Whisper Transcription

Community

guia-matthieu

whisper-transcription

Transcribe audio and video files to text using OpenAI Whisper. Use when: converting podcasts to blog posts; creating video subtitles; extracting quotes from interviews; repurposing video content to text; building searchable audio archives

Overview

Publisher	guia-matthieu
Repository	`clawfu-skills`
Skill name	`whisper-transcription`
Stars	150
Forks	27
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by guia-matthieu on GitHub. Read the source before you install it.

Installation

Install the Whisper Transcription AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git /tmp/clawfu-skills
mkdir -p .claude/skills
cp -r /tmp/clawfu-skills/skills/automation/whisper-transcription .claude/skills/whisper-transcription

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Whisper Transcription in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Whisper Transcription on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Whisper Transcription is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Whisper Transcription

Transcribe any audio or video to text using OpenAI's Whisper model - the same technology powering ChatGPT voice features.

When to Use This Skill

Podcast repurposing - Convert episodes to blog posts, show notes, social snippets
Video subtitles - Generate SRT/VTT files for YouTube, social media
Interview extraction - Pull quotes and insights from recorded calls
Content audit - Make audio/video libraries searchable
Translation - Transcribe and translate foreign language content

What Claude Does vs What You Decide

Claude Does	You Decide
Structures production workflow	Final creative direction
Suggests technical approaches	Equipment and tool choices
Creates templates and checklists	Quality standards
Identifies best practices	Brand/voice decisions
Generates script outlines	Final script approval

Dependencies

bash
pip install openai-whisper torch ffmpeg-python click
# Also requires ffmpeg installed on system
# macOS: brew install ffmpeg
# Ubuntu: sudo apt install ffmpeg

Commands

Transcribe Single File

bash
python scripts/main.py transcribe audio.mp3 --model medium --output transcript.txt
python scripts/main.py transcribe video.mp4 --format srt --output subtitles.srt

Batch Transcription

bash
python scripts/main.py batch ./recordings/ --format txt --output ./transcripts/

Transcribe + Translate

bash
python scripts/main.py translate foreign-audio.mp3 --to en

Extract Timestamps

bash
python scripts/main.py timestamps podcast.mp3 --format json

Examples

Example 1: Podcast to Blog Post

bash
# Transcribe 1-hour podcast
python scripts/main.py transcribe episode-42.mp3 --model medium

# Output: episode-42.txt (full transcript with timestamps)
# Processing time: ~5 min for 1 hour audio on M1 Mac

Example 2: YouTube Subtitles

bash
# Generate SRT for video upload
python scripts/main.py transcribe marketing-video.mp4 --format srt

# Output: marketing-video.srt
# Upload directly to YouTube/Vimeo

Example 3: Batch Process Interview Library

bash
# Transcribe all recordings in folder
python scripts/main.py batch ./customer-interviews/ --model small --format txt

# Output: ./customer-interviews/*.txt (one per audio file)

Model Selection Guide

Model	Speed	Accuracy	VRAM	Best For
`tiny`	Fastest	~70%	1GB	Quick drafts, short clips
`base`	Fast	~80%	1GB	Social media clips
`small`	Medium	~85%	2GB	Podcasts, interviews
`medium`	Slow	~90%	5GB	Professional transcripts
`large`	Slowest	~95%	10GB	Critical accuracy needs

Recommendation: Start with small for most marketing content. Use medium for client deliverables.

Output Formats

Format	Extension	Use Case
`txt`	.txt	Blog posts, analysis
`srt`	.srt	Video subtitles (YouTube)
`vtt`	.vtt	Web video subtitles
`json`	.json	Programmatic access
`tsv`	.tsv	Spreadsheet analysis

Performance Tips

GPU acceleration - 10x faster with CUDA GPU
Audio extraction - Script auto-extracts audio from video
Chunking - Long files auto-split for memory efficiency
Language detection - Automatic, or specify with --language

Skill Boundaries

What This Skill Does Well

Structuring audio production workflows
Providing technical guidance
Creating quality checklists
Suggesting creative approaches

What This Skill Cannot Do

Replace audio engineering expertise
Make subjective creative decisions
Access or edit audio files directly
Guarantee commercial success

Related Skills

video-processing - Extract audio from video
youtube-downloader - Download videos to transcribe
content-repurposer - Transform transcripts to content
podcast-production - Create podcasts

Skill Metadata

Mode: cyborg

yaml
category: automation
subcategory: audio-processing
dependencies: [openai-whisper, torch, ffmpeg-python]
difficulty: beginner
time_saved: 10+ hours/week

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/main.py10 KB
scripts/requirements.txt1 KB

Frequently asked questions

What does the Whisper Transcription AI skill do?

Why use Whisper Transcription on TypingMind?

Because you install it once and use it with any model. Whisper Transcription is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Whisper Transcription in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/whisper-transcription. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Whisper Transcription?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Whisper Transcription?

As many as you like. As long as a model supports skills, you can use Whisper Transcription with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Whisper Transcription AI skill free?

Yes. It is published on GitHub by guia-matthieu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Whisper Transcription

When to Use This Skill

What Claude Does vs What You Decide

Dependencies

Commands

Transcribe Single File

Batch Transcription

Transcribe + Translate

Extract Timestamps

Examples

Example 1: Podcast to Blog Post

Example 2: YouTube Subtitles

Example 3: Batch Process Interview Library

Model Selection Guide

Output Formats

Performance Tips

Skill Boundaries

What This Skill Does Well

What This Skill Cannot Do

Related Skills

Skill Metadata

Bundled files

Frequently asked questions

Related AI Skills

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