Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install whisper-transcribeOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install whisper-transcribeβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/whisper-transcribe/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativeWhat Whisper Transcribe can do for your AI workflow
Transcribe audio files to text directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,336+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Whisper Transcribe
Help me get started with Whisper Transcribe
Explains what Whisper Transcribe does, walks through the setup, and runs a quick demo based on your current project
Use Whisper Transcribe to transcribe audio files to text using OpenAI Whisper
Invokes Whisper Transcribe with the right parameters and returns the result directly in the conversation
What can I do with Whisper Transcribe in my design & creative workflow?
Lists the top use cases for Whisper Transcribe, with example commands for each scenario
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Whisper Transcribe extends your AI assistant with the ability to transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Whisper Transcribe as its underlying capability.
Whisper Transcribe works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Whisper Transcribe once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Whisper Transcribe, copy the skill folder to `~/.claude/skills/whisper-transcribe/` for use across all your projects, or `.claude/skills/whisper-transcribe/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/whisper-transcribe` or just describe your goal and the AI will pick it up automatically.
Whisper Transcribe has been installed 1,336 times, making it one of the more actively used skills in the Design & Creative category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/whisper-transcribe/ for personal use (all projects), or .claude/skills/whisper-transcribe/ for project-specific use. Restart your AI client, then invoke with /whisper-transcribe or let the AI discover it automatically.
Whisper Transcribe supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Whisper Transcribe is free to install. Check the repository for licensing information.
Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.
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Whisper Transcribe is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.