# AudD (audd.io)

Identifies songs in audio files and live streams by matching neural-network fingerprints against a 160-million-song database.

- Atlas card: https://inite.ai/en/atlas/audd.io
- Site: https://audd.io
- For: Music distributors, labels, video platforms and AI startups checking uploaded audio for copyrighted music
- Use 0/100 · alive 100/100

## Used for

- Identify songs playing on radio stations in real time
- Check uploaded videos for copyrighted music
- Recognize songs in long DJ mixes

## Price

- from 5 USD/month, no free plan (read 2026-10-19 on https://audd.io/pricing/)

## For developers

- OpenAPI: https://audd.io/openapi.json (13 paths)
- API docs: https://docs.audd.io
- MCP server: io.audd/audd (namespace; auth on 2026-10-19)
- Read 2026-10-19

## MCP server, measured daily

Server: https://mcp.audd.io, checked every day since 2026-10-19 (16 checks).

- Answered: 100% of daily checks
- Median first answer: 199 ms
- Sign-in: OAuth (the client signs the user in)
- Method: https://inite.ai/en/atlas/mcp/report

## Your data

- Certifications stated: none
- Read 2026-10-19

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Source: INITE Atlas, https://inite.ai/en/atlas/audd.io. JSON: https://inite.ai/api/atlas/audd.io. MCP: https://inite.ai/api/mcp (atlas_lookup).
