Video AI Tools

Capnot is a macOS app that adds a caption-first communication layer on top of whatever is on your screen. It places live captions, caption bubbles, drawings, and pointer tools over any app running on your Mac, so a screen demo can still make sense when the sound is off. The product is built for people who explain through screens — SaaS founders and indie developers shipping product demos, presenters, remote workers, educators, and streamers — and its stated purpose is to let you record once and explain it live, with no voice-over and no post-production. Every tool is one hotkey away from a menu bar app, and the captions and annotations appear on screen instantly in whatever recording or screen share you are already running. The website frames the core problem simply: your screen is visible, but your meaning is not. It describes three specific failures. First, the demo is done but the editing is not — you finish a walkthrough and then lose another hour adding captions, arrows, and zooms in a video editor. Second, no mic means no explanation, so a noisy room, a muted call, or a silent social post stops you from explaining what is on screen. Third, viewers lose the tiny cursor and miss the button, menu, or detail you meant to show, which breaks the explanation. Capnot's answer is to add the missing communication layer while you record, share, or present, rather than afterwards in an editor. The Caption toolkit covers everything you want to say, on screen, right now. Bubble Chat (hotkey ⌃/) creates a caption bubble anchored to your cursor; you click anywhere to plant it on screen so viewers read your message next to the thing you are talking about, with no "look at the top-left corner" confusion. Dialogue Mode (⌃.) presents like a broadcaster, showing your name, photo, and title above a polished subtitle panel at the bottom of the screen while you speak naturally; you can choose from built-in style presets or design your own, and toggle Dialogue Mode off for a clean subtitle-only look. With the broadcaster overlay off, you get the Subtitle Bar: a slim, unobtrusive, readable bar at the bottom of the screen, style-matched to your brand. Live Captions, marked Beta, let you hit the mic and speak naturally while Capnot transcribes you in real time via macOS Speech Recognition, fully on-device, so no audio leaves your Mac and there is no cloud or subscription involved. The Annotation toolkit lets you draw attention to what actually matters by overlaying your screen with drawings and shapes, with no app switch and one hotkey. The tool list includes a Move tool to reposition shapes, a Pen for freehand drawing, an Arrow to point to anything, a Line tool for straight lines, a Rectangle for box shapes, a Circle for circles and ellipses, Text for text labels, and a Counter for numbered markers — useful for walking through steps in order. A Blur Box lets you redact content, an Eraser removes shapes, Select Color picks the stroke color, and Clear All wipes the canvas. Because these annotations are drawn directly over the app you are demonstrating rather than added later in an editor, the shapes and labels land exactly where the explanation happens. The Pointer toolkit makes your cursor impossible to ignore with four tools. Spotlight Mode (⌃S) dims the screen to black except for the area around your cursor, with feathered edges that keep it natural, so your audience stops looking at the wrong part of the screen. The Laser Pointer (⌃L) shows a vivid glowing dot that trails behind your cursor with a fading streak, with adjustable color, dot size, trail duration, and glow intensity — described as looking great in recordings and live screen shares. The Cursor Highlighter (⌃H) puts a bright ring around your cursor everywhere on screen, with customizable color, size, and shape to match your brand or mood. The Magnifier (⌃M) shows a circular magnified view that follows your cursor with a crosshair and adjustable zoom level, so you can show small UI details, tiny code diffs, or compressed content without zooming your entire display. Overall the product works as an overlay and a hotkey system rather than a recording suite. Capnot installs once, follows a guided setup, and settles into your menu bar. From there, every tool has a keyboard shortcut — no menus, no mode switching, no hunting for buttons — and captions and annotations appear on screen instantly. Because Capnot sits on top of any app, it works with any screen recorder or screen share; you are not locked into Capnot's own capture workflow. The site describes the whole path as three steps: install once, press a hotkey, and you're done, with no timeline editing and no post-production. A Settings window with four tabs — General, Caption, Annotation, and Pointer — lets you change every keyboard shortcut, font size, colors, corner radius, opacity, gradient borders, and more. The stated benefits follow from that design: you finish a walkthrough without losing another hour adding captions, arrows, and zooms in a video editor; you can explain what is on screen even in a noisy room, a muted call, or a silent social post; and viewers no longer miss the button, menu, or detail you meant to show because the pointer is impossible to lose. Because explanations go into the recording live, you record once and share immediately. Because Live Captions run on-device through macOS Speech Recognition, no audio leaves the Mac. And because it is a one-time purchase, there is no subscription hanging over every demo you make. Concrete use cases named on the site map to specific audiences. SaaS founders and indie developers ship product demos without voice-over, explaining a launch, feature, or code walkthrough with captions already on screen, then recording once and sharing immediately. Presenters keep their audience reading with on-screen cues, talking points, and live captions during conference talks and demos while their slides stay clean. Remote workers communicate without a mic by typing captions teammates can see during screen shares, which suits noisy environments, muted calls, or async video. Educators highlight what they are pointing at, annotate diagrams, and caption explanations in real time to make lessons easier to follow. Streamers drop captions, circle things on screen, and spotlight content live without touching their streaming software or switching scenes. On pricing and requirements, Capnot is $12.99 as a one-time purchase with one plan that includes every Caption, Annotation, and Pointer tool — no subscription and no feature-gated Pro tier. A 7-day free trial requires no card. The license covers one Mac, updates are included, and checkout is handled by Polar, with refund requests handled according to Polar's refund policy. Capnot supports macOS 13 (Ventura) and later, and Live Captions requires macOS Speech Recognition, available on Apple Silicon and Intel Macs. The app ships as a downloadable DMG, and the site notes there is no account creation, timeline editor, or complicated recording workflow. In short, Capnot's value proposition is that your next demo can explain itself: live captions, annotations, and pointer tools added to every recording on a Mac, for a single one-time price, with no voice-over, no editing afterwards, and no subscription.

