Subtitle Edit
Open Source PopularFree open-source subtitle editor with waveform timing and Whisper transcription
Demo
SUBTITLE EDIT: complete tutorial
Use Cases
Licensing and usage summary for common production scenarios
Subtitle Edit is an MIT-licensed open-source desktop application. Commercial use of subtitle files is generally a content-rights question, but optional Whisper engines, OCR assets, dictionaries, translation services, and media sources can have separate terms.
â ïļ Usage Notes
Important constraints to review before production use
- ! Best for hands-on subtitle timing and QA, not fully automatic publishing
- ! macOS builds may require extra unsigned-app security steps
- ! Optional online translation, STT, TTS, OCR, or lookup services send data to the selected provider
- ! Whisper speed and accuracy depend on audio quality, model choice, CPU/GPU, and language
Capabilities
- â Voice Cloning
- â Multilingual
- â Real-time
- â Open Source
- â Offline / Local
- â Batch API
Language Quality
Independent assessment â not just "supported languages"
Open Source Signals
GitHub repository metrics for SubtitleEdit/subtitleedit
Pricing
Lock-in Risk
Decide whether it should be your main subtitle tool
Subtitle Edit is strongest when you need editable subtitle files with real timing control. It is a good fit for creators, course teams, subtitlers, and game localization workflows that need SRT, VTT, ASS, SSA, or broadcast-style subtitle files rather than only platform auto-captions.
Use it when subtitle files matter
Choose Subtitle Edit when the output needs to move between YouTube, Premiere, DaVinci Resolve, a game engine, a localization vendor, or an archive. You can generate a first pass with Whisper, adjust timing against the waveform, fix text, translate drafts, and export the format your next tool expects.
Be cautious when you want no-review automation
Subtitle Edit reduces transcription and timing work, but it does not remove the need for QA. Names, technical terms, punctuation, line breaks, bilingual layout, speaker changes, and sensitive phrases still need human review before publication.
Check cost, setup, and rights first
The application is free and open source, but the practical cost is setup time, model downloads, hardware speed, optional translation services, and editorial review.
Treat free as a local workflow, not a hosted service
Windows is usually the smoothest path. macOS and Linux are viable, especially with newer cross-platform builds, but you may need to handle mpv, ffmpeg, unsigned-app warnings, Flatpak, or other packaging details. Long recordings and larger Whisper models can be slow without suitable CPU or GPU capacity.
Keep commercial records with the project
The editor license is not the only rights question. Commercial delivery still depends on your source media, transcript, translation, fonts, style assets, and any third-party STT or translation provider you use. Keep those records with the exported subtitle files.
Manage privacy and portability
Subtitle Edit is attractive for private material because core editing, conversion, playback, and local backup can run on your own device.
Check optional online services before sensitive work
The local app does not need to upload your subtitle or media files for core editing. If you enable online translation, STT, TTS, OCR, dictionary, or lookup features, the selected provider receives the data needed for that request, so client footage and unreleased scripts deserve a separate privacy check.
Archive source files and settings
SRT, VTT, ASS, and related subtitle formats are portable, but reproducibility comes from saving the source media, final exports, Whisper model choice, translation provider, fonts, style settings, and review notes together.
Keep QA in the workflow
The best first workflow is to generate or import a subtitle file, correct timing against the waveform, then review the text while watching the video.
Review timing drift and terminology
Automatic transcription often struggles with names, accents, overlapping speakers, music beds, punctuation, and specialist vocabulary. For long videos, check whether subtitles drift near the end, not only whether the first minute looks good.
Re-evaluate with real material
Do not judge it from a clean demo clip alone. Test one real video from your channel, course, game, or client workflow, measure the manual correction time, and compare that with Descript, WhisperX, or faster-whisper before making it the default.
Alternatives
Recent Changes
- Feature Added
Added Subtitle Edit for open-source subtitle editing, timing, and Whisper transcription workflows
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