AnyImageDetector
VerifiedCheck whether a photo is AI generated with a probability score and confidence level
Product preview
AnyImageDetector
What it is
AnyImageDetector is a web tool and API for estimating whether an image was created by AI. You upload a JPG, PNG or WebP file or paste a public image link, and it returns an AI probability score, a confidence level and a verdict of real, AI or uncertain. The site says it is built to catch output from popular generators such as Midjourney, DALL-E, Stable Diffusion, Firefly, Imagen and FLUX, while noting that coverage varies and results should be treated as one signal. Uploaded files are not added to detection history by default. A free tier covers a handful of checks, and paid monthly plans add more images, history and API access.
Key features
- AI probability score with confidence label
- Upload or paste an image URL
- REST API for bulk checks
- Detection history on higher tiers
What we liked
- + Low entry price for paid plans
- + Clear about accuracy limits
- + No image storage for web checks
Worth noting
- · Free tier covers only a few images
- · Results vary by generator and editing
Editor's notes
More context from AI BirdView
Realistic fake photos now turn up in news feeds, dating apps and online marketplaces, and a quick second opinion can save a lot of trouble. AnyImageDetector offers that check in a few seconds, and it deserves credit for being upfront that its score is a probability rather than a final answer. That honest framing makes it a sensible tool for everyday verification.
- Returns an AI probability score, a confidence level and a plain real, AI or uncertain verdict
- Accepts JPG, PNG and WebP uploads up to 8 MB, or a public image link
- Aimed at output from widely used generators, including Midjourney, Stable Diffusion, Firefly and FLUX
- Web uploads are processed for the check and not added to detection history
- A REST API that returns the same verdict as the web tool, for teams that need checks at scale
It is best for journalists, fact-checkers, marketplace moderators and everyday users who want to vet a suspicious image before sharing or acting on it. A practical tip: heavy cropping, compression or filters can weaken the signals any detector relies on, so test the highest quality version of an image you can find, and combine the result with a reverse image search.
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