AI Audio Authenticity Detection

Detect AI-Generated Music
with 99.82% Accuracy

ArtifactNet analyzes audio authenticity using proprietary mel-spectrogram forensic analysis. Built for music distributors, labels, and streaming platforms that need to verify content at scale.

Drop audio file or click to upload

mp3, wav, flac, ogg, m4a

1 analysis per minute. Sign in with Google for unlimited access.
Or try the full interactive demo →
99.82%
Detection Accuracy
0.8%
False Positive Rate
72K+
Tracks Verified
4.2M
Parameters

What is ArtifactNet?

A lightweight, high-accuracy AI audio detection model

ArtifactNet is a 4.2M-parameter neural network that detects whether a music track was created by AI or a human. It works by analyzing spectral patterns that AI generators leave behind — invisible to listeners, but detectable by our model.

Unlike watermark-based approaches, ArtifactNet works on any audio file — no prior registration or cooperation from the AI generator is needed. It identifies content from Suno, Udio, Stable Audio, MusicGen, Riffusion, and emerging generators it has never seen before.

Each analysis returns a verdict (AI or Real), a probability score, and the suspected AI generator — processed in under 1 second per track.

99.82%
F1 Score
0.8%
False Positive Rate
<1s
Per Track
4.2M
Parameters

Generator Identification

Not just AI vs Real — ArtifactNet tells you which AI made it. Currently identifies Suno, Udio, Stable Audio, MusicGen, Riffusion, and Chirp variants.

Zero-Shot Detection

Detects AI generators it has never been trained on. Scored 99.91% TPR on the SONICS benchmark with zero training data overlap — pure generalization.

Format Agnostic

Works equally well on WAV, MP3, FLAC, OGG, Opus, M4A, and AAC. Trained to distinguish lossy compression artifacts from AI generation signatures.

Simple REST API

Upload audio files, get verdicts in seconds

batch_upload.sh
# Upload a batch of audio files
curl -X POST https://api.intrect.io/v1/batch \
  -H "Authorization: Bearer sk-art-..." \
  -F "[email protected]" \
  -F "[email protected]"

# Response (202 Accepted)
{
  "id": "7b1d54e3-cb5f-4285-845d-0385505326b6",
  "status": "processing",
  "total_files": 2
}

# Poll results
curl https://api.intrect.io/v1/batch/7b1d54e3.../results?format=jsonl

# Each track returns:
{"filename": "track1.mp3", "verdict": "ai", "probability": 0.9847,
 "generator": "suno", "generator_confidence": 0.92}

Built For

Content authenticity verification at any scale

Music Distributors

Screen incoming releases for AI-generated content before distribution. Integrate with your existing upload pipeline via REST API. Process thousands of tracks per day.

Record Labels

Verify the authenticity of demos, submissions, and catalog acquisitions. Protect your brand from AI-generated content passing as human-created work.

Streaming Platforms

Flag AI-generated uploads at ingestion. Maintain catalog integrity and comply with emerging content labeling regulations. Batch process your backlog.

Copyright & Legal

Generate forensic analysis reports for copyright disputes. Each verdict includes probability scores, generator identification, and confidence metrics.

Pricing

Analyze as much as you want. Pay only for advanced features.

Core detection is free. Rate-limited, not feature-gated. No credit card required.

Pro

$29/month
  • Everything in Free
  • Higher rate limits
  • REST API access + API keys
  • JSON / JSONL output
  • Forensic PDF reports
  • Batch upload (100 files)
  • Webhook notifications
  • Priority support

Enterprise

Custom
  • Everything in Pro
  • No rate limits
  • Dedicated infrastructure
  • SLA guarantee (99.9%)
  • DDEX / Apple XML reports
  • On-premise deployment
  • Dedicated account manager
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