Friendly command-line music-metadata editor and Python library
Project description
mudio
mudio is a powerful, friendly command-line music metadata editor and Python library. It provides a unified API for handling metadata across MP3, FLAC, M4A, and more, making batch processing and automation simple and safe.
- For full command details, see the CLI Reference.
- For code API details, see the API Reference.
Features
- Unified API: Write code once, run it on MP3, FLAC, M4A, WAV, OGG, OPUS, and WavPack.
- Batch Processing: robust CLI for processing thousands of files.
- Parallel Execution: Automatically uses multi-threading for large batches.
- Safety First: Built-in backup system, dry-run mode, and careful validation.
- Powerful Operations:
- Find & Replace: Regex-supported search and replace in tags.
- Mass Edits: Set, overwrite, append, prefix, or clear tags.
- Filtering: Apply changes only to files matching specific criteria (e.g.
artist="The Beatles").
Supported Formats
- MP3 (
.mp3) - ID3v2.3/v2.4 - FLAC (
.flac) - Vorbis Comments - M4A / MP4 (
.m4a,.mp4) - MP4 Tags - Ogg Vorbis (
.ogg) - Opus (
.opus) - WAV (
.wav)
Installation
pip install mudio
CLI Usage
mudio is designed for efficient batch operations.
Basic Commands
# View metadata (truncated if long)
mudio song.mp3 --operation print
# Set Album
mudio *.mp3 --operation write --fields album --value "New Album"
# Overwrite Title
mudio song.flac --operation write --fields title --value "My Song"
Advanced Batch Operations
# Regex Find & Replace (Fix features)
# Changes "feat." -> "ft." in title and artist
mudio /music --recursive \
--operation find-replace --find "feat\." --replace "ft." --regex \
--fields title,artist
# Append to Comment
mudio *.m4a --operation append --fields comment --value " [Remastered]"
# Filtered Processing
# Only add "Rock" genre to tracks by "Led Zeppelin"
mudio /library --recursive \
--filter "artist=Led Zeppelin" \
--operation write --fields genre --value "Rock"
Safety Features
# Dry Run (See what would happen without modifying files)
mudio *.mp3 --operation write --fields album --value "Test" --dry-run
# Create Backups (Kept by default in ./backups/)
mudio *.flac --operation clear --fields comment --backup ./backups
# Delete backups after successful operation (to save space)
mudio *.mp3 --operation write --fields album --value "New" --backup ./backups --delete-backups
Python Library Usage
mudio provides a Pythonic wrapper around mutagen for scripts and tools.
from mudio import SimpleMusic
# Reading metadata (extended mode by default - includes custom fields)
with SimpleMusic("song.flac") as sm:
fields = sm.read_fields() # Default: schema='extended'
print(fields)
# {'artist': ['The Band'], 'title': ['The Song'], ...}
# Read with different schemas
with SimpleMusic("song.mp3") as sm:
canonical = sm.read_fields(schema='canonical') # Only standard fields
raw = sm.read_fields(schema='raw') # Format-specific keys (TIT2, TPE1, etc.)
extended = sm.read_fields(schema='extended') # Standard + custom fields
# Writing
with SimpleMusic("song.mp3") as sm:
sm.write_fields({
'title': ['New Title'],
'genre': ['Pop', 'Rock'] # Multi-value support
})
# Error handling is managed by the context manager
Environment Variables
You can configure mudio's default behavior using environment variables:
MUDIO_SCHEMA: Set default schema for reading metadata (canonical,extended, orraw). Default:extended.MUDIO_MAX_WORKERS: Default thread count for parallel processing.MUDIO_BACKUP_DIR: Default backup location.MUDIO_VERBOSE: Default verbosity (0or1).MUDIO_NAMESPACE: Namespace for custom MP4/M4A fields (default:com.apple.iTunes). Setting this to something else (e.g.org.myproject) allows isolating your custom tags.
# Example: Use extended schema by default (canonical + custom fields)
export MUDIO_SCHEMA=extended
python your_script.py
Behavior Notes
Canonical Field Handling (All Formats)
mudio normalizes metadata to a case-insensitive canonical schema and applies consistent frame/value rules across formats.
