News and Viral Images
Review images circulating without a reliable source before publishing or resharing them.
Fake Image Detector
Upload an image online. Review whether it looks AI-generated, manipulated, or likely authentic with clear supporting signals.
Content
Drag & drop or upload an image
JPG · JPEG · PNG · WEBP · max 10 MB
Detected then deleted · Reports are independently verifiable
Result
Upload an image to start
Drop a file on the left, or pick one of the sample images.
Try one of our sample images
Know for Sure. Is It AI or Human?
Uncover the truth behind any text. Use our free AI detector to instantly analyze and verify whether content is human-written or AI-generated.
Top 3
AI Image Detection Tool
500K+
Images Checked Monthly
4.9
Average User Rating
Free Fake Image Detection Online
Run a quick Basic Scan online with a JPG, JPEG, PNG, or WebP image up to 10 MB. Start with your own file or try a sample image before reviewing a real case.
A Clear Fake-or-Real Review
See a Real-to-AI scale, an overall verdict, AI probability, and human probability. Use the result to decide what needs closer inspection rather than treating one score as final proof.
Deeper Evidence When It Matters
Switch to Advanced Scan for forensic context such as available AI watermark, C2PA provenance, EXIF metadata, file information, model version, and a report ID.
How to Use the Fake Image Detector
Step 1. Upload an Image
Drag and drop a supported image, choose one from your device, or open a sample to see how image fake detection works.
Step 2. Choose a Scan Mode
Use Basic Scan for quick triage or Advanced Scan when the image needs deeper provenance and metadata review.
Step 3. Review the Evidence
Read the verdict, probability scale, and available evidence. Compare the result with the source, context, and original file before making a high-stakes decision.
Where Image Fake Detection Helps
Check suspicious visuals when authenticity could affect trust, money, identity, publication, or moderation.
Product Listings
Inspect polished product photos and seller uploads when the visuals do not match the listing context.
Receipts and Payment Proof
Look for synthetic or manipulated signals in receipts, invoices, and payment screenshots before approval.
Profiles and Avatars
Check profile pictures and identity-style images that may have been generated or heavily altered.
Creative Portfolios
Review submitted artwork and design samples when authorship or disclosure matters.
Social Media Moderation
Triage suspicious posts and user uploads, then escalate uncertain results for human review.
Why Use Lynote for Image Fake Detection
Probability-Based Results
Read AI and human probability on a clear scale instead of relying on a vague visual impression.
Basic and Advanced Modes
Start with a fast Basic Scan, then use Advanced Scan when a decision needs more evidence.
Watermark Evidence
See whether available AI watermark signals are detected while remembering that many generators embed no watermark.
C2PA Provenance Context
Check whether standardized content credentials are present and use them as context, not conclusive proof.
EXIF Metadata Review
Inspect available file metadata and note when camera or creator information is missing, partial, or inconsistent.
Detailed File Information
Document dimensions, file size, MIME type, color space, channels, and density in a deeper review.
Shareable Review Trail
Use available sharing and PDF report options to discuss findings with editors, clients, or review teams.
Processed Then Deleted
Uploaded images are processed for detection and then deleted, supporting privacy-conscious review workflows.
Who Uses a Fake Image Detector?
Journalists and Fact-Checkers
Review sourced and viral images before publication while documenting signals that require follow-up.
Marketplace Review Teams
Inspect product photos, receipts, and seller evidence before approving a listing or claim.
Trust and Safety Analysts
Triage profile pictures, screenshots, and user uploads during moderation investigations.
Editors and Content Teams
Check third-party visuals before they appear in articles, campaigns, or branded social posts.
Educators and Reviewers
Assess visual assignments and presentation assets without treating a detector result as final proof.
Creators and Agencies
Review incoming artwork, portfolio samples, and campaign assets when origin and disclosure matter.
How Teams Use Lynote for Image Review
Maya R.
Visual News Editor
A contributor sent a dramatic image with no clear source. The probability result helped me decide to request the original file before publication.
Colin B.
Marketplace Operations Lead
We use Advanced Scan when product photos and payment screenshots need more context than a quick visual check can provide.
Serena L.
Brand Content Manager
The Real-to-AI scale is easy to explain to teammates, and the evidence section keeps us from overreacting to one number.
David K.
Digital Researcher
I value the caution around missing watermarks and metadata. The tool gives me leads to investigate rather than pretending to deliver absolute proof.
Nadia P.
Academic Reviewer
For visual assignments, I compare the result with drafts and student context. It supports a fairer conversation than judging from appearance alone.
Evan T.
Creative Operations Manager
A PDF report gives our agency a practical record when we need to discuss questionable assets with a vendor or client.
Fake Image Detector FAQ
Answers about image fake detection, scan modes, supported files, privacy, and interpreting uncertain results.
A fake image detector reviews visual and file signals to estimate whether an image may be AI-generated, manipulated, or likely authentic. It provides evidence for review, not definitive proof.
Upload the image, run Basic or Advanced Scan, and review the probability scale and available evidence. Also check the source, context, and original file.
Basic Scan provides a free online workflow. Advanced Scan is a Pro mode for deeper forensic context and report features.
Basic Scan is designed for quick detection. Advanced Scan adds deeper evidence such as available watermark, C2PA, EXIF, file information, and reporting details.
No. Compression, screenshots, editing, and new generation methods can affect results. Combine detector signals with human judgment.
Yes, but heavy compression or low resolution may reduce useful evidence. Upload the clearest available version whenever possible.
You can upload JPG, JPEG, PNG, or WebP images up to 10 MB.
The image is processed for detection and then deleted. Avoid uploading material you are not authorized to review.
It can surface signals that support review of generated or manipulated images, but it cannot prove every edit or identify every editing method.
Yes. These files can be reviewed for suspicious signals, but decisions involving identity or money should include independent verification.
Yes. Use the result as an initial signal, then review account history, source context, and other available evidence.
Request the original file, compare known sources, inspect context, and use a deeper review before approving, rejecting, or accusing anyone.
More Tools to Check and Understand Images
Check image authenticity, inspect watermarks, ask questions about visuals, summarize images, review AI-written text, or prepare files for sharing.
