Metadata-Version: 2.4
Name: transcript-kit
Version: 0.1.1
Summary: AI-powered YouTube transcript processor
Author: Kevin Callens
License: MIT
Project-URL: Homepage, https://github.com/kevincallens/transcript-kit
Project-URL: Repository, https://github.com/kevincallens/transcript-kit
Project-URL: Issues, https://github.com/kevincallens/transcript-kit/issues
Keywords: youtube,transcript,ai,openrouter,subtitles
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Text Processing
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests>=2.28.0
Requires-Dist: urllib3<2.0.0,>=1.26.0
Requires-Dist: click>=8.0.0
Requires-Dist: pyyaml>=6.0
Requires-Dist: platformdirs>=3.0.0
Requires-Dist: yt-dlp>=2023.0.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: black>=22.0.0; extra == "dev"
Requires-Dist: ruff>=0.0.250; extra == "dev"
Dynamic: license-file

# transcript-kit

**AI-powered YouTube transcript processor** - Clean, tag, and organize video transcripts automatically.

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)

**Author:** Kevin Callens

---

## Features

- 🎬 **Download** YouTube subtitles automatically
- 🤖 **AI-powered cleaning** - Fixes speech-to-text errors, creates proper paragraphs
- 🏷️ **Smart tagging** - Automatically tags transcripts with relevant topics
- 📁 **Organized storage** - Clean file naming with dates and tags
- 🔧 **Configurable** - Customize AI model, storage location, and processing options
- 🌍 **Cross-platform** - Works on Linux, macOS, and Windows

---

## Quick Start

### Installation

```bash
pip3 install transcript-kit
```

Or using pipx (recommended):

```bash
pipx install transcript-kit
```

**That's it!** All dependencies (including yt-dlp) install automatically.

### Setup

Run the interactive setup wizard:

```bash
transcript-kit setup
```

This will:
- Prompt for your OpenRouter API key
- Configure AI model preferences
- Set up storage locations
- Optionally add starter tags

### Process a Video

```bash
transcript-kit process "https://www.youtube.com/watch?v=VIDEO_ID"
```

That's it! Your cleaned transcript will be saved to `~/Documents/transcript-kit/`

---

## Requirements

- **Python 3.8+**
- All other dependencies install automatically with `pip3 install transcript-kit`

---

## Configuration

### Getting an API Key

1. Visit [OpenRouter](https://openrouter.ai/keys)
2. Sign up for an account
3. Generate an API key
4. Run `transcript-kit setup` and enter your key

**Note:** transcript-kit uses OpenRouter which provides access to various AI models. Some models are free, others are pay-per-use.

### Configuration File

Config is stored at:
- **Linux/macOS:** `~/.config/transcript-kit/config.yaml`
- **Windows:** `%APPDATA%/transcript-kit/config.yaml`

See `examples/config.yaml.example` for all available options.

### Environment Variables

You can also configure via environment variables:

```bash
export OPENROUTER_API_KEY="your-key-here"
export TRANSCRIPT_KIT_AI_MODEL="openai/gpt-4o-mini"
export TRANSCRIPT_KIT_DATA_DIR="~/Documents/my-transcripts"
```

---

## Usage

### Commands

```bash
# Interactive setup wizard
transcript-kit setup

# Process a YouTube video
transcript-kit process "https://youtube.com/watch?v=xxx"

# Process with custom model
transcript-kit process "URL" --model anthropic/claude-3-haiku

# Process without tagging
transcript-kit process "URL" --no-tag

# Process to custom directory
transcript-kit process "URL" --output ~/custom/path

# Show current configuration
transcript-kit config

# Show configuration with API key visible
transcript-kit config --show-secrets

# Show version
transcript-kit --version

# Get help
transcript-kit --help
```

