AI Image Detector
Checks what's actually embedded in the file — Content Credentials, generation data, software tags — not a pixel-guessing classifier.
Also known as: AI-generated image checker, Content Credentials checker, C2PA checker, AI photo detector
How it works
- 1Upload a JPG, PNG, or WEBP file.
- 2The file's metadata is read and checked entirely in your browser — nothing is uploaded anywhere.
- 3Review each finding: embedded Content Credentials, generation parameters, software tags, or camera evidence.
- 4Expand the raw data sections for the full embedded text, if you want to dig in further yourself.
Why use AI Image Detector
Checks real evidence, not pixels
Reads embedded C2PA Content Credentials, Stable Diffusion generation data, and software/XMP tags — every finding traces back to actual bytes in the file.
Honest about its limits
States plainly when no signal is found instead of forcing out a confident-sounding percentage from an empty file.
Reads the actual Stable Diffusion recipe
When present, shows the literal embedded prompt, negative prompt, sampler, seed, and model — not an inference.
Recognizes real Content Credentials
Reassembles and reads C2PA manifest data embedded by Adobe, OpenAI, Google, and other C2PA-member tools.
Checks for camera-capture evidence too
Surfaces genuine camera make/model, exposure, and GPS data — signals that point toward a real photo, not just against an AI one.
Nothing ever uploaded
Every byte of the file is read and parsed locally in your browser tab.
Who uses AI Image Detector
Checking a suspicious product or listing photo
Look for embedded generation data or AI-tool signatures before trusting an image in a listing, review, or ad.
Verifying a press or stock photo's provenance
Check for a C2PA Content Credentials manifest and genuine camera EXIF before republishing.
Recovering the prompt behind a Stable Diffusion image
Pull the exact prompt, sampler, and seed back out of a PNG someone shared, if the generation data is still embedded.
Auditing your own AI-generated images
Confirm what metadata a generator actually embedded in your output before you share or publish it.
A first, honest check before a bigger decision
Use this as one input among several — not a final verdict — before acting on whether an image is real.
About AI Image Detector
Most "AI image detector" tools work by feeding your photo's pixels into a trained classifier and returning a confidence percentage — "87% likely AI-generated." That number is a lot less solid than it sounds. Pixel-based AI-detection is a genuine, unsolved research problem: every new image generator shifts what the classifiers were trained to recognize, and a simple re-save, crop, resize, or light noise routinely flips a classifier's verdict. Published real-world accuracy for these tools is nowhere near 100%, and false positives — flagging a real photo or a human artist's work as AI-generated — cause real harm. This tool takes a different, more honest approach: it looks for evidence that's actually, verifiably present in the file, rather than guessing.
The strongest signal it checks for is C2PA Content Credentials — an open industry standard (backed by Adobe, OpenAI, Google, Microsoft, and the BBC among others) for embedding tamper-evident provenance data directly into a file. When present, this tool reassembles and reads the embedded manifest data; when it references a trained or algorithmic media source, that's about as strong a signal as exists today. It also recognizes Stable Diffusion's convention of embedding the exact prompt, sampler, seed, and model directly into a PNG's own text chunks (used by AUTOMATIC1111, ComfyUI, and InvokeAI) — when present, that's not a guess, it's the literal generation recipe sitting in the file.
Beyond that, it checks a file's EXIF Software field and XMP CreatorTool field against a list of known AI image generators (Midjourney, DALL-E, Adobe Firefly, Leonardo.Ai, and more), and checks for genuine camera-capture evidence — a camera make/model, exposure data, GPS — the kind of metadata a real photo almost always carries and an AI generator almost never fabricates convincingly. None of these signals are proof by themselves — metadata can be edited, and it's trivially stripped by a screenshot or a re-save — which is exactly why this tool reports what it found rather than manufacturing a verdict from nothing.
When a file carries no metadata at all — the single most common case, since screenshotting or re-uploading to social media strips nearly everything — the honest answer is that there's no signal to report, not that the image must be real. This tool says that plainly instead of forcing a confident-sounding number out of an empty file.
