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AmirulAndalib
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openai-whisper

Transcribe audio files to text locally using the Whisper CLI.

Updated Jun 19, 2026
Search Tags:#cli#offline#subtitles#transcription#whisper#audio#speech-to-text
One-click install
npx skills add https://github.com/AmirulAndalib/Vilvona-AI --skill openai-whisper-amirulandalib
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/AmirulAndalib/Vilvona-AI/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/AmirulAndalib/Vilvona-AI --skill openai-whisper-amirulandalib

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-whisper.

What problem does it solve? It converts speech in audio files into written text entirely on your local machine, without sending recordings to a cloud API or requiring an API key. ## Core Features & Use Cases - Local Transcription: Run the whisper CLI on audio files like MP3 or M4A to produce plain text output. - Translation to English: Use the translate task to generate SRT subtitles in English from non-English 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 uploading the recording anywhere. ## 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 to the output directory.

How to translate foreign language audio to English subtitles?▼

Use the translate task with the whisper CLI: whisper /path/audio.m4a --task translate --output_format srt. This generates English SRT subtitle files from non-English speech.

Does OpenAI Whisper require an API key or internet connection?▼

No API key is needed because Whisper runs entirely locally. Internet is only required once to download the model files, which are cached in ~/.cache/whisper for subsequent offline runs.

Which Whisper model size should I use for transcription?▼

Use smaller models for faster transcription and larger models for better accuracy. On this install the default model is turbo, and you can override it with the --model flag, such as --model medium.

Why is the first Whisper transcription run slow?▼

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

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