---
title: "Music recognition API pricing: what to expect and how to choose"
description: "How music recognition API pricing actually works — the cost drivers behind audio fingerprinting, the billing models to expect, and a practical framework for choosing a provider that scales with you."
slug: "/resources/articles/music-recognition-api-pricing"
section: "articles"
keywords: [audd, music recognition api pricing, audio fingerprinting cost, api billing, enterprise endpoint, music recognition api]
---

# Music recognition API pricing: what to expect and how to choose

When you are building an app that identifies songs, choosing a music
recognition API involves more than comparing accuracy. Pricing shapes your
project's economics, especially as you move from prototype to production.

Music recognition is not a single flat per-request product. Different
recognition tasks have genuinely different costs behind them, and the better
providers bill in a way that reflects that. Understanding how the models work
before you commit helps you avoid budget surprises and pick a provider that can
grow with you.

## Why pricing is not a single flat rate

Recognizing a short clip is cheap. Scanning a two-hour DJ set for every track
it contains is not — it is many fingerprint comparisons, not one. Monitoring a
radio station continuously, 24/7, is different again: the cost is tied to how
many live sources you watch at once, not to any single lookup.

A good pricing model maps onto those differences instead of flattening them. At
AudD, that maps directly onto the three recognition surfaces:

- **Standard recognition** (a short clip, one best match) bills **per request**.
  This is the unit behind a "name that song" button or a single uploaded clip.
- **Enterprise recognition** (long audio or video, chunked into segments, every
  match returned with timestamps) bills **per 12 seconds of audio processed**.
  A long file costs more than a short one because the server fingerprints more
  of it. This is why you control how much gets scanned with parameters like
  `limit`, `every`, and `skip`.
- **Stream monitoring** (continuous live audio) bills **per concurrent stream**.
  Watching one station around the clock is one unit of capacity, regardless of
  how many songs play.

Matching the surface to your input is the single biggest cost decision you make.
Sending a long file to the standard endpoint will not work; sending a short clip
through enterprise works but makes you reason about chunk billing for an answer
the standard endpoint would have returned in one request.

## AudD pricing at a glance

| Plan | Price | What you get |
|---|---|---|
| Free trial | $0 | 300 recognition requests, no credit card |
| File recognition | $5 per 1,000 requests | Pay-as-you-go; volume discounts to about $2 per 1,000 at scale |
| Volume (file recognition) | $450 / $800 / $1,800 per month | 100,000 / 200,000 / 500,000 requests per month |
| Stream monitoring | $45 per stream / month | Against AudD's database — or $25 per stream / month against your own uploaded catalog |
| Enterprise | Custom | On-premise deployment and unlimited-length file recognition — contact api@audd.io |

Pricing is usage-based: you pay for the requests and streams you actually use,
not a fixed monthly subscription, and the 300-request free trial needs no card.
The numbers above are current as of 2026; [audd.io](https://audd.io) carries the
live figures.

## The cost drivers to understand

**Database size and coverage.** A larger reference database carries more
licensing and infrastructure overhead, but it also means fewer missed matches.
AudD recognizes against a catalog of 160 million songs. The question for your
project is whether you need that breadth or whether a narrower catalog fits —
though for most copyright, attribution, and monitoring use cases, broad coverage
is exactly the point.

**Recognition mode.** Real-time recognition for live streams and radio
monitoring is a heavier operation than a one-off file lookup; it ties up
capacity continuously. That is why it is billed as concurrent capacity rather
than per request.

**How much audio you process.** For long-form content, the cost scales with the
audio you actually fingerprint. Scanning every chunk of a multi-hour file costs
more than sampling it. If you only need a yes/no verdict rather than a complete
tracklist, sampling (with `every` and `skip`) cuts the metered audio
substantially.

**Metadata depth.** The core response carries artist, title, album, and label.
Identifiers like ISRC and a match `score` are available on a Startup plan or
higher. Provider links — Apple Music, Spotify, Deezer, MusicBrainz —
are returned only when you request them, so you are not paying for enrichment
you do not use.

## Hidden costs to watch for in any provider

- **Long recordings.** Processing hours of audio adds up faster than developers
  expect when billing is tied to duration. Estimate around peak inputs, not the
  average file. With AudD's enterprise endpoint, always set `limit` during
  development so an unbounded call on a multi-hour file cannot silently meter
  hundreds of chunks.
- **Re-processing.** Re-scanning the same content re-bills. Cache results keyed
  by content ID so you can re-run policy without re-scanning.
- **Integration effort.** The API itself is straightforward, but storing
  results, handling retries, and building moderation or reporting logic around
  it is real work. Official SDKs (AudD ships eleven, covering Python, Node/TS,
  Go, Rust, PHP, Swift, Kotlin, .NET, Java, C, and C++) shorten that path.

## Choosing a model for your stage

**Prototypes and MVPs.** Validate your concept before spending on volume. AudD
provides a public `test` token that works on the standard endpoint (limited to
a small number of requests per day) so you can confirm integration and
recognition quality on real audio before committing. Focus on integration speed
and match quality with your own test clips.

**Growing applications.** Once you have usage data, look for a billing model
without dramatic cliffs between tiers. Per-request standard recognition and
per-12-second enterprise billing both scale gradually with usage, so cost tracks
demand rather than jumping at thresholds.

**Production and scale.** At higher volume, the questions shift to reliability,
support, and how cleanly the model handles your real traffic. Look past a
single per-call figure: factor in integration complexity, ongoing maintenance,
and how much audio your workload actually processes.

## A practical decision framework

1. **Map your inputs to surfaces.** Short clips, long files, and live streams
   bill differently — get this right first.
2. **Estimate against peak inputs.** Long files and busy months drive cost, not
   averages.
3. **Calculate total cost over twelve months** for your expected usage, not just
   a per-call rate.
4. **Factor in integration time** and the development resources required; an
   official SDK in your language reduces it.
5. **Test accuracy and speed against your actual audio** before committing.

## Getting started

The most reliable way to validate both technical fit and cost is to test with
your own audio. Start with the `test` token on the standard endpoint, measure
your actual usage patterns, and scale from there.

Get a token at
[dashboard.audd.io](https://dashboard.audd.io) and check the live pricing at
[audd.io](https://audd.io).

## Pricing FAQ

**Is there a free trial for the AudD API?** Yes — 300 recognition requests free
on signup, with no credit card required.

**How does AudD API pricing work?** It is usage-based, not a subscription. File
recognition is pay-as-you-go at $5 per 1,000 requests, with volume discounts to
about $2 per 1,000 at scale. Stream monitoring is billed per concurrent stream
per month: $45 against AudD's database, or $25 against your own uploaded catalog.

**Do I need a subscription to use AudD?** No — you pay only for what you use.

**How much does enterprise or on-premise recognition cost?** Enterprise
arrangements (on-premise deployment, unlimited-length file recognition) are
custom-priced. Contact [api@audd.io](mailto:api@audd.io).

---

**Related**

- [Standard, enterprise, or streams: how to choose](/resources/concepts/standard-vs-enterprise-vs-streams)
- [Enterprise cost optimization](/resources/concepts/enterprise-cost-control)
- [Custom catalog vs the public database](/resources/concepts/custom-vs-public-db)
- [API reference](https://docs.audd.io)