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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

Use this skillView repositoryView on skills.sh
Specification
Skill ID
guia-matthieu/clawfu-skills/whisper-transcription
Publisher
guia-matthieu
Repository
clawfu-skills
Installs
0
Files
3
License
MIT
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

guia-matthieu/clawfu-skills/whisper-transcriptionInstalls these files
  • SKILL.md
  • scripts/main.py
  • scripts/requirements.txt

What this skill tells the agent

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 DoesYou Decide
Structures production workflowFinal creative direction
Suggests technical approachesEquipment and tool choices
Creates templates and checklistsQuality standards
Identifies best practicesBrand/voice decisions
Generates script outlinesFinal 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

ModelSpeedAccuracyVRAMBest For
tinyFastest~70%1GBQuick drafts, short clips
baseFast~80%1GBSocial media clips
smallMedium~85%2GBPodcasts, interviews
mediumSlow~90%5GBProfessional transcripts
largeSlowest~95%10GBCritical accuracy needs

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

Output Formats

FormatExtensionUse Case
txt.txtBlog posts, analysis
srt.srtVideo subtitles (YouTube)
vtt.vttWeb video subtitles
json.jsonProgrammatic access
tsv.tsvSpreadsheet analysis

Performance Tips

  1. GPU acceleration - 10x faster with CUDA GPU
  2. Audio extraction - Script auto-extracts audio from video
  3. Chunking - Long files auto-split for memory efficiency
  4. 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

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Use this skill in a project

Open any RiverX project, search the Skills panel for guia-matthieu/clawfu-skills/whisper-transcription, and install it in one click.

Use this skill