Reading
- Canonical keys: Raw tags that differ only by case or alias are merged into one canonical field (e.g.,
GENRE,genre→genre; ReplayGain variants collapse). - Frame-level deduplication: If multiple frames for a canonical field contain the same ordered list of values (after normalization), only the first is kept.
- Intra-frame duplicates: Duplicates within a single frame are preserved.
- Distinct frames: Frames with different value sequences are preserved and flattened in first-seen order.
- Unknown fields: Unrecognized keys are normalized (lowercase) and preserved.
- Key Sanitization:
- Reading: Keys are sanitized to small snake case (
[a-z0-9_]). Non-alphanumeric characters are replaced with_. - Writing: Custom keys are sanitized to caps snake case (
[A-Z0-9_]). Non-alphanumeric characters are replaced with_. - Alternative Casing:
mudiodrops alternative casing for custom fields to prevent duplicates (e.g.,MyFieldandmyfieldare treated as the same field).
- Reading: Keys are sanitized to small snake case (
Writing
- Canonical-only state: Input keys are normalized and merged before write.
- Single emission per field: Each canonical field is written once via the format-specific emitter (e.g., ID3 frames, Vorbis comments, MP4 atoms). Aliases are not written.
- Value collapse: All values for a canonical field are emitted according to the target format’s conventions (including required frames/atoms), without duplicating equivalent aliases.
- Deterministic output: Ordering reflects first occurrence after merge and deduplication.
This ensures consistent behavior across file types while preventing casing/alias duplicates.
Comparison with Alternatives
vs. Mutagen
- Mutagen is the low-level library that
mudiouses. It is powerful but requires learning different APIs for ID3, Vorbis, and MP4 tags. - mudio abstracts these differences. Use
mudioif you want a simple, unified API (e.g.sm.write_fields({'title': ...})works on everything). Usemutagenif you need byte-level control or support for obscure frame types.
vs. music_tag
- music_tag is a library primarily for Python scripts, offering a dictionary-like interface. It is excellent for simple script usage.
- mudio offers similar library features but includes a robust CLI for batch processing, filtering, and safety operations (backups, dry-runs) out of the box.
vs. Beets
- Beets is a complete library manager with a centralized database, autotagger, and plugin system. It implies a workflow where it "owns" your library.
- mudio is a stateless tool. It modifies files directly without a database. Use
mudiofor quick fixes, batch scripting, or if you prefer managing your file structure manually.
vs. Picard
- MusicBrainz Picard is a GUI application focused on matching files to the MusicBrainz database.
- mudio is a CLI/Library tool. It's better for automation, headless servers, or mass-editing tags based on patterns rather than database matching.
vs. EyeD3
- EyeD3 is excellent but specific to MP3/ID3.
- mudio supports FLAC, M4A, OGG, and more with the same commands.
Development
# Install dependencies
pip install -e ".[dev]"
# Run tests
pytest
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mudio-3.0.0.tar.gz.
File metadata
- Download URL: mudio-3.0.0.tar.gz
- Upload date:
- Size: 45.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
356c9634435fd13a90b6698de137ad70a41e6cc9bd602eb9d4acd028e686864a
|
|
| MD5 |
02762b856e27bba2e2db83459659b7f3
|
|
| BLAKE2b-256 |
e45898d80c360ceadf92a8df76b5a94976502ea633de71061170cdb2c737ca69
|
File details
Details for the file mudio-3.0.0-py3-none-any.whl.
File metadata
- Download URL: mudio-3.0.0-py3-none-any.whl
- Upload date:
- Size: 41.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f4dbc15d3c942bb29566faf711d7cfc5e56cae364f4f226fbb6f647616fd4dac
|
|
| MD5 |
9c28500bbaa91163c704fbf612db4c9a
|
|
| BLAKE2b-256 |
c081a17e6045f1440c30be324c78e18f086359b689ccec828ea075e0ad244ce3
|