LiveReacting for ChatGPT is a ChatGPT plugin that lets people create and manage live streams by typing a request into a ChatGPT chat. After installing the plugin and signing in with a LiveReacting account, a user types @LiveReacting and describes the stream they want: a 24/7 loop of videos on their YouTube channel, or a recorded video that should go live at a time they choose. ChatGPT then works with what already exists in the LiveReacting account — the videos in the library and the channels that have been connected — and builds the stream there. LiveReacting's servers send that stream to YouTube, Facebook, Twitch, LinkedIn, X or any other platform the user has connected, all at the same time, so the user's computer can be off while the broadcast runs. Running a continuous or scheduled live stream normally means opening a streaming tool, preparing the video files, building a playlist, picking destinations and starting the broadcast — a sequence of steps that has to be repeated for every new stream. LiveReacting for ChatGPT moves that work into a conversation. The product page frames the experience as asking for a stream "in your own words": type @LiveReacting, then say which videos, which channel and what time, and ChatGPT works out the steps and reports back when they are done. This matters for creators, pages and teams that publish recurring or scheduled streams and would rather describe the outcome they want than operate a streaming interface each time. Two of the plugin's core capabilities are looping videos as a 24/7 live stream and scheduling a recorded video. For a 24/7 stream, the user names the videos and the channel; ChatGPT puts them in a playlist in the order the user wants, and that playlist plays on a loop until the stream is stopped. For a scheduled stream, the user gives ChatGPT the date and time the broadcast should start, up to 28 days ahead; LiveReacting starts the stream at that time and ends it when the video ends. The scheduled mode plays the video once, which contrasts with the loop that runs continuously. Both modes are created from the same chat, so a user can move between a permanent channel and a one-off broadcast without leaving the conversation. The plugin works with videos that are already in the user's LiveReacting library, and it can add new ones from a link. A user can give ChatGPT a Google Drive link, a Dropbox link, a public link to a video file, or a video from their own YouTube channel, and ChatGPT adds that video to the library. When building a 24/7 stream from library videos, ChatGPT finds the videos in the library and checks that each one can be streamed before building the looping playlist. Videos stored on the user's own computer are handled differently: they are added to the library in the LiveReacting Studio first, after which the user can ask ChatGPT to use them. In the chat itself, ChatGPT takes a new video from a Google Drive, Dropbox or public link rather than from a file the user attaches. Multistreaming is built into the same request. A user can pick several channels for one stream, and LiveReacting sends it to YouTube, Facebook, Twitch, LinkedIn, X or any other platform connected to the account at the same time. This means a single chat request can reach several audiences at once instead of requiring a separate setup for each destination. The product page also notes a practical limit on Facebook: Facebook ends a live stream after 8 hours, so a 24/7 stream cannot run on Facebook alone. Adding YouTube or another platform to the same stream keeps it running there, which is why multistreaming matters for continuous channels. Streams are not frozen once they start. From the chat, a user can add a video to the playlist or switch to another scene while the stream is live; viewers see the change and the stream keeps running. The plugin also reports on performance. A user can ask whether a stream is live and how it is doing on each channel, and for past broadcasts ChatGPT tells them how long each one ran and its peak viewers. Together these two capabilities turn the chat into a lightweight control and monitoring surface for streams that are already broadcasting. Under the hood, the plugin connects to the LiveReacting MCP server, the same server that Claude, Claude Code, Cursor and other AI agents use. Setup is short: choose Open in ChatGPT, click Install plugin, and sign in with a LiveReacting account when ChatGPT asks; then, in any chat, type @LiveReacting and ask for the stream. ChatGPT receives access to the LiveReacting account but never sees the user's platform logins — YouTube, Facebook, Twitch and other channels are connected inside the LiveReacting account, and ChatGPT picks from the ones that were connected. The actual broadcast is produced by LiveReacting's servers and sent to the chosen platforms, which is what allows the user's computer to be switched off. The main benefit is that a stream can be requested in natural language and then runs without the user's machine being involved. Because LiveReacting's servers send the stream, the user is not tied to a computer during the broadcast. Because the plugin works with the videos and connected channels already in the account, users do not need to rebuild assets for each stream. Because the playlist can be changed and the status checked from the same chat, routine maintenance — swapping a video, checking which channels are live, reviewing how long a past broadcast ran and its peak viewers — happens in the conversation where the stream was created. The product page illustrates the workflow with example prompts. One asks to loop the videos from the LiveReacting library as a 24/7 live stream on a YouTube channel, which suits a channel that should always be broadcasting. Another asks to live stream a recorded video from Google Drive on a Facebook page today at 8 PM: ChatGPT imports the video from the link, builds a stream that plays it once, then schedules it for 8 PM on the Facebook page. A third asks to show the status of running live streams, and ChatGPT lists which streams are live and how each one is doing on every channel. The same capabilities cover multistreaming one stream to several destinations and adding a new video to a playlist mid-broadcast. The plugin is included in every paid LiveReacting plan. On the Free plan, ChatGPT can connect, but each request stops with a message that the account needs a paid plan. The page is explicit about what the plugin cannot do: it cannot build overlays, polls or trivia, which are created in the LiveReacting Studio, the browser-based stream editor — although ChatGPT can still start, schedule, stop and check a stream that has them. It cannot import a YouTube playlist or channel; users give one video link at a time in the chat, or import the whole playlist or channel in the Studio. And it cannot run a 24/7 stream on Facebook alone, because Facebook ends a live stream after 8 hours; adding YouTube or another platform to the same stream keeps it running there. In short, LiveReacting for ChatGPT turns a chat message into a running broadcast. It combines 24/7 looping playlists, scheduled pre-recorded streams up to 28 days ahead, multistreaming to the platforms a user has connected, live playlist and scene changes, and status and viewer reporting, all handled on LiveReacting's servers so the user's computer can stay off.

