Downloaded from WhatsApp or social media
Platforms often resize images and strip metadata. A result can still help with triage, but use the original file when available and treat weak signals cautiously.
Check a compressed imageFree AI Image Detector
Is this photo AI-generated? Review provenance, metadata hints and visual evidence together.
Free, no signup, with secure 7-day retention and clear uncertainty.
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Image · Drop files or select multiple to begin bulk analysis
Image
File size limit: 50MB (JPG, PNG, WEBP)
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Add analyses
Image · Drop files or select multiple to begin bulk analysis
Image
File size limit: 50MB (JPG, PNG, WEBP)
Local C2PA CheckOriginal file provenance
Layered EvidenceProvenance + metadata + AI
7-Day RetentionThen automatically deleted
Start with the file you actually have
Check a suspicious image in context
Compression, screenshots and missing Content Credentials change what can be concluded. Choose the closest situation below, then upload the best available file. DeepFakeCheck keeps provenance, metadata, pixel and visual signals separate instead of turning one missing signal into proof.
Content Credentials are missing
No C2PA manifest does not mean an image is fake. Many cameras, editors and platforms do not preserve credentials, so the other evidence layers remain important.
Review the available evidenceNeed a private first-pass check
No signup is required. Successfully analyzed content is retained securely for up to 7 days to improve detection quality, then automatically deleted. Results are review evidence, not an authenticity certificate.
Start an image checkAI Image Detector — Is This Photo AI-Generated?
DeepFakeCheck's AI image detector helps you review whether a photo may have been generated or edited by AI. Upload a JPG, PNG, or WebP file (up to 50 MB) to inspect Content Credentials, pixel signals and visual evidence. No signup is required; service usage limits apply, and results are triage evidence rather than proof of authenticity.
How AI image detection works here
We separate available evidence into up to three layers. Each layer catches a different class of AI-generated images, and unavailable signals are not treated as negative evidence:
- C2PA and metadata inspection. The original file is checked locally for signed Content Credentials. Validity, signer trust and declared source are shown separately. Unsigned EXIF or XMP strings are only hints and never trigger an automatic AI verdict.
- Pixel-level artifact analysis. A dedicated image detector can add a separate pixel signal from the original upload. Compression and resizing can erase this signal, so a low detector score never proves that an image is real.
- Compositional reasoning. The model also evaluates whether the image as a whole "makes sense" — physically implausible compositions are a common giveaway for Midjourney and Sora.
What kinds of AI images we can detect
The analysis looks for patterns associated with common generators such as Midjourney, DALL·E, Stable Diffusion, Flux, Firefly and Imagen. Coverage varies by generator and editing history. Screenshots, heavy JPEG compression and social-platform resizing remove important forensic traces and should be treated as lower-confidence inputs.
Common use cases for the image detector
- Journalists and fact-checkers verifying whether a viral photo on X or Telegram is real before publishing.
- Recruiters and HR teams screening profile photos for AI-generated headshots used in fake applications.
- Online dating users checking whether a match's photos look too perfect — AI-generated faces are now a common catfishing tool.
- E-commerce trust and safety teams spotting AI-generated product images uploaded by sellers.
- Educators and students distinguishing real reference images from AI-generated illustrations in research and assignments.
Image detection FAQ
How accurate is the AI image detector? There is no honest single accuracy number across generators, edits and platforms. Original files preserve the most evidence; heavily compressed, screenshotted or photographed-from-a-screen images are much harder. Always review the independent evidence and uncertainty instead of relying on the score alone.
Can it detect AI face swaps in photos? It may surface face-boundary or lighting inconsistencies, but subtle face swaps can evade automated detectors. Use the result for triage and seek specialist review for high-stakes cases.
Does it work on screenshots? It works on screenshots, but the signal is weaker. If you have the original file, use that instead — uncompressed PNG or original JPEG gives the best result.
What if Content Credentials are missing? Missing C2PA data is not evidence that an image is fake. The file may never have contained a manifest, or an editor, screenshot or social platform may have removed it. Review the remaining evidence layers and seek the original file when the decision is high stakes.
How should I check an image downloaded from WhatsApp or social media? Upload the downloaded copy for an initial review, but expect lower confidence because resizing and recompression can remove provenance, metadata and pixel detail. If possible, compare the result with the original camera or export file.
Will my image be stored? Analysis content is encrypted and retained for up to 7 days to evaluate and improve detection quality, then automatically deleted.
How is the result structured? Signed provenance, unsigned metadata hints, dedicated pixel signals and visual-model reasoning remain separate. One weak or missing signal is never presented as proof that the image is authentic.