ngram 2.0

ngram is an AI video generator that creates perfect AI videos for every team, covering onboarding, training, demos and explainers from a prompt or a screen recording. Its Product Hunt listing describes ngram 2.0 as a tool for creating explainers, screencasts, and AI avatar videos by turning ideas, documents, and recordings into narrated videos. The site presents it for sales teams, marketing teams, support teams, HR teams, product teams, founders, explainers and every team in between. The core promise is that you describe the video you want in plain words, ngram plans and builds it, and the finished video stays editable so you can then make it perfect. The problem ngram addresses is the gap between having something worth explaining and having a video that actually explains it. The site draws the contrast directly: Loom is useful for quick screen recordings but does not help with structure or polish, while Descript requires editing skills. ngram instead starts from your intent — who the video is for and what it should achieve — and builds a complete video with structure, visuals, and polish. The customer stories suggest why that matters. The Owelet team says, “I can finally show people what Owelet does instead of just describing it.” The Wolvio Solutions team reports that “what used to take weeks can now be done in a day” and cites 80% less production time, while the Quillr team went from producing 3 to 7 reels a week. A G2 reviewer notes ngram makes it easier to create and refine instructional content. ngram can begin from whatever material a team already has. The most direct starting point is a prompt: you describe your video idea, audience, and tone, and that description is treated as the whole brief. The site's own example brief asks for a 30-second launch film for Inkpolish, specifying the opening moment, the ranking drop, the fix, and a request to use the brand kit. Projects can also start from a screen recording or an uploaded video, which ngram analyzes to identify key moments and build clear product walkthroughs. Other inputs named on the site include documents and PDFs, screenshots, photos and references, your README, and even your website — for example, one prompt asks ngram to turn a website into a 30-second explainer for facility managers. The homepage is explicit that assets are optional: you can start with just a description, and ngram will write the script, plan the storyboard, and generate visuals to match. Before anything renders, ngram plans the story. After you describe the video, ngram outlines every scene and waits for your approval — the site's example plan lists five scenes with individual durations covering the publish moment, the ranking drop, the score and fix, the prompt, and the publish decision. Once approved, you watch it build: narration, soundtrack, visuals and animation come together while you watch, and the site describes ngram recording the narration, composing the soundtrack, generating visuals, building the animation and checking the result. The site also states that ngram plans the story structure before generating anything and uses your brand kit for consistency, a deliberate approach designed so videos look intentionally produced rather than obviously automated. Every video stays editable, which is where the “then make it perfect” half of the promise lives. You can edit any scene by chatting: you point at the frame you want changed and say what you want, and ngram makes a new version. In the site's example, a change pinned to scene two — “Get to this drop sooner. The intro runs long.” — caused ngram to shorten scene one from 4s to 2s so the drop lands sooner, producing version two. Iteration works in plain language after the video is done too, with requests like “make the intro shorter” or “swap the second scene for a screen recording.” You can also take the controls yourself: captions, music and scene edits are a click away, and captions can be set to styles such as Pop Light from the Edit video menu. Deeper control is available through the timeline editor, which offers frame-level precision, plus the ability to swap scenes, edit text, change styles and regenerate sections. ngram supports narrated, animated and avatar-led videos. You can create animated explainers or add an AI avatar presenter, and the site lists AI presenters and custom voices, cinematic AI footage, and the ability to swap the voice or the language. Captions are added automatically and can be matched to your brand colors. A brand kit is set up once, and every video then uses your identity — colors, fonts, logo, intro/outro sequences — for consistent branding across your entire team. Output is flexible: finished videos export as MP4, and short ones can also be downloaded as a GIF. You can create in 16:9 (landscape), 9:16 (vertical), or 1:1 (square) when the selected models support it, and you can download the finished video or share a link to it, or embed it. The overall method is a seven-step flow the site lays out in order: describe it, approve the plan, watch it build, preview the video, point at a change, take the controls, and download. The preview stage plays the finished video beside its storyboard, scene by scene, so you can see how each beat maps to the plan. This structure is what the site presents as the core difference from other tools — ngram starts from your intent and builds a complete video with structure, visuals, and polish, rather than handing you a raw recording or expecting editing expertise. It also means the video is planned before it is generated, so story decisions come before rendering, and revisions afterward are targeted rather than wholesale. The stated outcomes for users are speed, clarity and iteration without starting over. Teams report moving from weeks to a day, 80% less production time, and higher output like 3 to 7 reels a week. The site frames the benefit as being able to show rather than describe — “I can finally show people what Owelet does instead of just describing it.” Because you review the script and storyboard before anything renders and can iterate anytime afterwards, changes do not require rebuilding the video. ngram also reports a G2 rating of 4.6 out of 5 from 62 reviews, and offers a free start with no credit card. Use cases map onto teams. For sales and revenue, ngram pitches sending the demo and skipping the call, with pitch explainers built from screenshots. For marketing, it generates industry explainers from screenshots, promo videos with an AI presenter from a PDF or doc, and product launch films from photos and references. For customer success and support, it makes customer onboarding videos from screenshots and customer education from a PDF or doc. For HR, People and L&D, it produces compliance training and messages with an AI presenter from photos and references — including non-English training, such as a safety video in Vietnamese about hand hygiene compliance in hospitals. For product and engineering, it creates stakeholder demos from screen recordings and developer launch teasers from your README. For founders and leadership, it builds board update videos from reports and all-hands announcements from a prompt. For explainers and education, it turns a website into an explainer or builds technical explainers from photos and references. ngram is aimed at teams rather than individual editors. The homepage explicitly names sales, marketing, support, HR, product, founder, and explainer/education audiences, and the example library spans brands such as Slack, Headspace, Revolut, Robinhood and Cernel, alongside companies listed as customers including HubSpot, Deel, Zapier, ITV, Veeva, DP World, Genpact and SafetyCulture. Pricing is described as “Free to start · No credit card.” The marketing site is built on Next.js. The site is also clear that the product is not limited to marketing videos: teams use ngram for product demos, customer onboarding, internal updates, training videos, sales enablement, changelogs and investor pitches — any message that lands better as video. In short, ngram's value proposition is that anyone on a team can describe the video they need — or bring a prompt, a screen recording, a document, or a website — approve a plan, and end up with a narrated, branded, polished video they can refine by chatting or by hand. It removes the structure and production burden while keeping the finished video fully editable.