Detect AI in images.

Check if a photo is AI-generated. View plans

AI Image Detector
v0.6

JPG, PNG or WebP · 15 MB maximum

Try example
Inside the analysis

See the signals behind the score.

See visual, semantic and source checks together.

How to detect AI in images

IA Checker combines C2PA and SynthID provenance, visual models and pixel forensics into one Human or AI-leaning result.

  1. Provenance and SynthID

    Checks C2PA, metadata and supported SynthID traces.

  2. Visual model review

    Pairs visual embeddings with FakeVLM artifact reasoning.

  3. Pixel forensics

    Measures noise, compression, frequency and residual patterns.

  4. Signal fusion

    Weights every signal into one Human or AI-leaning result.

Sample analysisVisual scan
AI-generated fashion portrait in a glass greenhouse used in the sample analysis
Synthetic greenhouse editorialGenerated sample / 1200 × 900 / WebP
Sample analysisIAchecker.com / Vision engine

AI

Visual structure, material transitions and cross-model agreement align around AI generation.

Strong synthetic alignmentScene structure and surface transitions match learned generation patterns.Semantic and pixel agreementThe semantic and artifact branches point in the same direction.Fine-grained artifacts foundRepeated geometry and reflection details contribute to the synthetic reading.Partner model agreementThe specialist image model reinforces the combined result.
Surface repetition
Strong
Material transitions
Synthetic
Model agreement
4 / 4

Detect images from leading AI generators.

Review images and source frames from Nano Banana, Higgsfield, ChatGPT Images, Seedance and more through one multi-signal workflow.

  • Nano Banana
  • Higgsfield
  • ChatGPT Images
  • Seedance

And 8+ more

Three complementary views of one image.

IA Checker combines specialist detection, multimodal reasoning and pixel-level fusion so no single model carries the entire decision.

Artifact reasoning

FakeVLM

Explains fine-grained visual clues through multimodal scene reasoning.

Specialist detection

Pangram

Adds an independent partner-model reading to the fused image result.

Semantic + pixel fusion

CO-SPY

Combines scene-level meaning with low-level synthetic image artifacts.

IAchecker.com Vision engine

One image, several readings, one clear result.

Our computer vision approach reads the full frame and local regions in parallel. It compares edges, textures, spatial relationships, compression structure and learned visual features before FakeVLM, Pangram, CO-SPY and the evidence-fusion layer assemble the final image result.

  • FakeVLMMultimodal visual artifact reasoning
  • PangramSpecialist image-detection reading
  • CO-SPYSemantic and pixel-level feature fusion
  • And moreSource provenance, forensics and model consensus

How AI image detection works

IA Checker reads source data, visual structure and independent model signals before combining them into one clear image report.

Read source provenance

C2PA credentials, SynthID traces and embedded metadata can identify how an original file was created or edited.

Inspect visual consistency

Textures, reflections, edges, anatomy and material transitions reveal patterns across the full image and its local details.

Compare independent models

IA Checker Vision, FakeVLM, CO-SPY and Pangram contribute distinct readings that are fused into the final result.

Good to know

AI image detection questions

Clear answers about formats, provenance and generator coverage.

How can you tell if an image is AI-generated?

The strongest reading combines image provenance, visual artifacts, pixel-level measurements and agreement between independent models. IA Checker presents those signals together so the result can be reviewed in context.

Does IA Checker detect images from ChatGPT Images, Nano Banana, Higgsfield and Seedance?

Yes. IA Checker analyzes images and source frames from these generator families through the same multi-signal workflow, including visual models, forensic measurements and available source credentials.

What do C2PA and SynthID add to an image check?

C2PA can carry signed source credentials, while SynthID can add an embedded signal to supported generated content. IA Checker reads these alongside the visual analysis when they are available.

Which image formats can IA Checker analyze?

You can upload JPG, PNG and WebP images up to 15 MB. Original files preserve the richest source and pixel information for the analysis.

How does the IAchecker.com Vision engine analyze an image?

It combines specialist readings from FakeVLM, Pangram and CO-SPY with provenance, visual-consistency and pixel-forensic signals. The report presents the combined AI probability together with the strongest contributing evidence.

Keep every image check connected.

Create a free IA Checker account to manage your workspace and choose the image detection plan that fits your reviews.

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