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AI Image Detector

Commercial use OK 380+ models No watermark No sign-up needed
Model:
+ GPT-5, Claude, Gemini
Drop an image, our vision model checks it for signs of AI generation — warped hands, garbled text, impossible reflections, diffusion artifacts. You get a probability score, a verdict, and the specific signals it spotted. Honest about its limits: recent models like FLUX 1.1 Ultra and Nano Banana can pass the test.

Upload an image to analyze

JPG, PNG, WebP up to 10MB

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~500 tokens

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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.

    When to check

    News / journalism vetting

    Journalists fact-checking viral images, reverse-image-search corroboration. Combine with TinEye / Google Lens for source-tracing. Treat AI-detect as one signal among several, not as proof.

    Education / academic

    Teachers checking submitted illustrations, design-school reviews, art-class plagiarism scans. Tells you if the work is likely AI-generated; cannot prove the specific tool used.

    Dating apps / catfish detection

    Verify a profile photo before meeting. Look for warped hands, impossible jewelry, missing earrings on one side. AI-detect is one tool; a video call is the gold standard.

    Marketplace listings

    Etsy / Amazon / Shopify shoppers verifying product photos are real (not AI-rendered concept art). Sellers verifying their own AI-art products are flagged correctly to comply with platform disclosure rules.

    Honest about limits

    Recent models (FLUX 1.1 Ultra, Nano Banana, Imagen 4 Ultra, Seedream 4) can pass the test. C2PA content credentials embedded by some camera vendors and image generators are more reliable than visual heuristics.

    Complementary tools

    Pair with InVID (video forensics), FotoForensics (ELA), reverse-image-search (TinEye), and C2PA verification. No single tool is conclusive; cross-reference for high-stakes determinations.

    Free.ai AI Detector vs Hive / Optic / Sensity / Illuminarty

    FeatureFree.aiHive AIOptic AI or NotIlluminarty
    Price$0 (daily pool)API paid (B2B)Free trial / paidFree / Pro $9/mo
    Browser-basedYesAPI + dashboardYesYes
    Signal-level explanationYesScore onlyScore onlyYes
    Recent-model accuracyModest (60-75%)Better (75-90%)Modest (60-75%)Modest (60-75%)
    Sign-up requiredNoYesYesYes
    Hive AI leads on accuracy for B2B journalism / brand-safety contracts. Free.ai gives you a transparent free check with signal explanation — useful for casual verification, not enough alone for legal proof.
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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.

    How to Use AI Image Detector

    1
    Enter your input

    Type text, upload a file, or describe what you want. No account needed.

    2
    Click generate

    Our AI processes your request in seconds using the best open-source models.

    3
    Download & share

    Download, copy, or share your result. Free for personal and commercial use.

    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 an image, our vision model returns a probability score (0-100%), a verdict (Likely AI / Likely real / Uncertain), a confidence badge (low / medium / high), and the specific signals it spotted (warped hands, garbled text, impossible reflections, diffusion artifacts). 3 modes: AI generation detection, deepfake face-swap detection, photo-manipulation detection.

    Yes — free in the daily token pool (~500 tokens/check). Hive AI is API-only, B2B-priced (typically $500+/mo enterprise). Optic AI or Not has a free trial then paid. Illuminarty is free / $9/mo Pro. Free.ai matches the consumer-grade detection without signup or paywall, with the additional benefit of explaining the signals it spotted (most competitors give just a score).

    Honest answer: 80-95% on older AI imagery (Stable Diffusion 1.x, early Midjourney v3-4, DALL-E 2). 60-75% on recent state-of-the-art models (FLUX 1.1 Ultra, Nano Banana Pro, Imagen 4 Ultra, Seedream 4) — those can pass our test. Hive AI runs at ~75-90% on modern models; their B2B pricing reflects that. Use this as a heuristic, not forensic proof.

    Hand / finger anatomy (extra fingers, fused digits), teeth uniformity, eye symmetry, text legibility (AI often garbles text), impossible reflections and shadow directions, overly smooth or "plastic" skin, warped backgrounds, repeated textures. Each detected signal appears in the result list so you understand why the verdict landed where it did.

    AI-generated detects whole-image generative outputs (DALL-E / Midjourney / Stable Diffusion / FLUX). Deepfake detects face-swapped composites (one face on a different body). Photo manipulation detects any non-AI editing (Photoshop touch-ups, color grading, object insertion). Different signals matter per mode — pick the one matching your suspicion.

    No. Courts require provenance-based verification — C2PA content credentials, cryptographic signing, EXIF chain-of-custody, original-camera-source proof. Visual heuristic detection has too high a false-positive rate to be admissible. Use this for casual sanity-checks; pair with legal-grade forensics for high-stakes determinations.

    Modern AI images are genuinely hard to distinguish. The model is calibrated to admit uncertainty rather than guessing. Other detectors will give false confidence to score better in marketing — we prefer accurate uncertainty over confident-wrong. If you see Uncertain, cross-reference with TinEye reverse-image-search, EXIF inspection, and source verification.

    Occasionally — false positives happen on heavily-edited product shots (which look "too perfect"), highly stylized portrait photography (Annie Leibovitz-style polish), low-quality JPEGs with compression artifacts that mimic AI noise, and old-camera scans with grain patterns. Read the signal list before concluding; "Likely AI" with low-confidence + thin signals = likely false positive.

    Qwen 2.5-VL 7B — a multimodal vision-language model fine-tuned for forensic-style image analysis. We prompt it specifically to look for diffusion-model artifacts and structured-output the JSON schema (probability + verdict + confidence + signal list).

    Some recent cameras (Sony, Leica) and image generators (DALL-E 3, Midjourney) embed C2PA signatures. We do NOT yet read C2PA — that is the more reliable verification path for AI-generated content moving forward. Adobe Verify and verify.contentauthenticity.org check C2PA. Pair our visual heuristic with C2PA verification for stronger results.

    Uploaded images are analyzed and discarded immediately. Only the structured result (probability + verdict) is logged for analytics + your /account/?tab=history. Never used for training. Privacy policy at /privacy/.

    Yes — POST multipart to /v1/image/describe/ with image file, mode (ai-detect / deepfake-detect / manipulation-detect), tool:"image-ai-detector". Returns JSON with ai_probability (0-1), verdict, confidence, signals[]. Bearer auth, 10K tokens/month free. /api/ has the curl example.

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