ImgAuth analyzes images for signs of document tampering and AI generation, providing scores and visual evidence to support human review.

Published by ImgAuth

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Individuals and teams reviewing documents or images for signs of manipulation can use ImgAuth as a second check before deciding whether to trust or escalate a file. Its document workflow analyzes invoices, receipts, certificates, claims, statements, and scans for visual tampering such as replaced content or suspicious edits, then provides a confidence signal and heatmap highlighting regions for review. This can support finance, insurance, compliance, and onboarding checks. For portraits, scenery, products, artwork, and other supported images, ImgAuth evaluates whole-image signals associated with AI-generated content and returns a result, score, and review status. The portrait-focused option uses this same whole-image analysis; it is not a dedicated face-swap, deepfake, liveness, or identity check. ImgAuth’s results are signals for human review, not proof of authenticity or definitive evidence that an image was AI-generated.

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