# Transcribe Srt

> Transcribes SRT formatted subtitles given a video or audio content file. Use when you want subtitles for a file that doesn't have any.

- Skill: `majiayu000/transcribe-srt` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/transcribe-srt`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/transcribe-srt/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/transcribe-srt

---


# Transcribe SRT

## Dependencies

This skill depends on having `whisper-cli` available in your `$PATH`. It may also depend on `ffmpeg` being available if the input file isn't directly processable by `whisper-cli`. Finally, we will depend on `python` or `python3` being available to execute the script `wsp2srt.py` as a part of this skill.

## Instructions

If the input file type is not processable by `whisper-cli` then first call `ffmpeg -i "{INPUT FILE}" "{INPUT FILE}.wav"`. This will output a .wav file that `whisper-cli` can understand.

Then call `whisper-cli -m ~/whisper.cpp/models/ggml-large-v3-turbo.bin -vm ~/whisper.cpp/models/ggml-silero-v6.2.0.bin -f "{INPUT FILE}.wav" > almost_srt.txt`. If you think the input file is mostly spoken in a language other than English, then add `-l {language}` to the command.

Finally, call `python wsp2srt.py almost_srt.txt "{INPUT FILE}.srt"` to save the SRT subtitles to a file that is similarly named as the input.

## Examples

```
Can you transcribe subtitles for Videos/my_awesome_video.webm
```

Then call
```
ffmpeg -i "Videos/my_awesome_video.webm" "Videos/my_awesome_video.wav"
whisper-cli -m large-v3-turbo -vm silero-v6.2.0 -f "Videos/my_awesome_video.wav" > almost_srt.txt
python wsp2srt.py almost_srt.txt "Videos/my_awesome_video.srt"
```