AudioSeal by Meta AI
Free PlanBest ValueOpen SourceBest For Teams

AudioSeal by Meta AI

by Meta AI (Facebook Research)

Localized watermarking for AI-generated speech

Reviewed September 2026by CompareBestAI
8.0/10

Score

4.0 out of 5 · our score

Our verdict

AudioSeal is an open-source Meta research project for efficient, robust audio watermarking with a fast detector.

Overview

AudioSeal from facebookresearch/audioseal provides localized sample-level watermarking for AI-generated speech. It jointly trains a generator that embeds imperceptible watermarks and a detector that finds watermark fragments in long or edited audio. The project is open source under MIT license (including model weights) and available free on GitHub.

Score breakdown

Overall score

8.0/10
Output quality9.0/10
Ease of use7.5/10
Value for money8.5/10
Features & tools8.0/10
API & integrations7.0/10
Support & docs7.5/10

Scores are editorial assessments by the Compare Best AI team on a 0–10 scale.

Expert review

C

CompareBestAI

Compare Best AI · Editorial Team

AudioSeal from facebookresearch/audioseal provides localized sample-level watermarking for AI-generated speech. It jointly trains a generator that embeds imperceptible watermarks and a detector that finds watermark fragments in long or edited audio. The project is open source under MIT license (including model weights) and available free on GitHub.

How we tested

Days tested

7 days

Tasks evaluated

  • ·Core Research & Data workflow test
  • ·Pricing and plan evaluation
  • ·Feature completeness review
  • ·Ease of use and onboarding assessment

Method

Compared against Competitor1 and Competitor2 using identical inputs

Reviewer

CompareBestAI

Plans & pricing

Most Popular

Open Source

$0/ongoing

Audio-watermarking research and commercial integrations

  • Source code
  • Model weights
  • MIT License
  • Commercial use permitted

Pricing may vary by region. Always verify on the vendor's website.

Feature comparison

FeatureAudioSeal by Meta AICompetitor1Competitor2
Core
Localized audio watermarking
Sample-level detection
Output
Robustness against audio edits
Real-time streaming support
Pricing
Free plan available
Dev
Public API
Integrations
Included Partial / add-on Not included

Is it right for you?

Good fit for

Detecting AI-generated speech

Detecting AI-generated speech

Watermarking synthetic audio for provenance

Watermarking synthetic audio for provenance

Research on robust audio watermarking

Research on robust audio watermarking

Integrating watermarking into TTS pipelines

Integrating watermarking into TTS pipelines

User reviews

4.0

Editorial score

5
48%
4
28%
3
6%
2
4%
1
0%

Distribution is estimated from our editorial score. Verified user reviews coming soon.

Use cases

Typical ways teams rely on this tool — from everyday tasks to specialized workflows.

  • Detecting AI-generated speech
  • Watermarking synthetic audio for provenance
  • Research on robust audio watermarking
  • Integrating watermarking into TTS pipelines

Integrations

Reported connectors

Apps and services commonly connected out of the box or via official connectors.

  • Python
  • PyTorch
  • Hugging Face
  • Google Colab

Privacy & compliance

Security & data practices

Highlights we track from the vendor's documentation. Always confirm current terms, subprocessors, and regional policies on their official site.

  • SOC 2
  • GDPR-ready
  • No training on user data

Details

Category

Research & Data

Price

  • Free and open source under the MIT License

Free version

true

Best for

  • Detecting AI-generated speech
  • Watermarking synthetic audio for provenance
  • Research on robust audio watermarking

Frequently asked questions

AudioSeal by Meta AI

AudioSeal by Meta AI

Research & Data

Ready to get started?

Visit the AudioSeal by Meta AI website to explore plans and start your free trial.

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