AI Image Detector vs. other options
How Open Tools Library compares to desktop software and other online tools.
| Feature | Open Tools Library | Desktop software | Other online tools |
|---|---|---|---|
| Method | Real embedded metadata (C2PA, generation params, tags) | Varies by forensic tool | Usually a pixel classifier with a confidence score |
| Honesty about "no signal" | States it plainly | Varies | Often forces a percentage anyway |
| File privacy | Never uploaded | Stays local | Uploaded to a server |
| Reads SD generation recipe | Yes, when embedded | Rarely | Rarely |
| Price | Free, unlimited | Often paid (forensic suites) | Often free tier with limits |
Pro tips
- No finding at all is the most common result, since screenshots and social-media re-uploads strip nearly all metadata — that's not evidence the image is real, just that nothing survived.
- A camera make/model in EXIF is a positive lean toward "real photo," but EXIF fields can, in principle, be edited — treat it as a lean, not proof.
- Stable Diffusion's PNG text-chunk metadata is stripped by most social platforms and messaging apps on upload — check the original file if you have it, not a re-shared copy.
- A C2PA manifest's presence doesn't automatically mean "AI-generated" — camera makers and news organizations use the same standard to disclose real capture and edit history.
- For a genuinely important decision, treat this as one input, not a final answer — combine it with reverse image search and your own judgment.
Technical specs
- Formats checked
- .jpg, .jpeg, .png, .webp
- Signals checked
- C2PA Content Credentials, Stable Diffusion params, EXIF/XMP software tags, camera EXIF
- Pixel-based classification
- Not performed — metadata/provenance only
- Cryptographic C2PA verification
- Not performed — manifest presence and embedded text only
- Processing location
- 100% local, in your browser
Privacy & security
Checking whether a photo is AI-generated usually means uploading it to yet another server — which is exactly backwards for a photo you're already unsure about.
Every byte of the file is read and parsed locally in your browser — never uploaded, never seen by a server.
No account, no email, no login — just a file in, a report out.
Nothing about the file or the result is retained anywhere once you close the tab.
Equally private whether you're checking one photo or several, one after another.
Frequently asked questions
Is my photo uploaded anywhere?
No. The file is read and checked entirely in your browser — nothing is ever uploaded.
Does this run an AI model to guess if the image is fake?
No. It reads the file's own embedded metadata — C2PA Content Credentials, Stable Diffusion generation parameters, software/XMP tags, and EXIF — rather than running a pixel-based classifier, which is a fundamentally less reliable approach for this problem.
Can this catch every AI-generated image?
No — and no tool honestly can. If a generator doesn't embed metadata, or if the file has been re-saved, screenshotted, or stripped, there may be nothing left to find. This tool reports what's actually present, not a guess about what isn't.
What file types are supported?
JPG, PNG, and WEBP. PNG carries the richest metadata support (including Stable Diffusion generation parameters); JPEG and WEBP are checked for EXIF, XMP, and C2PA data.
Why does it show raw, technical-looking text sometimes?
For an embedded Content Credentials manifest, this tool shows the raw readable text found inside it rather than presenting an unverified structured summary as if it were certain — technical, but honest about exactly what was found.
Troubleshooting
It found nothing at all — does that mean the photo is real?
No. It means no AI-generation or camera-capture metadata survived in this specific file. Screenshots, re-saves, and most social-media uploads strip nearly all metadata regardless of whether the original was AI-generated or a real photo — absence of a signal isn't evidence either way.
It found camera EXIF data — does that guarantee it's a real photo?
It's a genuine lean toward "real," since AI generators essentially never produce convincing fake camera EXIF unless someone deliberately adds it. But EXIF fields can, in principle, be edited by anyone with the right tool, so treat it as evidence, not absolute proof.
Why doesn't this tool just give me a percentage like other AI detectors?
Because that percentage would be manufactured from nothing when no real evidence exists in the file — and even when a pixel classifier does run, its accuracy on real-world images (especially after any re-compression) is nowhere near reliable enough to present as a confident number. Showing exactly what was and wasn't found is the more honest option.
It found a C2PA Content Credentials manifest — is that fully verified?
This tool reassembles the embedded manifest data and shows what it contains, but doesn't perform full cryptographic signature-chain verification against C2PA's trust list. Treat manifest content as a strong lead worth taking seriously, not a certified result.
Related searches
Landed here looking for something worded a little differently? AI Image Detector covers all of these too:
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