How to Verify an Image Online: A Practical 7-Step Check

A practical guide to checking whether an online image is trustworthy using source checks, reverse search, context, provenance, Content Credentials and forensic clues.

A practical guide to checking whether an online image is trustworthy using source checks, reverse search, context, provenance, Content Credentials and forensic clues.

What C2PA and Content Credentials actually tell you about the origin and editing history of digital media — and the important things they do not prove.

AI and deepfake detectors can be useful, but their scores are not proof. Learn why false positives, compression, unseen generators and context matter when interpreting detector results.

A practical workflow for checking whether an online video is trustworthy using source verification, key-frame search, context, provenance, audio checks and detector results.

The future of digital trust is shifting from asking whether content looks fake to asking whether its origin can be proven. Learn how provenance, Content Credentials and authenticity signals are changing what trust means online.

No single detector can prove an image is authentic. This explainer introduces a five-layer approach combining provenance, watermarking, fingerprinting, forensic detection and human review.

Deepfakes are no longer abstract. From public figures to teenagers, synthetic media can be used for impersonation, fraud and abuse. This guide explains the risk in plain language and what people can do when they encounter it.

AI can now generate convincing customers, reviews and promotional content. Learn how fake reviews and synthetic identities are changing online shopping — and the practical checks consumers can use before trusting what they see.

How can you tell whether a photo is real? A plain-English guide to AI labels, Content Credentials, watermarking and provenance — and why proving origin matters more than simply spotting visual mistakes.