cat ~/projects/tafrigh.md
Tafrigh
Transcribe Arabic audio and generate SRT and VTT subtitles.
A transcription tool that turns Arabic audio into text and timed subtitle files using Whisper models and wit.ai. Widely used for making Arabic lectures and books searchable.
- Role
- Contributor
- Year
- 2026
- Status
- Live
- type
- AI
- Built with
- PythonWhisperwit.aiSRT / VTT
- Where to find it
- Visit the siteSource
head -n 40 overview
What it is
Arabic speech is under-served by transcription tooling, and the material that most needs it, lectures, lessons, recorded books, is exactly the material nobody has budget to transcribe by hand.
Tafrigh produces both plain text and timed subtitle files, which is what makes the output useful for search rather than just for reading. It is the same capability that Kashaf Abi Ja'far depends on.
diff before after
Challenges
A line taken out, a line put in. The problem first, then what actually replaced it.
Timed output is what makes a transcript searchable
A wall of transcribed text tells you a phrase was said but not where, which leaves the listener scrubbing through the recording anyway.
Output includes SRT and VTT with segment timings, so downstream tools can index the text and still link back to the exact moment in the audio.
tail outcomes
Results
- Plain text plus timed SRT/VTT output for Arabic audio.
Keep readingتابع القراءة
openaoun
Next projectAounA free academic platform for Jordanian university students.