lyrichroma 0.1.0

Convert audio to video with auto-generated karaoke subtitles

LyriChroma

中文文档

A powerful tool to convert audio files into videos with auto-generated, synchronized, and highlighted subtitles (Karaoke style).

Features

• Auto Transcription: Uses faster-whisper for high-accuracy speech-to-text with word-level timestamps.
• Dynamic Backgrounds: Moving multi-color gradient with selectable palettes (plasma/aurora effects).
• Karaoke Subtitles: Real-time highlighting of spoken words.
• Customizable: Adjust font size, color, highlight color, and position.
• Transcript Editing: Export transcripts to JSON for manual correction, then re-import to generate the perfect video.

Installation

This project is managed with uv.

# Install uv if you haven't (https://github.com/astral-sh/uv)
pip install uv

# Clone and sync dependencies
uv sync

Usage

Basic Usage

Convert audio to video with a black background:

uv run lyrichroma --input audio.mp3 --output video.mp4

Advanced Usage

1. Dynamic Background

Generate a video with a cool moving background:

uv run lyrichroma --input audio.mp3 --output video.mp4 --bg-type dynamic --bg-value aurora

Available palettes: aurora (default), sunset, ocean, cyberpunk, forest.

2. Transcript Editing Workflow

1. Generate transcript JSON (skip video generation):

   uv run lyrichroma --input audio.mp3 --save-transcript transcript.json
   

2. Edit transcript.json manually.
3. Generate video from edited transcript:

   uv run lyrichroma --input audio.mp3 --output video.mp4 --load-transcript transcript.json
   

3. Styling

Customize the subtitle appearance:

uv run lyrichroma \
  --input audio.mp3 \
  --output video.mp4 \
  --font-size 60 \
  --font-color "#FFFFFF" \
  --highlight-color "#FF0000" \
  --text-y 0.8

Arguments

Argument	Description	Default
--input, -i	Input audio file path	Required
--output, -o	Output video file path	Optional
--bg-type	color, image, or dynamic	color
--bg-value	Hex color (#000000), image path, or palette name (aurora, sunset, ocean, cyberpunk, forest)	#000000 or aurora
--model-size	Whisper model size (tiny, base, large-v2, etc.)	base
--save-transcript	Path to save JSON transcript	None
--load-transcript	Path to load JSON transcript	None
--font-size	Subtitle font size	40
--font-color	Text color	white
--highlight-color	Highlight color for active word	yellow
--text-y	Vertical position (0.0=top, 1.0=bottom)	0.8

Testing

Run unit tests:

uv run pytest

Advanced Configuration

Pluggable ASR

Lyrichroma supports a pluggable ASR architecture. By default, it uses faster-whisper. You can implement your own ASR provider by subclassing lyrichroma.asr.base.ASRProvider and passing it to the Transcriber.

Development

1. Install Dependencies: uv sync
2. Run Tests: uv run pytest
3. Format & Lint:

   uv run ruff check .
   uv run black .
   

4. Pre-commit Hooks: Install hooks to automatically check code before committing:

   uv run pre-commit install