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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'.

yharuto0917☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill 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 ↗

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