AI ART DETECTOR

Find out if a piece of art was made by a person or AI.

Upload an artwork and get a clear verdict in under ten seconds, backed by the actual evidence: pixel-level artifacts, embedded metadata and a match against known generative models, not just a black-box score.

No account needed for your first 5 checks · Works on JPG, PNG and WebP up to 20MB

ORIGINAL ARTWORK 1890 Vincent van Gogh's Almond Blossom painting, created in 1890
AI-GENERATED REINTERPRETATION AI-generated reinterpretation of Almond Blossom, with flowering branches against a vivid blue sky
ARTWORK COMPARISON · DEMOScanning original artwork
01 / 02

Vincent van Gogh, Almond Blossom, 1890. Wikimedia Commons · Public Domain Mark

Trained against output from
MidjourneyDALL·EStable DiffusionAdobe FireflyIdeogram
2.3M+
Artworks analyzed to date
40+
Generators fingerprinted
6s
Average report time
98.4%
Agreement with expert review
How it works

Three checks our AI art detector runs on every artwork

Most AI art detection tools return a single number. We show you what produced it, so you can decide how much weight to give it.

01

Upload the artwork

Drop in a JPG, PNG or WebP artwork file, or paste a link. Nothing is downscaled before analysis, since compression can hide the details we're looking for.

02

We run the analysis

The artwork is scored for diffusion patterns, checked for embedded metadata or C2PA content credentials, and compared against fingerprints from known generators.

03

Read the full report

You get a verdict, a confidence score, and a breakdown of the signals behind it, with flagged regions if only part of the artwork was AI-edited.

What we catch

What our AI art detection tool catches

Detail view of a vivid painted artwork
READ THE ARTWORKSignals can appear across a whole artwork or in a small region.
01

Diffusion-generated art

Complete artworks from Midjourney, DALL·E, Stable Diffusion and similar creative models.

02

GAN-based work

Older generative-adversarial output, including style-transfer and face-synthesis pieces.

03

Partial AI edits

Generative fill, inpainting or AI upscaling layered onto a painting, drawing or other artwork.

04

Digitally altered artwork

Paintings and illustrations whose original appearance has been significantly changed through AI enhancement or retouching.

Accuracy & method

We'd rather show our work than promise perfection

Every generator update changes what "AI-looking" means at the pixel level. Instead of chasing one universal score, the report weighs three independent signals and tells you when they disagree.

No detector is infallible. Screenshotted, rescanned, or heavily compressed artwork lowers confidence across every method. Treat a result as evidence to weigh alongside context, not a final ruling. That's why we show the breakdown instead of a single pass/fail badge.
  • 01

    Pixel & frequency analysis

    Diffusion models leave statistical noise patterns invisible to the eye but measurable in the frequency domain.

  • 02

    Metadata & content credentials

    We check for C2PA credentials and EXIF traces that many cameras and editing tools attach automatically.

  • 03

    Model fingerprinting

    Output from named generators has recognizable signatures; a match can often name the likely source model.

  • 04

    Human review, on request

    Borderline results can be queued for a second look by a trained reviewer on Pro and Team plans.

Who it's for

Built for anyone who needs an AI art detector, not just a hunch

01 / CREATIVE PRACTICE

Artists

Check whether your own portfolio pieces are being scraped and passed off through AI reproductions, or defend your work when it's wrongly accused of being AI-made.

02 / CURATION

Marketplaces & galleries

Review submissions in bulk and support platform teams with a consistent artwork review workflow.

03 / EDUCATION

Teachers & competition judges

Review student or entrant submissions quickly, with a report you can attach to a decision instead of a gut call.

04 / RESEARCH

Journalists & researchers

Verify artwork before publication or citation, with a methodology you can actually describe in a footnote.

What people say

Used by people who need a straight answer

A customer swore their piece was hand-painted. The report flagged clear diffusion noise in the shadow areas within seconds and saved me an awkward conversation.

ML
Mara Lindqvist
Illustrator & print shop owner

We screen around 400 listings a week. Batch upload cut our manual review time by more than half, and the flagged-region view means we're not just trusting a single number.

DO
Devon Okafor
Marketplace operations lead

My students know I check now, so submissions have gotten a lot more honest. The report gives me something concrete to point to instead of just a gut feeling.

PS
Priya Shah
High school art teacher
Trust & privacy

Your uploads stay yours

Never used for training

Uploads are processed only to generate your report, not to train our detection models.

Delete anytime

Remove an upload immediately after your report is generated, or it clears automatically after 30 days.

Encrypted in transit

Every upload moves over TLS and stays encrypted at rest while your report is being generated.

Never sold or shared

Your artwork and reports aren't sold or shared with advertisers or other platforms.

Pricing

Start with a free AI art tester, upgrade when you check in bulk

Free

For the occasional AI art test

$0
  • 5 checks per month
  • Full verdict & confidence score
  • Artworks up to 10MB
Start free
Most popular

Pro

For artists, buyers and small teams

$12/month
  • Unlimited checks
  • Full evidence breakdown & model match
  • Artworks up to 50MB
  • Priority processing
Ask about Pro

Team

For marketplaces & platforms

Custom
  • Bulk artwork review workflows
  • Human-reviewed edge cases
  • Shared team reports
Talk to us
Questions

Common questions about AI art detection

It layers three checks: pixel and frequency-domain analysis for diffusion artifacts, a scan of embedded metadata and content credentials, and a model-fingerprint comparison against known generators. No single check is decisive alone, which is why the report shows all three.

No. Heavily compressed, rescanned or screenshotted artwork reduces confidence across every method that exists today. Use the score as evidence to weigh, not a final ruling.

Yes. The model-fingerprint layer is trained on output from the major diffusion and GAN-based generators and will often name a likely source model alongside the overall verdict.

Generative fill, inpainting and AI upscaling can leave localized signs, and the report can flag those regions rather than scoring the entire artwork as one block.

Artworks are processed only to generate your report. They aren't used for training and aren't shared with third parties, and you can delete an upload immediately after your report is generated.

See what's really behind a piece of art.

Check an artwork, free