skills.rest
caoronglin
caoronglinCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

openai-whisper

Transcribe local audio files to text using the OpenAI Whisper model.

2|Updated Mar 10, 2026
Search Tags:#subtitles#transcription#whisper#audio processing#local#speech to text
One-click install
npx skills add https://github.com/caoronglin/copaw-skills --skill openai-whisper-caoronglin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/caoronglin/copaw-skills/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/caoronglin/copaw-skills --skill openai-whisper-caoronglin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows you to transcribe audio files into text directly on your local machine, eliminating the need for cloud-based APIs and associated costs or privacy concerns.

Core Features & Use Cases

  • Local Transcription: Utilizes the OpenAI Whisper model for accurate speech-to-text conversion without internet access.
  • Multiple Formats: Supports various audio input formats and can output text in plain text, SRT, VTT, and JSON.
  • Use Case: Transcribe a lengthy meeting recording or a podcast episode into a text document for easy searching, editing, or generating subtitles.

Quick Start

Transcribe the audio file 'meeting.mp3' into a text file using 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 audio to text locally without cloud APIs?▼

Local transcription requires the 'whisper' executable to be installed and available in your system's PATH. Once configured, the Skill can process audio files directly on your machine without needing internet access or cloud-based APIs.

Can I generate SRT subtitles from an audio file?▼

Generating SRT subtitles is fully supported alongside plain text, VTT, and JSON formats. You can convert meeting recordings or podcast audio tracks into these formats for searching, editing, or generating subtitles.

Do I need the whisper executable installed to run local speech to text?▼

Yes, the 'whisper' executable must be installed and available in your system's PATH to run local speech to text. This setup allows the Skill to utilize the OpenAI Whisper model for offline transcription without internet access.

What is the best way to convert meeting recordings into text documents?▼

Converting meeting recordings into text is handled by transcribing the audio locally with the OpenAI Whisper model. You can process lengthy recordings into searchable plain text, SRT, VTT, or JSON documents.

Does local transcription work offline for processing video audio tracks?▼

Yes, local transcription works offline for processing video audio tracks using the OpenAI Whisper model. It converts speech to text without internet access, outputting plain text, SRT, VTT, or JSON formats for content analysis and accessibility.

Related Skills

Explore More Content & Communication Skills→
linuxhsjlinuxhsj
5.1k

openai-whisper

Transcribe and translate audio files locally using the Whisper CLI.

Community
Basic
ricoismericoisme

srt-to-vtt

Convert SRT subtitle files to VTT format with encoding and language detection.

Community
Basic
hammadparveezhammadparveez

openai-whisper

Transcribe and translate local audio files using the Whisper CLI.

Community
Basic
breakingcircuits1337breakingcircuits1337

openai-whisper

Transcribe audio files to text locally using the Whisper CLI.

Community
Basic