Whisper Snapper is a transcription application for Mac that converts audio and video content into text using advanced AI models. It handles various media types including videos, podcasts, meetings, and voice memos, offering both local processing on the device and cloud-based options for flexibility and speed.

The app supports multiple AI engines including Whisper (available in Local & Cloud variants like Whisper Tiny, Base, Small, Large v3, Large v3 Turbo, and Whisper Distil Large v3), Parakeet (local models in v2 for English and v3 for multilingual), and Deepgram Nova-2 (cloud). It features speaker identification through diarization available via Deepgram, GPT-4o Transcribe, and Parakeet v3. The application can transcribe MP4, MOV, M4A, MP3, and WAV files and includes a built-in voice recorder for direct audio capture. Export options include TXT, SRT, VTT, Markdown, CSV, and PDF formats.

Users can choose between cloud-based transcription using OpenAI Whisper, GPT-4o, or Deepgram Cloud APIs for faster processing or download Parakeet and WhisperKit models for 100% offline transcription that requires no internet connection. This dual approach allows users to balance speed with privacy based on their needs.

The benefits include accurate transcriptions with timestamps and speaker labels, which help in creating subtitles for video editors or formatted documents. Use cases mentioned include transcribing client interviews for legal work, editing podcasts with automated speaker labeling, and journalists finding quotes easily in long interviews thanks to timestamps.

Target users are creators and professionals such as legal consultants, podcast editors, and journalists who need reliable transcription tools. The app is a native Mac application that works without requiring an account and integrates with video editing software through export formats like SRT for Final Cut.