Music identification is in pre-release with limited partner access. Contact info@audioshake.ai to request access.
music_identification model analyzes audio or video content to determine when music is present and whether that music can be identified. It is designed for short-form content, automated highlights, and cue sheet workflows, with a focus on copyright compliance and music clearance.
What the model provides
- Time-aligned detection of music within media
- Identification of recognizable music when possible
- A single, structured JSON output for review, export, and integration
Create a Task
Example response
Event fields
| Field | Description |
|---|---|
start_time_s | Start time of the event (seconds) |
end_time_s | End time of the event (seconds) |
music_detected | Whether music is present |
music_identified | Whether the music was identified |
detection_confidence | Confidence score for music detection |
identification_confidence | Confidence score for identification (when available) |
title | Track title (if identified) |
artists | Performing artist(s) |
album | Album name |
label | Record label |
release_date | Release date |
isrc | ISRC code |
Use cases
- Verify whether music appears in media
- Understand when music occurs and for how long
- Support music clearance and publishing decisions
- Automate cue sheet generation for broadcast