Metadata Engine — AI music metadata, tagging & analysis
Metadata Engine turns a raw audio file into professional, distribution-ready metadata. It measures the signal (BPM, key, loudness, spectral profile), runs a multi-model AI classification that must reach consensus before a tag is accepted, identifies the recording against public databases, and exports in the formats DSPs and PROs accept — DDEX ERN 4.3, CWR 2.1, MP3Tag CSV and JSON. Every analysed track can also get a Certificate of Authenticity pinned to IPFS.
What you get from one analysis
- BPM, key/mode, LUFS loudness, energy and spectral profile from DSP measurement
- Genre, sub-genres, moods, instrumentation and vocal style — each with a confidence score
- A written, marketing-ready track description
- Identification via ACRCloud, AcoustID and MusicBrainz
- Catalogue enrichment from Spotify, Last.fm and Discogs
- Exports: DDEX ERN 4.3, CWR 2.1, MP3Tag CSV, JSON
- SHA-256 Authenticity DNA and an IPFS-pinned Certificate of Authenticity
- Batch processing for whole albums and back catalogues
Who it's for
Independent artists and producers preparing releases, labels auditing a back catalogue, distributors verifying incoming metadata, and sync / production-music libraries that need granular mood and instrumentation tagging.
FAQ
How much does it cost?
One-time credit packs, no subscription. 1 credit = 1 full analysis; exports are free. New accounts get 3 free credits. Starter 10/$9, Producer 50/$35, Label 150/$89, Studio 400/$199.
What formats are supported?
MP3, WAV, FLAC and AIFF, up to ~100 MB per file.
Is my audio stored?
No — uploaded audio is discarded promptly after analysis; only the resulting metadata (and your saved history) is kept.
Open the app · Operated by HardbanRecords Lab (Poland, EU) · contact@hardbanrecordslab.online