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Rescript

Open-source, transcript-based video and audio editor that runs fully offline — delete words in the transcript to cut the matching clip, with no uploads or servers involved.

Alternative to: Adobe Premiere and DaVinci Resolve
Video Editor Source Available Local First Privacy Focused Cross Platform Transcript Editing On-Device AI
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About Rescript

Rescript is a transcript-based media editor: drop in a video or audio file and it's transcribed locally with per-word timestamps and speaker labels, then editing becomes as simple as deleting words from the transcript — the corresponding clip is cut from the media automatically. All processing happens entirely on-device with no authentication and no file uploads, available as both a browser app and native desktop apps for macOS, Windows, and Linux. Transcription runs via transformers.js using Whisper Base or Whisper Small models (WebGPU with WASM fallback) inside a Web Worker, with speaker diarization handled by pyannote-segmentation-3.0, or users can skip transcription entirely by importing an existing SRT, VTT, or JSON caption file. One-click tools remove filler words ('um', 'uh') and silences of 0.3 seconds or longer, while a full timeline offers waveform display, draggable word timing handles, splitting, and independent cut-edge trimming beyond Whisper's original timestamps. Export options cover video (MP4/WebM, 720p–4K), audio (M4A/MP3/WAV), transcripts (TXT/MD), and subtitles (SRT/VTT/JSON), with frame-accurate re-encoding handled by ffmpeg.wasm. Rescript reports anonymous usage stats and crash reports by default, both disableable in settings. It's built with Next.js, Electron, and TypeScript, and released under the PolyForm Noncommercial License 1.0.0, permitting noncommercial use, modification, and sharing but not commercial resale or redistribution; earlier MIT-licensed releases remain available under MIT for those versions only.

Key Features

  • Transcript-based editing: delete words to cut the matching video/audio clip
  • Fully offline/on-device processing, no uploads or authentication
  • Local Whisper transcription with per-word timestamps and speaker labels
  • Import existing SRT, VTT, or JSON transcripts to skip re-transcription
  • One-click filler word removal and silence removal (≥0.3s)
  • Waveform timeline with draggable word timing and independent cut trimming
  • Split and trim clips beyond original ASR word boundaries
  • Live preview that skips cuts in real time during playback
  • Frame-accurate export via ffmpeg.wasm (video, audio, transcript, subtitles)
  • Works on podcasts, voice notes, and interviews, not just video
  • Browser app plus signed/notarized desktop apps for macOS, Windows, Linux
  • Auto-updating desktop builds via GitHub Releases
  • Optional, disableable anonymous telemetry and crash reporting

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