youtube-transcript-curator 1.0.0

Curate, organize, and explore YouTube transcripts with AI-powered analysis

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🎬 YouTube Transcript Curator (YTC)

Your Swiss Army CLI for YouTube transcript management. Fetch, list, search, and open your transcript library at lightning speed. ⚡

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🔥 The Problem

Ever watched a 2-hour tutorial and can't remember which minute had that crucial command? Spent hours searching through conference talks for a specific quote? Watched a video last month but can't find it in your history?

YouTube Transcript Curator solves this.

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✨ What Makes It Special

⚡ One Command. One URL. Done. Fetch any YouTube video's transcript and metadata in seconds with a single command. No navigation menus, no waiting—just ytc fetch URL and you're done.

🔍 Search Everything. Instantly. Full-text search across your entire transcript library. Find that exact quote from weeks ago in milliseconds. Use fuzzy --search to jump directly to matching timestamps on YouTube.

📊 Smart Library Right in Your Terminal Filter by type (regular, livestream), sort by views/date/duration/channel. View results in compact, aligned table, or custom template format. All without leaving the terminal.

🎯 Precision Control with Timestamps Open videos at exact timestamps. Jump to the exact moment you need. Combine with search to find content and jump to it instantly on YouTube.

📝 Fully Customizable Output Template-based formatting with color-coded fields and custom placeholders. Make your library look exactly how you want—compact, detailed, or completely custom.

🗂️ Complete Audit Trail Every fetch and deletion is logged. Never wonder if you've already transcribed a video. Check the history anytime.

⌨️ Tab Completion for Ninja Speed All commands, flags, and options are tab-completable. Type ytc list --ali<TAB> and watch it complete. No memorizing syntax—become a transcript ninja with keyboard shortcuts alone.

⚡ Quick Access with --last Flag Work with your most recent video instantly. Use ytc open --last, ytc info --last, or ytc delete --last without remembering the video ID. Perfect for workflows where you're processing videos sequentially.

📝 Rich Video Metadata Display Use --description with ytc info to see full video descriptions. Use --code with ytc open to explicitly open in VS Code. Every detail you need, exactly when you need it.

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🚀 Quick Start

📦 Installation

Option 1: Install with pipx (Recommended)

pipx installs CLI tools in isolated environments - no dependency conflicts, no permission issues:

# Install pipx if you don't have it
brew install pipx  # macOS
# or: sudo apt install pipx  # Ubuntu/Debian

# Install YTC
pipx install youtube-transcript-curator

# Verify installation
ytc help

Option 2: Install with pip

If you prefer pip, use a virtual environment to avoid "externally managed environment" errors:

# Create and activate a venv (recommended)
python3 -m venv ~/.ytc-venv
source ~/.ytc-venv/bin/activate

# Install
pip install youtube-transcript-curator

# Verify
ytc help

Note: On modern systems (macOS Homebrew, Ubuntu 23.04+), installing globally with pip install may fail. Use pipx or a venv instead.

Option 3: Install from Source

# Clone the repository
git clone https://github.com/DolphinDream/youtube-transcript-curator.git
cd youtube-transcript-curator

# Run setup script (creates venv, installs dependencies, sets up tab completion)
chmod +x scripts/setup.sh
./scripts/setup.sh

# Add bin directory to PATH in your shell profile (~/.zshrc or ~/.bash_profile)
# Replace /path/to/repo with your actual cloned repository location
export PATH="/path/to/repo/youtube-transcript-curator/bin:$PATH"

# Reload shell configuration
source ~/.zshrc  # or ~/.bash_profile for bash

🗄️ Configuration

YTC needs to know where to store your transcript library (metadata, transcripts, logs).

PyPI Installation: First time you run ytc, a setup wizard prompts you to choose a storage location:

• Recommended: ~/Documents/YTC-Library (macOS/Windows) or ~/YTC-Library (Linux)
• Custom path of your choice
• Current directory

Repository Installation: Uses the built-in data/output/ directory by default.

Your choice is saved to ~/.ytc/config.yaml:

version: 1
data:
  path: ~/Documents/YTC-Library

You can also override with an environment variable:

export YTC_DATA_PATH=~/my-transcripts

For detailed configuration options: See docs/usage/CONFIG.md

⚡ 30-Second Demo

# Fetch a transcript
ytc fetch "https://youtu.be/dQw4w9WgXcQ"
ytc fetch "https://youtu.be/9-Jl0dxWQs8"

# List your library
ytc list

# Search across all transcripts
ytc search "machine learning"

# Open video at specific timestamp
ytc open 9-Jl0dxWQs8 --youtube --time 22:11

# Get help
ytc help

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🎯 Core Commands

Command	Description
ytc fetch <URL>	Extract transcript and metadata from YouTube video
ytc list	Browse your transcript library with filters and sorting
ytc search <KEYWORD>	Search across all transcripts
ytc open <VIDEO_ID>	Open transcript in editor or video in YouTube
ytc info <VIDEO_ID>	Show detailed information about a video
ytc ai <VIDEO_ID>	AI-powered transcript analysis with Claude
ytc extract <VIDEO_ID>	Extract books, tools, and key points with AI
ytc stats	Display library statistics
ytc delete <VIDEO_ID>	Remove video from library
ytc history	View fetch and deletion history

For detailed guides: See docs/usage/ — particularly AI.md and EXTRACT.md for AI features

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🎪 Key Features in Action

1. 📥 Fetch Transcripts

$ ytc fetch "https://youtu.be/IdPtTBbYOtw"

🎬 YouTube Transcript Curator > fetch
==================================================

📎 Parsing URL...
✓ Video ID: IdPtTBbYOtw

📋 Fetching video metadata...

