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AI Image Detector (aiimagedetector.info)

AI Image Detector cross-checks four independent AI detection models under a published weighted-vote rule and reports a graded conclusion instead of a single made-up percentage. It is built for moderators, publishers, and anyone verifying image authenticity.

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AI Image Detector (aiimagedetector.info) screenshot
AI Image Detector (aiimagedetector.info) screenshot

AI Image Detector is a tool that screens an image against four independent AI-detection models and assembles their results into a graded conclusion rather than a single blended percentage. Its stated aim is to surface disagreement between engines honestly instead of hiding it behind one hidden number.

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When deterministic file evidence such as C2PA credentials or generator self-tags is present, it decides the outcome outright. Otherwise, a published weighted-vote rule applies: Sightengine GenAI, Winston AI, and Was It AI each carry 30%, and the open-source SAFE model carries 10%. Every vote and every dissent is shown by name in the report, and each upload's SHA-256 is recorded for chain-of-custody notes. The result is one of five grades, from AI-generated to real, with an 'Inconclusive' verdict when the evidence does not support a call.

The detector accepts JPEG, PNG, and WebP images and supports batch runs of up to 50 images with a triage summary, per-image reports, and CSV export. New accounts receive four welcome credits for one full report, after which each report costs four credits. Paid Pro and Team plans add higher monthly credit volumes, shared workspace history, and priority support for people who screen images regularly, including trust-and-safety and moderation teams.

  • CategoryAI Content Detectors
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • Cross-checks four independent AI detection models

  • Published weighted-vote rule with every vote shown by name

  • C2PA credentials and generator self-tags as a deterministic trump card

  • Five-grade conclusion including an honest 'Inconclusive' verdict

  • Batch runs of up to 50 images with triage summary and CSV export

  • SHA-256 recorded per upload for chain-of-custody notes

  • Shareable report links and forensic PDF download

  • First full report free with four welcome credits

  1. Upload the original: Drop, browse, or paste your untouched image so its exact bytes and SHA-256 are recorded.

  2. Run the detection: Four models vote in parallel using the published weights, refunding credit for any dead engine.

  3. Read the graded conclusion: Get a five-grade verdict with each engine's vote and any disagreement reported by name.

  4. Batch if needed: Drop up to 50 images for a triage summary, per-image reports, and a CSV export.

  5. Share the report: Send a shareable report link or download the forensic PDF.

  • Trust and safety moderation
  • Profile photo verification
  • Publishing provenance
  • Batch triage

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