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What is Fake Image Detector and why is it needed?

Alex Malyshev

What is Fake Image Detector and why is it needed? 

It’s not the people who commit fraud that incur the losses, but those who are defrauded. Almost $17 billion are lost to identity fraud every year in the US alone. Passports and ID cards make up 72% of all reported falsified documents. Fake documents are used for many nefarious purposes, such as human trafficking, money laundering, drug smuggling, and debt bondage. 

6th AML/CFT Directive 

The European Union is one of the most heavily targeted regions for falsified documents. The 6th AML/CFT Directive that came into force on June 3, 2021 aims to lower fraud in the EU by extending criminal liability for money laundering for such financial and legal entities:

  • auditors
  • accountants
  • tax advisors
  • notaries
  • independent legal professionals

Under the new directive, if a member of a company participates in any activity related to money laundering, then the financial or legal entity will be found guilty of the fraudulent activity. In other words, if an accountant or a lawyer who receives, accepts, and works with a falsified document will be criminally liable. 

How to identify manipulated images to protect yourself and your business? 

Fake Image Detector

The AI-powered Fake Image Detector can check popular file formats (PNG, JPEG, PDF, and others) for signs of manipulation and alerts when it detects any modifications, corruptions, inconsistencies with past behavior, or other anomalies. Fake Image Detector provides a clear answer to whether a file was tampered with or not.

What documents can be verified?

Any type of documents can be checked for authenticity:

  • passports, ID cards
  • financial documents
  • bank statements
  • receipts
  • invoices
  • business contracts

Other supported documents:

  • COVID-19 passports and PCR test results
  • pregnancy letters
  • police clearance certificates
  • education documents (diplomas)
  • work permits
  • proof of employment certificates and salary certificates
  • other documents

How to identify a manipulated image?

You upload a document for verification. The Fake Image Detector extracts and examines a file’s metadata that contains useful information, such as size, creation and modification dates. The tool also determines more complex parameters like the physical location, device, and software used to modify the file. 

The document authenticity verification software tests pixels to check for any signs of manipulation and forgery. The Fake Image Detector can detect the smallest changes, even to a single pixel. Image editing software leaves detectable traces invisible to a naked eye, but detectable by the AI-powered software. 

The Fake Image Detector answers the question ‘was the image manipulated in any way or not’. You decide how to use this information further.

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