---
title: "AudD vs PEX: music recognition and rights management compared"
description: "How AudD and PEX differ for platform builders handling music: AudD is a developer-first recognition API across 160 million songs; PEX is a rights-management platform built around UGC compliance."
slug: "/resources/articles/audd-vs-pex"
section: "articles"
keywords: [audd, pex, music recognition, rights management, ugc compliance, audio fingerprinting]
---

# AudD vs PEX: music recognition and rights management compared

Platforms that handle music at scale eventually hit rights issues. AudD and
PEX both touch this problem, but they approach it from different angles — and
the right choice depends on whether your core need is *identifying* music or
*managing rights* around it.

## The core difference

**AudD is a music recognition API.** Submit an audio file, a URL, or a live
stream and get back clean metadata: artist, title, album, label, and — on
request — direct links to Apple Music and Spotify. Recognition is
neural-network audio fingerprinting against a public database of 160 million
songs, fronted by official SDKs in eleven languages. AudD identifies music; it
leaves what you *do* with that identification up to you.

**PEX positions itself as a rights-management platform**, built around
user-generated-content compliance and copyright protection. Its recognition is
coupled to rights-holder data and compliance actions, aimed at platforms that
want automated decisions when copyrighted music appears in uploads.

One tool gives you an identification
primitive to build on; the other gives you an opinionated compliance workflow.

## Music recognition

### AudD's approach

AudD is built around recognition itself, exposed through three purpose-built
modes on one account:

- **Standard** (`api.audd.io`) — a short audio clip (the endpoint analyzes up
  to about 12 seconds of audio) returns the single best match, quickly. For
  Shazam-style identification and now-playing displays.
- **Enterprise** (`enterprise.audd.io`) — long audio and video, chunked
  automatically, returns *every* match across the file with timestamps, billed
  per 12 seconds. For analyzing whole broadcasts, mixes, or UGC videos.
- **Streams** — register a live source with `addStream` and receive matches by
  callback or longpoll, continuously, 24/7. For radio and broadcast monitoring.

A basic match returns artist, title, album, release date, and label; the
`return_metadata` parameter adds provider blocks (`apple_music`, `spotify`,
`deezer`, `musicbrainz`) and a universal `song_link`. ISRC, UPC, and
the match `score` are available on the Startup plan and higher — the fields a
compliance system cross-checks against licensing data.

AudD also supports **custom catalogs**: upload your own recordings and later
recognition calls match against them, returning an integer `audio_id` you
assigned. That covers "is this *my* track?" — leak detection and sample reuse —
alongside the public "what song is this?" path.

### PEX's approach

PEX treats recognition as a step inside a larger compliance pipeline:
identification connects directly to rights-holder data and licensing status, so
the platform can act on a match. That tight coupling fits its core use case —
helping platforms manage UGC and stay ahead of copyright issues — at the cost of
added surface area if all you need is identification.

## Technical integration

### Developer experience

AudD's value to a developer is that you call a typed SDK method, not a raw HTTP
endpoint:

```python
from audd import AudD

# get your own token at dashboard.audd.io; "test" is capped at 10 requests/day
audd = AudD("test")

song = audd.recognize(
    "https://audd.tech/example.mp3",
    return_metadata=["apple_music", "spotify"],
)

if song is None:
    print("no match")  # a successful call that matched nothing — not an error
else:
    print(song.artist, "—", song.title)
    print(song.streaming_url("apple_music"))
    print(song.song_link)
```

The same call exists across all eleven SDKs (`recognize` for a short clip,
`recognize_enterprise` for a long file). A no-match returns `None`/`null` rather
than raising — you treat "nothing matched" as a normal, empty result and reserve
exceptions for bad tokens, undecodable audio, and transport failures.

PEX carries more API surface to support its rights-management workflows. The
extra functionality means more to configure up front; the payoff is that the
compliance logic comes built in rather than something you assemble yourself.

### Real-time processing

Both handle real-time, but optimized for different ends. AudD's **streams** mode
is built for continuous identification of live sources — radio, live events,
24/7 pipelines — reporting each new track as it changes. PEX's real-time focus
is on immediate compliance decisions when a user uploads content containing
copyrighted music.

## Use-case alignment

### When AudD fits

AudD is the right call when accurate identification is the core need and you
want to own the logic around it:

- **Radio and broadcasting** — monitor airplay, build playlists, power
  now-playing displays (streams mode).
- **Content analysis** — analyze audio for research or trend tracking without
  triggering any compliance workflow.
- **Music discovery apps** — identify songs in a user's environment and link
  straight to streaming platforms.
- **Custom compliance** — fold recognition into your *existing* moderation
  system, deciding yourself what happens after a match. On enterprise calls
  (Startup plan and higher) you get ISRC and UPC to cross-check against
  licensing systems.

### When PEX fits

PEX suits platforms where UGC compliance is the primary concern and an
automated, off-the-shelf rights workflow is preferable to building one:

- **Social and video-sharing platforms** handling large upload volumes of
  copyrighted music.
- **Live-streaming platforms** managing music rights for creators on the fly.
- **Teams without bandwidth** to build rights-management infrastructure
  themselves.

## Pricing and integration time

**AudD** uses per-request pricing: you pay per recognition call, so costs scale
with actual usage and budgeting stays predictable — a fit for variable volumes
and teams still in development. Integration is typically days, not weeks: a typed
SDK call, no rights layer to configure.

**PEX** generally works with larger platforms through custom agreements that
reflect the scope of an ongoing compliance product. That fits established
platforms with significant UGC volume; it's a heavier lift for smaller teams,
with more upfront configuration of compliance workflows.

## Making the choice

The decision comes down to your primary use case:

- **Choose AudD** when you need fast, accurate music identification and want the
  freedom to build your own logic around it — discovery, content analysis, radio
  monitoring, or a compliance flow you control. You also get custom-catalog
  matching for your own audio, which a pure rights platform doesn't provide.
- **Choose PEX** when UGC compliance is the main priority and you'd rather adopt
  an automated rights-management workflow than build one, especially at high
  upload volume.

They're not strictly either/or: a platform can use AudD as its identification
layer and build (or buy) rights logic on top, exactly because AudD keeps
identification and policy separate.

## Getting started

AudD gives you self-serve API access so you can test recognition accuracy and
integration effort quickly. Get a token at
[dashboard.audd.io](https://dashboard.audd.io), start with the standard
endpoint, and add enterprise or streams as your needs grow. The
[API reference](https://docs.audd.io) covers every mode.

---

**Related**

- [Standard, enterprise, or streams: how to choose](/resources/concepts/standard-vs-enterprise-vs-streams)
- [Build a copyright scanner for user-uploaded content](/resources/recipes/ugc-copyright-scanner)
- [For video platforms](/resources/for/video-platforms)
- [API reference](https://docs.audd.io)