openai-whisper
Comprehensive audio transcription and translation toolkit using OpenAI Whisper. Use when working with audio files (.mp3, .wav, .m4a, .flac, etc.) for: (1) Transcribing speech to text in 99 languages, (2) Translating non-English audio to English, (3) Detecting language of audio, (4) Generating subtitles (SRT, VTT), (5) Extracting timestamps, (6) Processing long recordings, (7) Batch transcription of multiple files, or (8) Building applications that require automatic speech recognition (ASR). Also use when users mention 'Whisper', 'transcribe audio', 'speech-to-text', 'audio to text', 'generate subtitles', or 'meeting transcription'.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
Comprehensive audio transcription and translation toolkit using OpenAI Whisper. Use when working with audio files (.mp3, .wav, .m4a, .flac, etc.) for: (1) Transcribing speech to text in 99 languages, (2) Translating non-English audio to English, (3) Detecting language of audio, (4) Generating subtitles (SRT, VTT), (5) Extracting timestamps, (6) Processing long recordings, (7) Batch transcription of multiple files, or (8) Building applications that require automatic speech recognition (ASR). Also use when users mention 'Whisper', 'transcribe audio', 'speech-to-text', 'audio to text', 'generate subtitles', or 'meeting transcription'.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
GitHub ↗chat Comments (0)
Sign in to join the discussion and leave a comment.
No comments yet. Be the first to share your thoughts!