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AI Image Detector

Upload an image and our vision model checks it for signs of AI generation — warped hands, garbled text, impossible reflections, diffusion artifacts. Get a probability score and the specific signals it spotted.

Paste or upload any image and find out whether it was AI-generated. Free, no account, instant result with confidence score.

Bii o ṣe le lo AI Image Detector

Fi àwọn ìṣàmúlò-ètò rẹ̀ pamọ́

Ṣàfihàn àkọlé, láti fi fáìlì pamọ́, tàbí láti ṣàfihàn ohun tí o fẹ́. Kò ní àwọn àwọn kọ́̀ǹpútà tí a fẹ́.

Tẹ̀ láti ṣẹ̀dà

AI wá ń ṣé iṣẹ́ àgbèkalẹ̀ rẹ̀ nínú àwọn ìṣísẹ̀ láti ló àwọn módèlè̀ tí a ṣí lè lò.

Ṣàfikún & Àwọn Àkọsílẹ̀

Ṣàfihàn, kọ́, tàbí fi àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn

Use this tool via API

Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.

API Documentation Get API Key

curl -X POST https://api.free.ai/v1/image/generate/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"prompt": "A sunset over mountains", "model": "sdxl"}'

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AI Image Detector — FAQ

Upload any image and our vision model checks it for signs of AI generation — warped hands, garbled text, impossible shadows, diffusion artifacts. You get a probability score, a verdict, and the specific signals it spotted.

Yes. Each check costs about 500 tokens. Signed-up users get 10,000 tokens/day free.

Good for catching obvious AI imagery from older models (Stable Diffusion 1.x, early Midjourney, etc.). Much harder on state-of-the-art models like FLUX and Nano Banana — those can pass the test. Treat it as a heuristic, not forensic proof.

Hand and finger anatomy, teeth, symmetric eyes, text legibility, impossible reflections and shadows, overly smooth skin, warped backgrounds, and repeated textures — classic tells of diffusion model outputs.

0-40% = likely real. 40-70% = uncertain, check manually. 70-100% = likely AI-generated. The confidence badge tells you how sure the model is about that estimate.

Modern AI images are hard to distinguish. If the model isn't confident either way, it says so rather than guessing. That's honest — other detectors will give you false confidence.

No. This is a quick heuristic, not a forensic tool. Courts require provenance-based verification (C2PA, cryptographic signing). Use this to sanity-check, not to settle disputes.

Qwen 2.5-VL — a multimodal vision-language model. We prompt it specifically to look for the telltale signs of generative image artifacts.

JPG, PNG, and WebP up to 10MB. Higher-resolution images give the model more detail to analyze.

Occasionally — stylized portraits, heavily edited product shots, and low-quality JPEGs can trigger false positives. Always read the signal list before concluding.

No. Uploads are analyzed and discarded immediately. Only the result is kept (if you sign in, in your generation history).

Yes — POST an image to /v1/image/describe/ with mode=ai-detect. See /api/ for docs.

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Kò ní àwọn kaadí ẹ̀yàn tí a fẹ́

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AI Image Detector

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Àwọn Àtòjọ-ẹ̀yàn

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Fi àwọn ìṣàmúlò-ètò rẹ̀ pamọ́

Tẹ̀ láti ṣẹ̀dà

Ṣàfikún & Àwọn Àkọsílẹ̀

Use this tool via API

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AI Image Detector — FAQ

What is the AI Image Detector?

Is it free?

How accurate is it?

What signals does it look for?

What does the probability mean?

Why does it say "uncertain" so often?

Can I use this as legal evidence?

Which model powers it?

What image formats are accepted?

Will it flag real photos as fake?

Is my upload stored?

Is there an API?

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