返回技能列表

whisper-transcription

guia-matthieu
更新于 17 days ago
8 次查看
121
23
121
在 GitHub 上查看
aidesign

关于

This skill transcribes audio and video files to text using OpenAI's Whisper model. It's ideal for developers needing to generate subtitles, convert podcasts to text, or build searchable audio archives. Key capabilities include extracting quotes from interviews and repurposing multimedia content into written formats.

快速安装

Claude Code

推荐
主要方式
npx skills add guia-matthieu/clawfu-skills -a claude-code
插件命令备选方式
/plugin add https://github.com/guia-matthieu/clawfu-skills
Git 克隆备选方式
git clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/whisper-transcription

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

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 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

Skill Metadata

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

GitHub 仓库

guia-matthieu/clawfu-skills
路径: skills/automation/whisper-transcription
0
ai-skillsanthropicclaude-codeclaude-skillsmarketingmcp-server

相关推荐技能

content-collections

Content Collections 是一个 TypeScript 优先的构建工具,可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计,提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。

查看技能

polymarket

这个Claude Skill为开发者提供完整的Polymarket预测市场开发支持,涵盖API调用、交易执行和市场数据分析。关键特性包括实时WebSocket数据流,可监控实时交易、订单和市场动态。开发者可用它构建预测市场应用、实施交易策略并集成实时市场预测功能。

查看技能

creating-opencode-plugins

该Skill帮助开发者创建OpenCode插件,用于接入命令、文件、LSP等25+种事件。它提供了插件结构、事件API规范和JavaScript/TypeScript实现模式,适合需要拦截操作、扩展功能或自定义事件处理的场景。开发者可通过它快速构建响应式模块来增强OpenCode AI助手的能力。

查看技能

sglang

SGLang是一个专为LLM设计的高性能推理框架,特别适用于需要结构化输出的场景。它通过RadixAttention前缀缓存技术,在处理JSON、正则表达式、工具调用等具有重复前缀的复杂工作流时,能实现极速生成。如果你正在构建智能体或多轮对话系统,并追求远超vLLM的推理性能,SGLang是理想选择。

查看技能