### Output Format

Transcripts are saved as:

```
YYYY-MM-DD-video-title-[tag1,tag2].txt
```

Example:
```
2025-11-03-how-ai-works-[AI,Education].txt
```

File contents:
```markdown
# How AI Works

**Date**: 2025-11-03
**Tags**: AI, Education
**Context**: This video explains the fundamentals of artificial intelligence...

---

[Cleaned transcript with proper paragraphs and fixed errors...]
```

---

## How It Works

1. **Download** - Uses yt-dlp to fetch YouTube subtitles (.srt format)
2. **Analyze** - AI analyzes the video title and content to understand context
3. **Tag** - Assigns 1-2 relevant tags (reuses existing tags when possible)
4. **Clean** - Processes transcript in chunks to:
   - Fix speech-to-text errors
   - Add proper punctuation
   - Create readable paragraphs
   - Maintain original meaning
5. **Save** - Organized file with metadata and cleaned content

---

## Tag System

### How Tags Work

- Starts with **empty tag database** (or optional starter tags)
- AI assigns **1-2 tags maximum** per transcript
- **Prefers existing tags** to maintain consistency
- **Creates new tags** only when necessary
- All tags saved to `tags-database.txt`

### Example Tag Evolution

```
First video:  [AI]
Second video: [Marketing]
Third video:  [AI, Marketing]  ← Uses existing tags
Fourth video: [Tutorial]       ← Creates new tag when needed
```

---

## Advanced Configuration

### AI Models

Popular models (via OpenRouter):
- `openai/gpt-oss-20b` - Fast, good quality (default)
- `openai/gpt-4o-mini` - Higher quality, moderate cost
- `anthropic/claude-3-haiku` - Fast Claude model

### Processing Options

Edit `~/.config/transcript-kit/config.yaml`:

```yaml
ai:
  chunk_size: 8000          # Words per API call
  max_retries: 3            # Retry attempts on error

processing:
  analyze_context: true     # Context analysis before processing
  auto_tag: true            # Automatic tagging

tags:
  max_tags: 2               # Maximum tags per transcript
  starter_tags: []          # Optional starter tags
```

---

## Troubleshooting

### "yt-dlp not found"

This shouldn't happen since yt-dlp is automatically installed with transcript-kit.

If you see this error, try reinstalling:
```bash
pip3 install --force-reinstall transcript-kit
```

### "API key not configured"

Run the setup wizard:
```bash
transcript-kit setup
```

Or set environment variable:
```bash
export OPENROUTER_API_KEY="your-key-here"
```

### "No subtitles found"

The video may not have auto-generated subtitles. Try a different video or check if subtitles are available on YouTube.

### "Configuration error"

Verify your config file:
```bash
transcript-kit config
```

Re-run setup if needed:
```bash
transcript-kit setup
```

---

## Security

### API Key Protection

- **NEVER** commit your `config.yaml` to git
- Config file permissions are set to `0600` (owner read/write only)
- API keys are never logged or printed
- Use `.env` files for additional security (also gitignored)

### Example Files

Safe to commit:
- ✅ `examples/config.yaml.example`
- ✅ `.env.example`

**NEVER** commit:
- ❌ `~/.config/transcript-kit/config.yaml`
- ❌ `.env`

---

## Development

### Local Installation

```bash
git clone https://github.com/kevincallens/transcript-kit.git
cd transcript-kit
pip3 install -e ".[dev]"
```

### Running Tests

```bash
pytest
```

### Code Formatting

```bash
black src/
ruff check src/
```

---

## Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

---

## License

MIT License - see [LICENSE](LICENSE) file for details

Copyright (c) 2025 Kevin Callens

---

## Acknowledgments

- Uses [yt-dlp](https://github.com/yt-dlp/yt-dlp) for downloading subtitles
- Powered by [OpenRouter](https://openrouter.ai) for AI processing
- Built with [Click](https://click.palletsprojects.com/) for the CLI

---

## Links

- **Repository:** https://github.com/kevincallens/transcript-kit
- **Issues:** https://github.com/kevincallens/transcript-kit/issues
- **OpenRouter:** https://openrouter.ai
