whisper-transcription
23
总安装量
23
周安装量
#16185
全站排名
安装命令
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill whisper-transcription
Agent 安装分布
opencode
19
gemini-cli
19
cursor
18
codex
17
github-copilot
16
amp
15
Skill 文档
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
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
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
python scripts/main.py batch ./recordings/ --format txt --output ./transcripts/
Transcribe + Translate
python scripts/main.py translate foreign-audio.mp3 --to en
Extract Timestamps
python scripts/main.py timestamps podcast.mp3 --format json
Examples
Example 1: Podcast to Blog Post
# 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
# 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
# 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
category: automation
subcategory: audio-processing
dependencies: [openai-whisper, torch, ffmpeg-python]
difficulty: beginner
time_saved: 10+ hours/week