AI Image Detector
Model:
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.
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Signals detected:
This is an AI-powered estimate, not a court-admissible forensic test. False positives and false negatives happen — use judgment alongside it.
Advanced options
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Paste or upload any image and find out whether it was AI-generated. Free, no account, instant result with confidence score.
如何使用 AI Image Detector
1
输入输入
键入文本、上传文件或描述您想要的东西。不需要账户 。
2
点击生成
我们的人工智能使用最佳的开放源码模型,在秒内处理你的请求。
3
下载共享( S)
下载、复制或分享您的结果。 免费个人和商业使用 。
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.
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"}'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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