OpusClip 4.0 is an AI video editing tool that takes a raw take and returns a finished video. According to the company, it was built for talking videos: users drop in raw footage or paste a link, switch on options such as speech cleanup, captions and B-roll, and receive a finished video back. The product is aimed at the kind of creator who records a two-minute product update on a phone between meetings, a dentist answering patient FAQs on camera each week, or someone teaching an audience how to make high-protein meals. Its stated purpose is to give a team of one some of the range that media companies get from a room full of editors, so individuals can post often and in many formats without hiring an editor. OpusClip originally described itself as built to "slice a clean fish." Early users brought finished videos, such as a podcast episode that was already edited or a keynote someone had cleaned up, and OpusClip found the best moments and turned them into clips. That worked, and the company notes that scrolling a feed for a few minutes gives a good chance of seeing a clip that came through OpusClip. But what people bring has changed: increasingly it is a raw take that nobody has had time to edit. The company observes that many founders and operators now have to make video content because that is where their customers are, yet almost none of them enjoy editing. They film in one take because they know they will never get around to cutting it, and they post it as is; many already have a good video sitting on their phone, filmed weeks ago and never edited. For a while OpusClip kept improving clipping and left the hardest part, the edit itself, to the user; version 4.0 takes that on. Auto-edit is the headline addition. It is built for talking videos: users drop in raw footage or paste a link, then switch on speech cleanup, captions, B-roll and more, and what comes back is a finished video. The value is that the step where most solo creators stall, actually cutting the take, is handled automatically, so a recording that would otherwise sit unedited on a phone can become something publishable. Because the controls are switches rather than a timeline, the workflow stays simple for people who do not enjoy editing and do not want to learn a professional editor. Every format means one edit can become whatever the user needs that week: 60 to 90 second highlight clips, a 3 to 5 minute extended cut, or a quick lo-fi update. This addresses the company's point that people who stay top of mind post often, in a lot of formats. Recipes address repetition: most people make the same kind of video over and over, so OpusClip lets users save their setup as a Recipe, or start from one of the built-in Recipes, and the next video gets edited the same way. Recipes turn a one-off success into a repeatable style, which is useful for a weekly series where every episode should look and feel consistent without being rebuilt from scratch. Viral Hook and Motion Graphics cover two tasks the company says editors spend hours on. Viral Hook gives the first few seconds of a video a hook style chosen from a template library, targeting the opening moments that decide whether a viewer keeps watching. Motion Graphics turns what the speaker says into animated icons, numbers and charts on screen, so spoken points become visual elements without a motion designer. Together they add polish that usually requires specialist work, applied to the talking video being edited. AI Producer lets people who already work in ChatGPT or Claude edit from there with an OpusClip plugin: the user shows it a style they like and it edits the footage to match. This meets creators inside tools they already use rather than requiring a separate editing session. Clipping has not gone away. The company says it is still what OpusClip is best known for and is still getting better, just one part of the product now, and it describes turning long videos into clips and publishing them to all social platforms in one click. The overall approach is to cover the whole path from raw take to every format a creator posts, rather than only the moment-finding step. A user brings footage or a link, selects cleanup, caption and B-roll options, optionally applies a saved Recipe or a hook template, and receives a finished video; the same edit can then be output as a short highlight, an extended cut or a quick update. For those already working in a chat assistant, the plugin moves the editing instruction into ChatGPT or Claude, where the user shows a style and the footage is edited to match. The stated benefits follow that workflow. The edit no longer stalls, so recorded footage actually gets published instead of sitting on a phone; a solo operator gets some of the range of a full editing team; Recipes keep styling consistent across repeat videos; Viral Hook templates handle the opening seconds; Motion Graphics add animated icons, numbers and charts without an editor; and one edit stretches across multiple formats. The company frames 4.0 as a starting point, with more planned around the edit in later releases. Concrete scenarios named in the content include a founder recording a two-minute product update on a phone between meetings; a dentist answering patient FAQs on camera every week; someone teaching 3,000 followers how to make high-protein meals; podcast episodes and cleaned-up keynotes being clipped into their best moments; weekly series that reuse a saved Recipe; and quick lo-fi updates versus 60 to 90 second highlights or 3 to 5 minute extended cuts from the same edit. The company stresses that a big audience or an editor is not required. Target users are founders, operators, dentists, educators and small-audience creators who make talking videos themselves. Pricing details in the content: a Free Forever Plan, described as creating and posting one short video every day for free; a Pro monthly plan; and a launch offer of 40% off the first month of Pro (monthly plan) via a coupon code. The page also shows related OpusClip tools: OpusSearch, which uses AI to surface the exact clip you need from hours of footage in seconds, and Agent Opus, which runs research, scriptwriting, storyboarding, motion, voice and edit. The company states that OpusClip is used by more than 20 million creators and brands. OpusClip 4.0's takeaway is simple: it moves beyond clipping to editing the raw take itself, so one recording can become a hook-led short, an extended cut and a quick update without a timeline, an editing skill, or a team. For anyone whose good videos are stuck unedited on a phone, that is the difference between having footage and publishing it.

Clayzo is an animation engine built for coding agents. Rather than building motion design by hand in a separate animation tool, you describe the motion you want and an agent such as Claude Code, Codex or Cursor writes it in code, looks at the result, and iterates. The finished animation can be shipped as a video or played live on your website. Clayzo presents itself as animation built for Claude Code, Codex and Cursor, and its showcase spans campaigns, 3D, product UI and interactive pieces, from a ten-second feature launch post to a cursor-driven halftone portrait. That range makes the product relevant to anyone who already works with a coding agent and wants motion graphics to come out of that same workflow instead of a separate pipeline. The idea behind Clayzo is a shift in how motion design gets made. Coding agents like Claude Code, Codex and Cursor already work inside a code workflow, and Clayzo gives them an animation engine to work with, so motion becomes something the agent produces rather than something assembled by hand frame by frame elsewhere. The site states the loop plainly: you describe the motion, your agent writes it, looks at the result, and iterates. The output is either a video you ship or an animation that plays live on your site, so one piece of work can serve a launch video and an interactive page. Everything you make is yours to reuse and remix, and Clayzo says work is never locked in: you can easily change anything or spin up as many variations as you like. The product is backed by Afore Capital and is free. Clayzo is designed to work with coding agents rather than replace them. The site names Claude Code, Codex and Cursor specifically, and its own FAQ asks which agents it works with and which models work best, making agent compatibility a first-class part of the product. In practice this means the animation is authored in code by the agent you already use, inside the environment you already work in, so there is no separate animation editor to learn. You describe the motion in plain terms, the agent writes it, and Clayzo provides the engine the agent targets. For teams already directing agents at other development tasks, motion graphics become one more thing the same agent can be asked to produce, keeping animation inside the existing coding workflow instead of splitting it off into a different tool and a different set of skills. A defining part of the workflow is the review loop. Clayzo's pitch is that your agent writes the animation and then reviews every frame, iterating until the motion matches what you described. That feedback cycle is what makes an agent-authored animation practical: instead of accepting whatever code comes out first, the agent can inspect the rendered result and refine it. When