Screenshots Don't Lie (Except When They Do) How to Spot Manipulated Screenshots, Fake Receipts, and Doctored Chats Felix Patel A screenshot feels like proof because it looks finished. The bank balance is right there. The payment says "complete." The recruiter has a professional profile. The supplier sent a signed confirmation. The family member's name and photo appear at the top of the chat. But a screenshot can be genuine and still prove the wrong thing. It can be cropped, retouched, staged, copied from another transaction, generated inside a fake dashboard, or detached from the context that gives it meaning. Screenshots Don't Lie (Except When They Do) is a practical guide to slowing down that moment before a polished image turns into a bad decision. Instead of asking readers to become digital-forensics experts, the book teaches a repeatable verification habit: separate the claim from the image, identify what record would actually confirm the claim, and check through a channel the sender does not control. Inside, readers learn how to: - Distinguish visual authenticity from evidentiary value. - Recognise the limits of screenshots, chat captures, payment confirmations, balances, reviews, receipts, and cropped conversations. - Spot warning signs without treating a visual inconsistency as automatic proof of fraud. - Verify payments and account changes through independent records. - Handle suspicious supplier, marketplace, recruitment, romance, authority, and family-emergency messages. - Preserve useful evidence without creating unnecessary exposure. - Push back politely when someone pressures them to act before verification. - Respond after a suspected compromise, including the risk of follow-up recovery scams. - Apply the same verification principles to synthetic voices, deepfake video, and other increasingly convincing forms of impersonation. - Build practical household and workplace procedures that still function when people are tired, rushed, embarrassed, or frightened. The book also includes a reusable reference toolkit built around claim-to-source checks, evidence logs, reporting packets, callback rules, stopping rules, and simple verification routines. The central idea is deliberately modest: a convincing image should begin a check, not end one. For anyone who buys or sells online, handles payments, manages suppliers, helps relatives with digital accounts, works remotely, uses marketplaces, or simply wants a calmer way to judge what appears on a screen, this book offers a clear method for deciding when to pause and what to verify next. A screenshot may capture exactly what appeared on a screen. The harder question is whether the screen deserves your trust.