AutoLRC
AutoLRC is a command-line that generates lyric files (.lrc) for your music locally using OpenAI's Whisper model.
Installation
Install AutoLRC with pip
pip install auto-lrc
AutoLRC depends on FFmpeg to be installed
Usage
CLI
AutoLRC --help
Note: the CLI may be slow to start as it has to import big packages.
Options
--music-dir: Path to the directory containing your music files.--model: Whisper model to use for transcription (default:turbo).--device: Device to run the transcription on (cpu,cuda, or default:auto).
Example
AutoLRC --music-dir "M:\Music" --model "large-v3-turbo" --device "cuda"
GPU Support
- Currently GPU support is only available Nvidia GPUs.
- CUDA 12.6 installed. (Other versions may work fine)
Development
AutoLRC is built with UV
- Clone the repository:
git clone https://github.com/HeavyLvy/auto-lrc
- Setup project:
uv sync
1 maintainer
Metadata
1 maintainer
Release files for auto-lrc 3.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| auto_lrc-3.0.0.tar.gz | 1.2 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_lrc-3.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / auto_lrc-3.0.0.tar.gz
| Download URL | auto_lrc-3.0.0.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.0
|
Release files / auto_lrc-3.0.0-py3-none-any.whl
| Download URL | auto_lrc-3.0.0-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
0199e58fef0f7fe1b1b3086d085014442f2e5cf36dccb2996607ba85aeb32025
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.0
|
Security for auto-lrc 3.0.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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