the animation is right, you choose the output. You can ship it as a video, exporting it as motion graphics for use wherever a video file is needed, or you can play it live on your site as a running animation. The same underlying work therefore covers both a rendered clip and an in-browser experience, which is useful for launch posts, ads, logo stings and product explainers that often need to exist in more than one format. Clayzo also covers live and interactive animation on the web. Beyond video, animations can play live on your site, and the showcase includes interactive pieces whose motion responds to the visitor: a halftone portrait rendered as a screen with a lens that follows the cursor and reveals the photograph underneath, a field of split discs that turn to face the cursor and flare hot where it passes, with a click sending a ripple through them, and a premium card that tilts toward the cursor with a highlight sliding across the metal and a shadow that follows. Other examples include a settings toggle, an agent thinking state, a payment confirmation and a piece that follows your cursor, showing that interaction and micro-motion are part of what the engine is built to produce. Clayzo's player is presented as lightweight. The site includes a direct comparison of WebGL players and states that Clayzo is 1.0× smaller than Rive, showing the Clayzo WebGL player against the Rive WebGL player. A smaller player matters for live animations because the runtime is what every visitor loads when the animation plays on your site, so keeping it small supports the goal of playing motion live rather than only embedding pre-rendered video. Getting started is similarly lightweight: the site shows a single command, npx clayzo@latest init, which is how you initialize Clayzo in a project. From there the work happens through your coding agent, which writes the animation in code and iterates against the result, with Clayzo supplying the engine and the WebGL player that ultimately runs it. Overall, Clayzo's approach is to treat animation as code written and refined by an agent. You describe the motion; the agent writes it, looks at the result, and iterates; the output ships as a video or plays live on a site. Because the work is code rather than a locked file inside a proprietary editor, everything you make is yours to reuse and remix, and the site emphasizes that it is never locked in: you can easily change anything or spin up as many variations as you like. The showcase illustrates the breadth of that approach across campaigns, 3D, product UI and interactive categories, covering launch posts, ads, logo stings, 3D shorts, explainers, product demos and cursor-driven web interactions, all produced through the same agent-driven loop. The benefits follow from that loop. Because the agent reviews every frame and iterates, you can refine motion by describing what you want rather than by manually adjusting it. Because the result can be exported as video or played live, you avoid rebuilding an animation for each destination. Because the player is WebGL and described as smaller than Rive's, live playback stays lean. Because everything is yours to reuse and remix and is never locked in, animations can be changed, extended and turned into multiple variations without starting over. And because Clayzo works with the coding agents teams already use, motion graphics fit into the existing workflow. The product is free, which removes cost as a barrier to trying the agent-driven approach on a real project. The showcase lays out concrete use cases. Campaign work includes a launch post for a Stack feature, where loose shapes snap into an auto-layout grid and teammates resize and duplicate them live. Advertising includes a punchy square ad for three new flavours, with each can flooding in on its own colour and a stamp that keeps turning. Branding includes logo stings: four quarter tiles swinging in and locking into a mark for Quarto, and a single white stroke on red drawing a crescent and writing a wordmark for lune. 3D work includes a wooden marionette short and a 3D explainer of Intel's earnings with a chip riding a rollercoaster. Product UI work includes a running app product shot where a tap opens into detail with the route replaying and splits rolling in, an AI spreadsheet where a Funding stage column fills in and grows into a chart, and an issue tracker where a new issue lands on the board and is dragged to In Progress. Interactive work includes the halftone lens, pointer field and tilt card. Clayzo is aimed at people who work with coding agents such as Claude Code, Codex and Cursor and want to produce motion graphics, product animations and interactive web animations through them. Its showcase categories, campaigns, 3D, product UI and interactive, indicate the kinds of work it is used for, from marketing launch posts and ads to product demos and cursor-responsive web experiences. The site notes that Clayzo is backed by Afore Capital and states that it is free, with a getting-started step of running npx clayzo@latest init. Its FAQ addresses questions about what Clayzo is, how to get started, which models work best, whether you can use your own images, fonts or components, which agents it works with, whether it is really free, where you can play Clayzo animations, and how it differs from Rive or Lottie. Clayzo's core value proposition is simple: animation, built for coding agents. You describe the motion, your agent writes it and reviews every frame, and you ship the result as a video or play it live on your site through a WebGL player the site describes as smaller than Rive's. Everything you make is yours to reuse and remix, nothing is locked in, and variations are easy to spin up, all through agents you already use and at no cost.

CutCat is a free Chrome extension that mutes or skips mature content, nudity and gore while you watch Netflix. It works from scenes that other viewers have already marked, so the film keeps playing and you simply do not sit through that part. The extension runs inside the Netflix player you already use in Chrome on a computer, and it is not affiliated with Netflix. Its promise is deliberately narrow: keep watching, skip the scene. CutCat is built for people who want to stay with a series or a film but would rather not sit through nudity, gore, strong language, kissing or credits, and who want to decide for themselves which of those categories count. The problem it addresses is a familiar one for anyone watching a title that mixes a story they want with material they do not. A marked scene arrives, and the viewer is left to either sit through it or reach for the remote and guess where it ends. CutCat removes that guesswork by relying on viewers who got there first: the exact stretch of a film or episode has already been identified by someone else, and that mark is what the extension acts on. Because the marks are shared across everyone using CutCat, the effort of finding and timing a scene only has to be made once. The catalogue is presented openly on the site, so a viewer can see what is covered before starting a title, and it grows as viewers mark more. Skipping is the first of the two core behaviours. When playback reaches a marked stretch, CutCat jumps the whole stretch rather than blurring, dimming or fast-forwarding it. The story continues either side of the gap, and the part in between is never shown. This is the behaviour used for the categories the site lists as skipped: mature content, nudity, violence and gore, kissing and credits. Because the jump covers the entire marked stretch rather than a guessed interval, the viewer does not have to scrub back to check whether the scene is really over. Muting is the second behaviour, and it is handled differently on purpose. When a word or a line is marked, only that line is silenced, and the sound comes straight back afterwards. The site describes the mute as measured to the frame, so the scene around the line is not lost. That distinction matters for strong language: a viewer who does not mind the scene itself but would rather not hear the profanity can keep the picture, the performances and the surrounding dialogue intact instead of losing whole minutes of a conversation. Skipping and muting therefore serve two different viewing preferences within the same extension. Control over categories is the third piece. Every category can be switched off, and the settings stay in your browser. The site lists the categories as mature content, nudity, violence and gore, strong language and kissing, each with its own switch, and describes the outcome in plain terms: switch whole categories on or off, and mute strong language and skip nothing else if that is what you want. This means the extension does not impose a single definition of acceptable content. A viewer can mute profanity only, skip nudity and mature content, or leave gore in place, without having to configure anything complicated or explain their choice to anyone. Overall, the approach is shared marking plus local playback control. CutCat does not analyse the video itself, and the site is explicit that nothing is downloaded or altered. When playback reaches a marked stretch it jumps past it, or the sound drops for a marked line and comes straight back. On a film or episode that nobody has marked, it plays as normal, because CutCat only acts on scenes viewers have