📺 Video Info:
        Title: VS Code Live - v1.106 Release
     Duration: 1:28:12
        Views: 12,345
      Channel: Visual Studio Code
     Uploaded: 2024-12-05

📝 Fetching transcript...
✓ Retrieved 1,247 transcript segments

💾 Saving to ./data/output
✓ transcripts/youtube_IdPtTBbYOtw.txt
✓ metadata/metadata_IdPtTBbYOtw.json

==================================================
✅ Success!

💡 Quick access:
   ytc info --last
   ytc open --last

2. 🔎 Search Your Library

$ ytc search "robotics"

🎬 YouTube Transcript Curator > search
==================================================

🔍 Search Results

Found 8 matches in 4 videos

📺 How to create Web Dashboards for ROS 2 | COKyFP_VNAs
   The Construct Robotics Institute (4 matches)
      Line 165: [08:24] are a developer you are a robotics
      Line 167: [08:29] your robot might not be robotics
      ...

📺 Monitor Your Robots from the Web with Foxglove | S0dwRNwI050
   The Construct Robotics Institute (2 matches)
      Line 11: [00:48] the booing of Robotics projects we will
      ...

3. 🏷️ Smart Filtering & Sorting

# Sort by views (most popular first)
ytc list --sort views --limit 10

# Filter livestreams, sort by date
ytc list --type livestream --sort published

# Custom format with template
ytc list --format "%i | %t (%v views)"

4. 🎨 Template Formatting

Create custom output formats with placeholders:

# Format: ID | Title : Channel > (Published) | Duration
ytc list --format "%i | %t : %c > ( %p ) | %d"

# Simple format with view counts
ytc list --format "%i: %t (%v views)"

Available placeholders:

• %i / %id - Video ID
• %t / %title - Video title
• %c / %channel - Channel name
• %d / %duration - Video duration
• %p / %published - YouTube upload date
• %v / %views - View count
• %P / %processed - When transcribed
• %T / %type - Video type (Regular, Livestream, etc.)

5. 🤖 AI-Powered Transcript Analysis

Use Claude AI to understand your videos better:

# Generate automatic summary
ytc ai VIDEO_ID --summarize

# Ask specific questions
ytc ai VIDEO_ID --prompt "What are the main takeaways?"

# Summarize your most recent video
ytc ai --last --summarize --length short

# Extract code examples
ytc ai VIDEO_ID --prompt "List all code examples with explanations"

Capabilities:

• Auto-generate summaries (short, medium, or long)
• Ask custom questions about content
• Extract key concepts and patterns
• Works with local Claude CLI (no API costs)
• Perfect for learning, research, and documentation

See docs/usage/AI.md for complete AI documentation and examples.

6. 📚 Extract Books, Tools & Key Points

Extract structured information from videos with AI:

# Extract books and papers mentioned
ytc extract VIDEO_ID --books

# Extract tools, libraries, and frameworks
ytc extract VIDEO_ID --tools

# Extract key insights grouped by importance
ytc extract VIDEO_ID --key-points

# Extract everything at once
ytc extract VIDEO_ID --books --tools --key-points

# Open extracted data
ytc open VIDEO_ID --tools    # Opens tools.md
ytc open VIDEO_ID --books    # Opens books.md

Output formats:

• JSON - Structured data for querying and automation
• Markdown - Human-readable with clickable YouTube timestamps

Example output:

$ ytc extract VIDEO_ID --tools

🛠️ Extracting Tools & Software...
🤖 Analyzing with Claude...

   Found 12 items:
   1. LangChain (framework) - Mentioned at: 0:19
   2. ChromaDB (database) - Mentioned at: 0:19
   3. Docling (app) - Mentioned at: 0:14
   ...

✓ Saved to tools.json + tools.md

See docs/usage/EXTRACT.md for complete extraction documentation.

