Auto Music Tagger

by Jacob McSwain

Auto Music Tagger is an automated music tagging software that automatically tags music files with metadata such as artist, genre, and album information.

Operating system: Windows

Publisher: Jacob McSwain

Antivirus check: passed

Last revision: Last week

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Auto Music Tagger is a powerful software tool for automatically organizing and tagging digital music collections. It uses advanced algorithms and machine learning techniques to accurately identify and tag tracks based on their audio characteristics. With Auto Music Tagger, users can quickly and easily organize their music libraries by artist name, album title, release year, genre, and more.

Auto Music Tagger makes it easy to keep your music library organized and up-to-date. It automatically identifies and tags tracks based on their audio characteristics, including tempo, key, and timbre. It also provides powerful tools for manual tagging and editing, such as the ability to search and add tags, create and edit playlists, and manage track metadata.

The Automatic Music Tagger allows users to quickly and accurately tag music files with artist, album, and track information.

• Automatically organize and tag digital music collections
• Accurately identify and tag tracks based on audio characteristics
• Batch tagging of multiple tracks
• Powerful manual tagging and editing tools
• Search and add tags
• Create and edit playlists
• Manage track metadata
• Generate automatic playlists
• Support for popular music formats
• Integrate with other audio software
• Automatically download album artwork
• Tag multiple files at once
• One-click tagging
• Automatically identify duplicates
• Compatible with Windows, Mac, and Linux
• Intuitive user interface
• Regular updates and bug fixes

Auto Music Tagger is the perfect solution for users who want to quickly and easily organize and tag their digital music collections. It is easy to use and provides powerful tools for manual tagging and editing. With Auto Music Tagger, you can keep your music library organized and up-to-date in no time.
1. Operating System: The software should be compatible with all major operating systems, including Windows, MacOS, and Linux.

2. File Types: The software should support a variety of music file types, such as .mp3, .wav, .aiff, .flac, .m4a, and .wma.

3. Tag Support: The software should be able to read and write ID3 tags (v1 and v2) and other popular tags, such as APE tags and Vorbis comments.

4. Audio Format Support: The software should be able to process lossless and lossy audio formats, such as MP3, WAV, AIFF, FLAC, M4A, and WMA.

5. Metadata Support: The software should be able to access online databases to search for and retrieve album information such as artist, album title, track titles, genre, and release year.

6. User Interface: The software should have an intuitive user interface that makes it easy to locate and edit tags.

7. Automation: The software should have the ability to automatically recognize and tag albums based on the music files.
image/svg+xmlBotttsPablo Stanley Körner
Brodie Jengo

Auto Music Tagger was able to accurately identify and tag songs in my music library. It was quick and easy to use, and it allowed me to quickly add missing tags to my existing music collection. It was also able to fill in the artwork associated with each song. The search function was also useful for finding specific tracks. In general, it was a great tool for organizing my music library. It was reliable and efficient, making the task of tagging my music library a breeze. I found it to be an invaluable tool for managing my music library.
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