marked. The coverage list on the site is the practical companion to that rule: it currently reports roughly 1,500 scenes marked across roughly 150 titles, on 2,500 films and episodes, and the list grows as viewers mark more. The outcomes for a viewer follow directly from those mechanics. A title that would otherwise be abandoned can be watched through, because the parts a viewer objects to are removed without touching the rest of the film. Nothing is re-encoded and nothing is edited permanently, so the viewing experience either side of a mark stays as it was. Privacy is stated just as plainly: CutCat never records what you watch, and your category settings stay in your browser, with the privacy policy listing exactly what is and is not collected. It is free and has no ads, so there is no subscription to manage and no advertising layer inside the player. Concrete use cases come straight from the coverage the site publishes. Someone working through Breaking Bad, with 115 scenes marked, or Dark, with 107, can watch with marked stretches removed. A viewer who wants Bridgerton (58 scenes marked) or Outlander (74) without the mature content can skip those stretches while keeping the drama. A viewer who cares about language but not about violence can leave the skip categories off and mute strong language only. Anyone unsure about a title can hover or drag through the coverage list first, then put the extension on and forget it is there. Because credits are one of the listed categories, it also covers viewers who simply want the credits skipped. The target user is someone who watches Netflix in Chrome on a computer and wants a filter they control, rather than a rating or a general-purpose parental control. Product Hunt lists the product under Chrome Extensions, Parenting and Streaming Services, which reflects that mix of everyday viewers and parents choosing what plays in front of others. The restrictions are stated without hedging: CutCat is a Chrome extension, so it runs in Chrome on a computer and cannot be installed on a phone, a tablet or a smart TV, and it works on Netflix only, not on Prime Video, Hotstar or other services. Pricing is free with no ads, and any category can be switched off at any time. The published catalogue shows where the coverage is deepest. Breaking Bad leads with 115 scenes marked, followed by Dark on 107, Outlander on 74, Bridgerton on 58, Vikings on 54, Spartacus on 52, Shameless on 45, Castlevania on 44, You on 42, Squid Game on 37 and 13 Reasons Why on 34. Further down the list are Cyberpunk: Edgerunners on 27, The Platform and Bodies on 26 each, UNABOMBER on 25, Troy: Fall of a City and The Witcher on 24, Apex on 22, Captain Fall on 20, Ozark on 19, Colors of Evil: Red and Unfamiliar on 18, The Tudors on 17, Something Very Bad Is Going to Happen and Stranger Things on 16, and American Psycho, Unlocked, The Beast in Me, Black Mirror and Peaky Blinders on 15 each. The list is a snapshot rather than a fixed set. CutCat is best understood as a small, single-purpose tool that does one job in the Netflix player and then stays out of the way. It skips or mutes marked scenes, lets the viewer choose which categories apply, keeps settings in the browser, records nothing about what is watched, and costs nothing. The value proposition is the sentence the site opens with: keep watching, skip the scene. Put it on, then forget it is there.

Flipcorder is a retro camcorder app for iPhone that turns the phone into a 1991 camcorder. It is built for catching small moments through your day rather than producing one polished video: you press record whenever something is worth keeping, film in short flips, and at the end of the day you get one raw film of your day to save or share. The app is made for iPhone Duo and works on any iPhone on iOS 26 or later, with the iPhone Duo extras requiring iOS 27.1. Its purpose is stated plainly on the site: film little moments all day, 20 seconds at a time, and nothing is edited out. The app exists as a reaction to how people now film. As the makers put it, we have lost touch crafting perfect videos for social media, and Flipcorder instead encourages you to take shorter flips of 20 seconds each throughout your day to enjoy as a home video at the end of the day. The site describes the product as being for catching small moments through your day, with no editing and nothing removed: the chatter, the pauses, and you fumbling for the stop button all stay in. The maker, Matt of Lotus Apps, describes it as the app he wanted for himself — as a dad, he wanted home video that feels real, with the chatter left in, and he wanted to build something for iPhone Duo. Turning the camcorder on is part of the experience. You press the glowing POWER key and the viewfinder warms up like an old TV; on iPhone Duo, opening the fold does it. The interface is styled as a camcorder body, complete with printed details such as “MADE BY LOTUS · AUTO FOCUS · Ø 52 · 8× ZOOM · 1 : 1.6 · f = 5.4 – 43 mm”, a lens-cap motif that reads “OPEN TO FILM” or “LENS CAP ON”, and a standby screen showing STBY with the time and date and today's cassette. Rather than a generic camera grid, the screen presents a flip counter such as “3 FLIPS · 0:52” and a red record key, so the shooting experience feels like operating a physical camcorder. Filming a flip is deliberately limited. By default, a flip stops by itself at 20 seconds, with a quiet countdown, so a moment is caught without the recording running indefinitely; the 20-second limit can be turned off in settings. You can also close the camcorder mid-flip, and the flip is saved before the camcorder powers down, onto today's tape. On iPhone Duo, the person you are filming sees themselves on the outside screen, in the same retro look, with a REC light so they know when to wave — a small detail that turns the filmed moment into a shared one. Every day gets its own tape, with a handwritten label, and a fresh one loads every midnight. A tape holds thirty minutes, and the app frames the limits as the fun: twenty seconds is enough to catch a moment and get back to your day, and thirty minutes is what a day's tape holds. If today's tape fills up, a flip that runs into the end is cut short and saved, never lost. Tapes accumulate on a tape shelf: a row of cassettes, one for each day, each labelled with its day or a name, showing how much is on it and whether it was saved in VHS or DV style, and you pick a tape to play it. The editing philosophy is the core of the product. There is no trimming, no cutting and no importing: every flip goes onto that day's tape in the order you filmed it, mistakes included. At the end of the day the day's tape can be saved to Photos as one film, and shared with a friend, a group chat, or wherever you like to post. The site's own description of the value is that the chatter stays in — the pauses and the fumbling for the stop button are part of the record rather than something to cut around. Flipcorder films clean video; the VHS or MiniDV look is a small extra you add when you save, so the same footage can be the clean HD original, VHS, or MiniDV. You can play a tape and switch between the three while it runs. The VHS look is described as softer and warmer, with color that bleeds, a tracking glitch that rolls through the picture and a white date stamp. Because the look is applied at save time rather than baked into the recording, one tape can be kept as a clean original and also saved with a retro look, and the time and date are stamped on every flip in the retro presentation. Privacy is handled by keeping everything on the phone. There are no accounts, no Flipcorder cloud and no tracking; videos stay on your phone until you save or share them. Every tape lives inside Flipcorder on your iPhone, one folder for each day, and they are included in your iPhone's backup. Copy new flips to Photos is off by default, so nothing goes to Photos unless you say so, and after you save a tape to Photos it is just a video in Photos. If the app crashes it can send a crash report, and it sends anonymous usage stats that can be turned off in settings; neither is linked to you and neither ever includes your videos. Getting to the camcorder quickly is supported in several ways. A widget shows today's tape as a cassette with a flip from today in its window; tap it and the camcorder opens ready to film, or today's tape opens in the player, and widgets read only a copy kept on your phone, with a “Show flips in widgets” setting that switches the pictures off. The Record control can be added to Control Center, the Lock Screen or the Action button, or you can ask Siri to “Record on Flipcorder”, or touch and hold the app icon and choose Record — any of them opens the camcorder on today's tape ready to go, and you still press REC yourself. Optional reminders offer a quiet morning nudge, an afternoon check-in while today's tape is still blank, and an evening note when it's ready to play; they are off until you turn them on and never count the days you missed. Flipcorder costs $4.99 once. There is no subscription, no watermark, no in-app purchases and no ads, and the site summarises it as one price with nothing locked. It works on any iPhone on iOS 26 or later, while the iPhone Duo extras need iOS 27.1. The app has been featured in WIRED, 9to5Mac, Stuff and The Mac Observer, and it reports being #3 in Top Paid Photo & Video on the US