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JEROME-PRAKASH-L
JEROME-PRAKASH-LCOMMUNITY
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openai-whisper

Transcribe audio files to text locally using the Whisper CLI.

1|Updated Jun 9, 2026
Search Tags:#cli#offline#subtitles#transcription#whisper#audio#speech-to-text
One-click install
npx skills add https://github.com/JEROME-PRAKASH-L/openclaw --skill openai-whisper-jerome-prakash-l
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/JEROME-PRAKASH-L/openclaw/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/JEROME-PRAKASH-L/openclaw --skill openai-whisper-jerome-prakash-l

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Converting audio recordings into text usually requires uploading files to a cloud API, which raises privacy concerns and recurring costs. This Skill runs OpenAI's Whisper model locally through its CLI, so speech-to-text works offline with no API key. ## Core Features & Use Cases - Local Transcription: Convert audio files like MP3 and M4A into plain text using the whisper command. - Translation & Subtitles: Use the translate task and SRT output format to generate translated subtitles from foreign-language audio. - Model Size Control: Choose smaller models for speed or larger models for accuracy, with models cached in ~/.cache/whisper after first download. - Use Case: Record a meeting as an M4A file, then transcribe it locally into a text file for notes without sending the audio to any external service. ## Quick Start Transcribe the attached audio file meeting.mp3 to a text file using the whisper CLI with the medium model.

Frequently Asked Questions about openai-whisper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe an audio file with Whisper CLI?▼

Run whisper followed by the audio file path, for example: whisper /path/audio.mp3 --model medium --output_format txt --output_dir . The transcript is written as a text file in the output directory you specify.

Does OpenAI Whisper require an API key?▼

No, the Whisper CLI runs entirely locally on your machine and does not need an API key. Models are downloaded once to ~/.cache/whisper and reused for subsequent transcriptions.

Which Whisper model should I use for transcription?▼

Use smaller models for faster transcription and larger models for better accuracy. On this install the --model flag defaults to turbo, and you can override it with options like medium.

Can Whisper translate audio and create subtitles?▼

Yes, pass --task translate to translate speech into English and --output_format srt to generate subtitle files, for example: whisper audio.m4a --task translate --output_format srt.

Why is the first Whisper transcription slow?▼

The first run downloads the selected model to ~/.cache/whisper, which takes time depending on model size. Later runs reuse the cached model and start transcribing immediately.

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