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📂 Project Structure

youtube-transcript-curator/
├── src/
│   ├── cli/           # Command-line interface
│   ├── core/          # Core business logic
│   │   ├── metadata_fetcher.py
│   │   ├── transcript_fetcher.py
│   │   ├── library_manager.py
│   │   ├── library_logger.py
│   │   └── video_opener.py
│   └── utils/         # Utilities (config, logging, formatting)
├── config/
│   └── settings.yaml  # Application configuration
├── data/output/       # Default library location (repo installs only)
│   ├── metadata/      # Video metadata (JSON)
│   ├── transcripts/   # Raw transcripts
│   └── logs/          # Library change log
├── docs/usage/        # Detailed command documentation
├── scripts/           # Setup and utility scripts
└── tests/             # Unit and integration tests

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💾 Output Files

📋 Metadata JSON

{
  "video_id": "IdPtTBbYOtw",
  "url": "https://youtu.be/IdPtTBbYOtw",
  "title": "VS Code Live - v1.106 Release",
  "channel": "Visual Studio Code",
  "duration": 5292,
  "duration_string": "1:28:12",
  "view_count": 15234,
  "upload_date": "2025-11-01",
  "video_type": "livestream_recording",
  "processed_at": "2025-11-14T15:30:22",
  "transcript_file": "/absolute/path/to/youtube_IdPtTBbYOtw.txt"
}

📄 Raw Transcript

0:00 - Welcome everyone to VS Code Live
0:15 - Today we're releasing version 1.106
1:30 - Let's start with the new features
5:45 - The terminal improvements are huge
...

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🗺️ Roadmap

✅ Complete

• Phases 1-4: Core functionality

  • Transcript extraction with timestamps
  • Video metadata (title, channel, duration, views)
  • Library management (list, filter, sort, delete)
  • Full-text search, history tracking, tab completion

• Phase 5: AI Integration (v0.7.0)

  • Claude CLI integration (ytc ai command)
  • Transcript summarization with length control
  • Custom prompts for Q&A

• Phase 6: Testing & CI/CD (v0.8.0)

  • 458 tests, 72% coverage
  • GitHub Actions workflow
  • PyPI distribution

• Phase 7-8: AI-Processed Data (v0.8.0 - v0.9.0)

  • Auto-save summaries and extractions
  • ytc extract --books --tools --key-points
  • Dual-format output (JSON + Markdown)

🔄 Current (v1.0.0)

• First public release
• Full test coverage (680+ tests, macOS + Linux)
• PyPI distribution ready

🌐 Planned

• API/IPC Mode: Native messaging, HTTP server
• Chrome Extension (YTCx): One-click fetch, library status
• Advanced Features: Tags, collections, export formats
• Cross-Platform: Windows support

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⚙️ Requirements

• Python: 3.10 or higher
• Platform: macOS and Linux (Ubuntu tested)
  • Windows support planned for future releases
• Dependencies: See requirements.txt

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📚 Documentation

Guide	Description
CONFIG.md	Data storage configuration
FETCH.md	Extract transcripts from YouTube
LIST.md	Browse and filter your library
SEARCH.md	Search across all transcripts
OPEN.md	Open files and videos
INFO.md	View video details
AI.md	AI-powered transcript analysis
EXTRACT.md	Extract books, tools, key points
STATS.md	Library statistics
DELETE.md	Remove videos from library
OVERVIEW.md	Complete command reference

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❓ FAQ

Q: What platforms are supported?

A: macOS and Linux (Ubuntu tested). Windows is not currently supported due to bash script dependencies. The --finder flag behaves slightly differently on Linux (opens containing folder instead of highlighting the specific file).

Q: Can I use this for commercial purposes?

A: Yes, the tool is MIT licensed. However, respect YouTube's Terms of Service and use transcripts responsibly.

Q: What if a video doesn't have captions?

A: The tool will fail gracefully and notify you that captions are unavailable. It only works with videos that have auto-generated or manual captions.

Q: Can I contribute?

A: Absolutely! See the Contributing section below.

Q: How do I recover a deleted transcript?

A: Check ytc history --action delete to see what was deleted, then re-fetch the transcript from YouTube using the original URL or video ID.

Q: Does this download the actual video?

A: No. It only fetches the text transcript and metadata. No video files are downloaded.

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🤝 Contributing

Contributions are welcome! Areas where help is appreciated:

• Platform Support: Testing and fixes for Windows
• Documentation: Tutorials, examples, screenshots
• Features: Implement items from the roadmap
• Bug Reports: Report issues you encounter
• Feature Requests: Open an issue with your ideas
• Questions: Start a discussion about usage or development

Guidelines:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Your feedback helps shape the future of YTC!

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📜 License

MIT License - see LICENSE for details.

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🙏 Acknowledgments

• Built with youtube-transcript-api
• CLI powered by Click
• Inspired by the need for better video research tools

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⚙️ Version Info

Item	Value
Version	1.0.0
Last Updated	2025-12-14
Status	First Public Release
Next Phase	Cross-Video Features (v1.1.0)

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☕ Support

If you find YTC useful and want to support continued development:

"I won't get rich from this project, but if you feel generous, every small donation helps keep my AI subscriptions active so I can continue co-authoring awesome tools like this one. Think of it as putting coins in my coding meter!" 🤖💰

❤️ Sponsor on GitHub

Your support is genuinely appreciated! 🙏

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👨‍💻 Author

Marius Giurgi — Developer & Creator

Passionate about building tools that make developers' lives easier. Lover of clean code, thoughtful design, and open-source collaboration.

Connect:

• GitHub: @DolphinDream
• LinkedIn: mariusgiurgi

Interests: Python, CLI tools, video processing, productivity automation, developer experience, robotics, autonomy, AI

Made with ☕ and 💜

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