App Store. The maker is Matt of Lotus Apps in Knoxville, Tennessee, who has built software for other people since 2008 and started Lotus Apps in 2015. Coming later this year are a much more organized and useful library for when tapes start to fill up, and an Apple TV app. The site shows what the output looks like with six days saved as tapes, each a few short flips through one day saved as one tape: a picnic in the park, a family day from 10:12 in the morning to 5:58 pm; Sunday with the cats, a day at home with a black cat and a cream one from 10:04 in the morning to 6:05 pm; golden hour at the lake, an evening by the water from 5:10 pm to the sunset at 7:25 pm; Scout at the park, a collie at the park from 8:05 in the morning to the sunset at 6:12 pm; kitten nap day, a kitten asleep through the day with the time and date stamped on every flip; and zoo day, one Saturday at the zoo from 10:15 in the morning to a lioness at 4:05 pm, with a white tiger, a lion, giraffes and ostriches on the way. These examples show the intended workflow: shoot a few short flips as the day happens, then watch the day back as a single tape. Flipcorder's value proposition is that your whole day, unedited, becomes something you can watch back tonight. By keeping the limits — twenty seconds a flip, thirty minutes a tape, no editing — it removes the work of producing a video and leaves the record of the day, with the chatter and mistakes intact, saved as one film you can keep or share, with a retro VHS or MiniDV look available at save time if you want it.

Reelsflow is an AI video and image studio built for short-form content. On its site, you describe an idea, upload an image or add a reference, and get a finished short-form video without cameras, editors or agencies. The product describes itself as an all-in-one AI video generation engine designed specifically for short-form content, creating high-retention videos from a prompt, an image or a reference, with neural scriptwriting, realistic AI voiceover, animated captions and cinematic music included automatically. It is aimed at creators, marketers and businesses who publish often — from solo creators to rapid marketing agencies — and it is designed for high-frequency video output. Content is created once in vertical 9:16 and is intended for TikTok, Instagram Reels, YouTube Shorts, LinkedIn, Facebook Reels and Pinterest. The site frames the core problem in terms of effort. Manual video production, it notes, costs the same effort every time: you write the script, find footage or film it, record or buy a voiceover, edit, cut and caption, then resize and export per platform. Automation, by contrast, costs you the idea — you type an idea or upload an image, pick a style and a model, then generate, review and download. Reelsflow also emphasizes that no camera is required: no filming, no editing, no agency. That matters for creators who want to test more ideas, keep a steady posting rhythm and spend their time on what works rather than on repetitive production work. Every video begins the way you think, with three starting points. Text to video takes a described idea, story or lesson and has Reelsflow generate the script, select scene visuals, add a dynamic voiceover and finish the captions, with automatic neural script generation, cinematic visual scene prompts and 5, 10 or 15 second vertical renders. Image to video brings a still photo to life — portraits, Midjourney renders or product photography — adding fluid motion, camera sweeps and voice, with start and end frame control, positioned as ideal for listings, menus and ads. Reference to video maintains the same character face, costume or artistic style across multiple clips so an episodic series looks like one unified cinematic world, and helps build recurring brand mascots. Reelsflow bundles several AI models in one studio. Seedance 2.5 and 2.0 offer fluid movement that holds together from first frame to last, with fast and mini variants for rapid drafts, support for both prompt-to-video and start/end keyframe interpolation with consistent character persistence, up to 4K Ultra-HD and fluid physics. Veo 3.1 Fast is described as cinema with native environmental sound, with volumetric lighting, realistic lens depth of field and optional synchronized native audio, up to 4K with 35mm lens emulation. Kling V3 Pro focuses on humans and characters that feel genuine, with natural micro-gestures, believable facial expressions, voice control and retained clothing details and accessories across camera moves. Grok Imagine is the rapid concept tester for high-speed motion drafts at the lowest credit cost. For images, Nano Banana generates within 3 seconds and supports natural language edits to clothing, lighting, background or camera angle, while GPT Image 2.5 targets sharp, clean typography for YouTube thumbnails, book covers and ad creatives up to 4K. Gemini Omni Flash and MiniMax H3 Max are also built in, and model access depends on the pack purchased. Alongside video, an image studio produces thumbnails, posters, ad creatives and scene starters in seconds with Nano Banana and GPT Image, with examples including cinematic posters, YouTube thumbnails, character designs, photorealistic ads, sci-fi scenes, fantasy concepts, product showcases, anime illustrations and scene starters. The text-to-image workflow includes a neural brief expander that turns raw thoughts — the site's example is "cat astronaut" — into a photorealistic director brief, with square 1:1, 16:9, cinema and 4K master framing options. Voice and captions are handled automatically: six narrator styles are offered (Documentary Narrator, Storyteller, High-Energy Hype, Friendly Business, Dark & Suspense and Calm Explainer) in multiple languages and accents, with captions that animate in time and cinematic music included. Overall the pipeline is summarized as Idea → Script → Scenes → Voice → Captions → Export. For channel launches the site suggests a four-step path: pick an evergreen niche you can talk about for months (History, Wealth, Horror, Anime, Tech); batch generate by inputting seven hooks so the engine writes scripts, voices narrator audio and builds scenes; post consistently by downloading watermark-free 9:16 videos and scheduling daily across TikTok, Reels and Shorts; then scale and monetize by doubling down on top-performing hooks, qualifying for Creator Funds and selling digital products. Creation runs through Text Studio, Image Studio and Reference Studio, matching the three starting points. Reelsflow markets speed and simplicity: videos in minutes rather than hours, no camera required, and content sized for YouTube Shorts, Instagram Reels and TikTok. A comparison table positions it against subscription tools, single-model apps and manual editing across payment model, top AI models, script/voice/captions, images and video, cost if you skip a month, and scheduling. The FAQ states that exported videos are watermark-free and come with full commercial rights for YouTube monetization, TikTok Creator Rewards, Instagram sponsorship deals and client projects. Every new user receives free generation credits on registration so the scriptwriter, voice generator and rendering quality can be tested before purchasing any credit pack. Sample niches show concrete workflows: faceless channels in history, finance, horror and motivation with narrated stories and cinematic visuals and no one on camera; anime and stylized worlds with illustrated characters and dramatic scenes kept consistent across every episode; and serialized content (part one, part two, part three) that reuses a style and characters so followers know what to expect. For businesses, restaurants, salons, gyms and agents turn offers into reels, and image-to-video animation suits product listings, menus and ads. Agencies produce client content at a pace that fits their margins, brands test creative angles quickly across feeds, and coaches and educators turn lessons, podcasts and threads into short videos. Pricing is organized as one-time credit packs rather than subscriptions. Starter costs $19 for 5,000 credits and includes Gemini Omni Flash, with estimated maximums of 20 ten-second videos or 166 images. Growth costs $49 for 12,500 credits, adding Grok Imagine and MiniMax H3 Max, with about 50 videos or 416 images. Studio costs $99 for 25,000 credits and adds Veo 3.1 Fast, Kling V3 Pro and Seedance, with about 100 videos or 833 images. Figures are estimates based on spending the full balance on 10-second Gemini Omni Flash 360p videos or Nano Banana images, vary with the model, resolution, duration, audio and settings chosen, and are not a guaranteed quota. Credits are valid for 30 days from purchase and do not roll over, and prices are in USD. There is no auto-renewal, no stored cards charged on recurring loops, and users recharge as they go. An interactive credit estimator recommends a pack from monthly video needs. Scheduling and automatic publishing are listed as coming soon, with a weekly content calendar and one-click publishing in progress; today users generate videos and images, download them and post them themselves. In short, Reelsflow's proposition is a single studio where one idea becomes a publish-ready vertical video — script, scenes, voice, captions and export — using a choice of leading video and image models on a pay-once credit model instead of a recurring subscription.

