Audio-based (Acoustic Fingerprint / AI) Track Recognition & Auto-Tagging (like Shazam / Google Sound Search)
Currently, Find Tags relies on text matching, which often fails if file names or ID3 tags are missing or messy (leading to empty Genre/Sub-genre fields).
It would be amazing to have an audio-based recognition engine (like Shazam, Google Sound Search, or ACRCloud) built into "Find Tags."
Instead of guessing from file names, it would listen to the audio waveform to identify the track and pull accurate genres, artists, and titles automatically.
Would love to see this on the roadmap!