Standalone CLI for batch-enhancing lossy audio to FLAC via EchoVault's ONNX model
Project description
echovault-flac-enhancer
Standalone CLI for bulk-enhancing lossy audio (MP3/AAC/OGG/WMA) to FLAC using the same ONNX model EchoVault's desktop app uses, independent of Electron.
Install
pip install echovault-flac-enhancer
Usage
# One-time: download the model and verify everything works
echovault-flac-enhancer --setup
# Check runtime/deps/model status
echovault-flac-enhancer --check
# Enhance a single file
echovault-flac-enhancer --file-name path/to/track.mp3
# Enhance every lossy track in a folder
echovault-flac-enhancer --folder path/to/music [--recursive] [--skip-existing] [--output-dir DIR]
Outputs are written as <original-stem>.enhanced.flac alongside the source
(or under --output-dir, mirroring the source's relative subpath).
The model (~107MB) is cached at:
- Linux/macOS:
~/.cache/echovault-flac-enhancer/model/ - Windows:
%LOCALAPPDATA%\echovault-flac-enhancer\model\
Non-goals (v1)
- No GUI — CLI only.
- No parallel/multi-worker inference (
--workersmust be1). - No mid-batch resume — re-run with
--skip-existingto pick up where a killed batch left off. .m4afiles are not auto-globbed by--folder(ambiguous AAC vs. ALAC codec-in-container — pass an.m4aexplicitly via--file-nameif you're sure it's lossy AAC).
Releasing
Before --setup works for end users, a maintainer must create a GitHub
Release on this repo and upload model.onnx + config.json as release
assets, matching the URL/hashes pinned in
echovault_flac_enhancer/data/manifest.json.
Project details
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refs/heads/main - Owner: https://github.com/EchoVaultHQ
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