Image Authentication Platform
Check document fraud and real vs AI faces online
ImgAuth helps individuals and teams with image authentication. Upload a document, invoice, portrait, selfie, or avatar and get visual evidence in seconds.
See what the platform can review today
Homepage visuals should make the two current flagship capabilities immediately clear: document fraud detection and real or AI face analysis.
Document fraud preview
Review multiple sample documents with heatmap-based outputs that highlight suspicious regions in certificates, invoices, receipts, and scans.
Real or AI face preview
Sample portraits show the type of face-centric inputs the platform reviews today, from avatars and selfies to profile photos that may contain fake-face or deepfake signals.
What is ImgAuth?
ImgAuth is an image authentication platform powered by AI. It is built for image authentication workflows where you need to review whether an uploaded image looks trustworthy, suspicious, manipulated, or in need of closer inspection.
Today the platform is centered on two flagship image authentication workflows: document fraud detection and real or AI face analysis. Over time, ImgAuth can expand into more image authentication and image trust review workflows across documents, faces, and other visual verification use cases.
Why this platform framing matters
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A platform layer above individual detection tools
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Built around visual trust review, not opaque pass/fail outputs
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Designed for both direct self-serve checks and team workflows
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Expanding over time into more image authentication workflows
Two flagship workflows on one image authentication platform
Use ImgAuth when you need a direct answer on suspicious document images or face-centric content. Each workflow is optimized for a different image authentication job.
Document Fraud Detection
Check certificates, invoices, receipts, claims, and scans for visual tampering. ImgAuth returns a tampering signal, confidence score, and forged-region heatmap for review.
Certificates, invoices, receipts, claim files, statements, and compliance scans.
Tampering judgment, confidence signal, suspicious regions, and heatmap-backed evidence.
Government-record lookup, OCR truth validation, or legal authenticity certification.
Real or AI Face
Check whether a portrait, selfie, profile image, or avatar looks more like a real face or an AI-generated one. Surface fake face, deepfake, face swap, and manipulated-face clues.
Portraits, selfies, avatars, creator photos, profile images, and moderation review.
Real-vs-AI judgment, forgery score, and manipulated-face signals for faster review.
Documents, screenshots, landscapes, or generic non-face image detection.
How ImgAuth works
The platform flow is intentionally simple: choose the right detector, upload the image, and review the resulting evidence.
Choose a workflow
Start with document fraud detection or real or AI face depending on what you need to verify.
Upload your image
Upload a document, portrait, selfie, receipt, invoice, or other supported image input.
Review the result
Use the model output, confidence signals, and heatmap evidence to make the next decision.
Where people and teams use ImgAuth
ImgAuth is designed for direct self-serve checks and structured review workflows where image trust matters.
Personal trust checks
Use ImgAuth when you want a fast second opinion on a document image, invoice, portrait, or avatar before you trust it.
KYC and compliance review
Help teams review onboarding documents, certificates, statements, and submitted identity-related images with more evidence.
Insurance, claims, and invoices
Add visual tampering review to invoices, receipts, claim documents, and supporting files before approval.
Content moderation and profile screening
Screen portraits, profile photos, and avatars for fake-face or manipulated-face signals in trust and safety workflows.
More image authentication tools are coming
ImgAuth is intentionally broader than any one detector. Today the platform centers on document fraud detection and real or AI face analysis; future workflows can extend into additional image trust and authenticity review use cases.
Trusted for image trust review
Individuals and teams use ImgAuth for document and face authenticity checks
What users say about ImgAuth
Feedback from people and teams using the platform for image trust review
"Document fraud detection gives our team a much better first-pass review on invoices and supporting files. The heatmap makes it easier to explain why something needs a second look."
"The real or AI face workflow is useful when we need a quick signal on avatars and suspicious profile photos. It fits well into moderation review without adding a heavy process."
"I use ImgAuth when a document image or portrait feels off and I want a second opinion before I trust it. It is straightforward and fast enough to use on demand."
"What stands out is the platform direction. We can use document review today and see how face authenticity fits alongside it, instead of stitching separate tools together."
Earn free credits
Share ImgAuth with other people or teams that need image trust review and earn credits when they sign up successfully.
Share your link
Get your unique referral link from your account dashboard and send it to others.
They try ImgAuth
New users can explore the platform with the included free credits.
You earn credits
Each successful signup earns you additional credits for future checks.
Frequently Asked Questions
These answers explain what ImgAuth is, what its two flagship workflows do, and how the platform fits personal and team-based trust review.
ImgAuth is an image authentication platform. It helps individuals and teams review whether an uploaded image looks trustworthy by offering specialized workflows such as document fraud detection and real or AI face analysis.
It is both, but the broader framing is more accurate: ImgAuth is an image authentication platform, and document fraud detection is one of its flagship workflows. The other current flagship workflow is real or AI face analysis.
Today ImgAuth focuses on two core jobs: checking document images for visual tampering and checking face-centric images to see whether they look more like real faces or AI-generated faces.
Document fraud detection is the process of checking certificates, invoices, receipts, statements, claims, and scans for visual signs of tampering such as pasted regions, replaced content, or suspicious edited areas.
Real or AI face means checking whether a portrait, selfie, avatar, or profile image looks more like a real face photo or an AI-generated or manipulated face image.
ImgAuth supports common image formats such as JPG, PNG, and JPEG. The document workflow also supports PDFs through the dedicated PDF flow, while the real or AI face workflow works best on portrait or face-centric image inputs.
Both. Individuals can use ImgAuth for direct self-serve checks, while businesses can use it in KYC, compliance, insurance, moderation, and other structured trust-review workflows.
Yes. ImgAuth offers API and bulk-processing options for higher-volume workflows. You can review the API documentation or contact the team for business usage and SLA-backed plans.
No. Uploaded files are processed for the requested analysis only and are not used to train public models.
The platform direction is intentionally broader than the current two workflows. Over time, ImgAuth may add more image-authentication and image-trust-review tools around documents, faces, and related verification jobs.
Start with the workflow that matches your verification task
Use document fraud detection for certificates, invoices, receipts, and scans. Use real or AI face when you need to review portraits, avatars, and profile images.