Clips by Plastic is a lyric and lip-sync video maker for Mac that turns a finished song into vertical videos for every part of it. You drop in a song along with your own footage or photos, and the app cuts every part and its catchiest snippets into vertical videos, on the beat, with the lyrics synced word by word. It is built for music artists, and for the people who promote their songs, who need ad creative for a release without opening a timeline-based editor. The point of the app is stated plainly on its site: find the part of your song that sells it, test them all, then spend on the one that works. The problem Clips was built around is stated on its own site: making 15 videos takes all evening, so you cut two and pray. A single song has multiple parts — intro, verses, pre-chorus, chorus and bridge — and any one of them might be the fragment that makes a listener stop scrolling. Producing a separate video for each part, on each backdrop, by hand in a conventional video editor is slow, repetitive work, and it competes directly with the time an artist wants to spend on music. The founder's note on the page makes the same point from personal experience: Clips was built while promoting an album, because cutting the same song fifteen ways was eating the time that was meant for music. Instead of guessing which section to promote, the product is designed to let results from real ad spend pick the hook. Clips begins by analyzing a finished song. It finds the tempo — the page shows an example at 124 BPM — and it detects every part of the song, listing sections such as Verse 1, Pre, Chorus, Verse 2, Bridge, Chorus and Intro. Each of those parts then becomes one clip, and the clip is cut on the beat rather than at arbitrary timestamps; the page describes a chorus section as "16 beats, cut on the beat." This matters because a vertical ad that starts and ends on the musical grid feels intentional and loops cleanly, and because the artist does not have to scrub a waveform to find section boundaries. The work of mapping the song's structure is done automatically, so the first step of the four-step workflow is simply dropping the song in. The second layer is lyrics. Clips syncs the words to the music and offers two modes: word by word, on the beat, or line by line, on the beat. A word-level sync puts each word on screen as it is sung, which keeps a short vertical clip visually busy and readable without the viewer needing sound. The page also shows a third element: a hook line placed on top of the video — a short phrase that stays visible while the synced lyrics run below. The hook is what makes a clip legible at a glance in a feed; the word-level lyrics are what hold attention once the clip starts playing. Together they allow one song section to be presented as a self-contained ad rather than an excerpt that needs context. Visually, Clips separates the words from the treatment applied over them. You pick a layout, then choose from 54 effects — the page lists Paper, Glow, Vertigo, Riso, Xerox, Tape, Bitmap, Lines, Heatwave, Drift and Negative among them — and drag a strength slider to set how strong the effect is. Because the effect sits on top of the same footage, one chorus can be produced in 54 different looks, so ads can match the visual language of a release instead of looking like a template. The page frames the output as ads that look like your release, not like a template. A backdrop in Clips is effectively that combination of footage and treatment: the export screen shows the same set of parts repeated across backdrops named katana, neon and eye. Export is where the multiplication happens. Rather than rendering one video at a time, Clips exports every part of the song on every backdrop in a single batch — the page shows 15 videos being exported at once, in vertical 1080 × 1920, with square 1080 × 1080 also supported. Files are named by song, part and backdrop, so a batch drops straight into Ads Manager without a renaming session. The page contrasts this directly with the manual route: a video editor handles one video at a time, Flowstage limits posts, Hypeddit's maker restricts output, and none of them produce every part of the song in one batch. Clips is presented as producing about 30 ads a song. The four-step workflow is stated explicitly: drop your song, and Clips finds the tempo and every part; pick the parts, and each becomes one clip, cut on the beat; add your hook, a line on top with lyrics synced word by word; and export, every part on every backdrop, ready for Ads Manager. The methodology continues past export into a testing loop the page calls Test first. Then spend. On Day 1 you upload the batch. On Days 2 to 6 you let them all run at a few dollars a day each, so strangers rather than your own guess decide the winner. On Day 7 you keep the winner and put your budget behind it. The example given is deliberately counterintuitive: the intro won, not the chorus — $0.21 cost per result against $0.63 for the chorus — which is the argument for testing rather than assuming the hook is the chorus. Cost per result is tracked one line per part: Intro, Verse 1, Pre, Chorus, Verse 2 and Bridge. The stated benefit is time and confidence. A batch that would take an evening of timeline work is produced in one export, so the artist can ship many variants instead of two. Decisions about ad spend are made on measured cost per result rather than intuition about which section is catchiest. Because the app runs offline and on the Mac, an unreleased song never leaves the machine — a meaningful point for artists sitting on music before release. And the pricing is a one-time purchase of $99 for the Artist license: no subscription, no credits, no caps, free updates, with a 30-day refund. The free version is not a trial with a timer; it includes every feature and unlimited exports, and the only difference is a small Clips tag on exports, which you remove by buying the license before putting money behind an ad. Concrete situations described on the page include an artist with a new single who wants a batch of ad creative in minutes rather than an evening; an artist without footage, who can use photos since Clips animates stills, a single phone clip for a whole batch, or free high-quality vertical videos from Pexels matched to the mood of the song; an artist between releases, who can use the non-expiring free version on an old song; a label, studio or manager producing videos for a roster or clients under the Label / Studio license, which covers client and commercial work and up to 10 Macs; and an artist testing the same chorus across many effects to find a look that fits the release. The Day 1 to Day 7 workflow is itself a use case: running every part of one song as a small-budget ad set for a week and consolidating budget on the winner. Clips is aimed at music artists promoting their own releases and at the labels, studios and managers promoting artists they work with. The site distinguishes the two in licensing terms: Artist at $99 once covers your own music, removes the Clips tag and allows up to 3 of your own Macs with free updates; Label / Studio at $299 once covers up to 10 Macs for a team, client and commercial work, and priority email support. A bundle with Plastic's DOT app is $125 once for both apps unlocked, up to 3 Macs and free updates. Requirements are macOS 13 or later on Apple silicon or Intel, with lyric sync described as best on macOS 26; Clips is Mac only today, and the page invites Windows users to write in. Delivery is a DMG download (Clips-1.3.2.dmg) with a step-by-step guide sent by email. Clips by Plastic packages a repetitive production job into a four-step Mac app and pairs it with a testing method: analyze the song, cut every part on the beat, sync the lyrics word by word, add a hook, export every part on every backdrop in one batch, then let a week of small ad spend reveal which part sells the song. Free to try without a time limit and $99 once for the Artist license, it is built for artists who would rather test fifteen versions than cut two.

How It Went is an app that turns one ride or a whole trip into a short film, built from the GPS track, photos and clips a rider already has. The route draws itself across a tilted map, each photo appears at the point on the track where it was taken, and clips play where they were shot. Rides can be picked straight from a Strava account or brought in as Garmin FIT files — including the zip produced by Export File in Garmin Connect — or as GPX. The output is an ordinary MP4 video, delivered in 9:16 for Instagram and TikTok or 16:9 for YouTube, assembled on an iPhone, an Android phone or a Mac. It is made for people who come home from a long Saturday or a week away with a track nobody is ever going to scroll through, and who want that day or that trip told as a film rather than a slideshow. A handful of photos, a couple of clips and a GPS track is what most trips actually produce — and the track is the part nobody is ever going to scroll through. A slideshow fails on exactly the day you most want to keep: the long solitary one where you were too tired to take pictures. There may be one photograph from six hours in the saddle, or none at all, and nothing to hold the day together. The track, by contrast, is the only thing recorded densely enough to carry a day on its own. How It Went is built on that observation: here the route is the film, and the photographs punctuate it. Instead of stringing stills together and hoping they add up to a story, the film is anchored to the movement itself, so a day with almost no pictures still has something to show for it. The app accepts rides in several ways. Strava users can pick rides straight from their account, so a ride already recorded on a head unit or phone arrives without extra handling. Riders who keep their own files can bring Garmin FIT files, including the zip file you get from Export File in Garmin Connect, and GPX files. A whole trip can be dropped in at once rather than loading one activity at a time, and a single ride can be sent over from another app's share sheet. Films can cover one ride or an entire trip. Several activities merge into a single film, day by day, with rest days kept as rest days rather than dropped from the running order, so the shape of a week away stays intact. Each day opens with its figures — a day card over a faded map, as in the app's own example of Day 2 of 5, 152.9 km, 1,283 m and 5 h 06 — and a quiet card marks a rest day. The route is drawn across a tilted map, and the longest climb stands up off the map as a wall with its height captioned. The hardest effort of the week is marked with a highlight on the route. A single ride works as a film on its own: it opens on the date and the distance, with no day count to sit through. Photos find their place automatically, placed along the track by the time they were taken rather than by hand-dragging them onto a timeline. When one lands wrong, the film can be played to the point where the photo was taken and the photo placed there, and the rest of that camera's photos can follow. The same logic covers a common failure: an action cam never set to local time will drop a lunch stop in the wrong valley, and there is no way to tell by looking at the photograph. Fixing the clock once moves everything shot on that camera together, so a whole card of footage is corrected in one step. The times in the film are the times you rode at — edit after you have flown home, and a photo taken at 1:30 still says 1:30. A four-minute action-cam file usually holds two or three moments worth keeping, not one. How It Went lets each of those moments be pulled out on its own, so the clips that land in the film are the ones that matter rather than the whole recording. Clips sit where they were shot, framed by the map above and below, which keeps the footage tied to the place it came from instead of floating free of the route. Combined with photo placement, this means every piece of media in the film is anchored to a specific point on the track. How It Went is explicitly not a training app. There are no leaderboards, no segments, no percentiles and nothing that ranks you against anybody else. The figures in the film say what kind of day it was rather than how you compared to other riders. That choice shapes the whole product: the numbers that appear — distance, elevation, moving time, a hardest effort — are there to describe the day, not to grade it. The film is a record of where you went and what you saw, and the map is the spine that everything else hangs from. Out comes an ordinary video file: 9:16 for Instagram and TikTok, or 16:9 for YouTube. The film is assembled on the phone, so it can be posted the evening you get in. The Mac version is a real Mac app rather than the phone app in a window: a ride can be opened from Finder, and a trip can be sent from the phone to the Mac and back. A single long Saturday becomes a film on its own, opening on its date and distance. A week away becomes a day-by-day film with rest days left in. A rider who shot almost nothing on the hardest day still gets a film out of the track. Someone who comes home with a mis-set action cam fixes the clock once and the photos and clips fall into place. Anyone who wants to post the same evening exports a 9:16 file straight from the phone, and anyone who prefers a bigger screen moves the trip to the Mac. Strava users, riders who record on Garmin devices and export FIT files, and anyone carrying GPX files from another app are the natural audience, along with travellers who bring back photos, action-cam clips and a track from a multi-day trip. The app runs on iPhone, Android and Mac, and is available from the App Store, the Mac App Store and Google Play. It is free to use, with an optional Premium tier. How It Went's proposition is narrow and clear: the route is the film. By building the video around the GPS track and letting photographs and clips punctuate it, the app produces something worth keeping from days that a slideshow would have lost — and it does so on the phone in your pocket, ready to post.

subtitle.im manages existing YouTube captions in Chrome. Choose follow YouTube, automatically on or automatically off across videos. Local OCR detects burned-in subtitles to help handle duplicate soft captions according to your settings. Restore captions anytime. Try 10 successfully handled videos without signup; optional Pro supports continued handling, channel rules, video exceptions and memory of confirmed closures. It does not generate, translate, download or remove burned-in subtitles.