AI Fake Document Detective AI Fake Document Detective
Veryfi's OCR API can sniff out those digitally concocted receipts faster than you can say "expense reimbursement." Whether it's a ChatGPT masterpiece, a Stable Diffusion creation, MidJourney magic, GAN trickery, or a DALL-E special - our AI detective is on it.
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How Veryfi Is Winning the Battle Against Digital FraudHow Veryfi Is Winning the Battle Against Digital Fraud
Artificial intelligence has unleashed a new era of sophisticated document fraud, with models like GPT-4o and Stable Diffusion generating fake receipts that are increasingly difficult to distinguish from genuine ones. According to recent data, expense fraud costs businesses an estimated $2.9 billion annually in the US alone, with AI-generated documents accounting for nearly 15% of all detected fraudulent claims in 2024—a figure that’s grown 300% since 2022.
Veryfi’s cutting-edge OCR and fraud detection technology stands as the definitive barrier against this rising threat, analyzing over 100 distinct pattern indicators to identify AI forgeries with 99.7% accuracy. By detecting subtle inconsistencies in formatting, mathematical errors, and digital artifacts invisible to human reviewers, Veryfi’s platform protects businesses from to fraudulent expense claims and fake bills. As AI image generation capabilities continue to advance, Veryfi’s real-time detection algorithms evolve in parallel, providing the financial safeguards that modern organizations require.
“Protect your bottom line: AI document fraud is on the rise. 98% of potential losses recovered by businesses using Veryfi’s ML advanced fraud detective.”
Detect AI-Generated Documents in SecondsDetect AI-Generated Documents in Seconds
With just a few lines of code, any business can integrate Veryfi’s powerful fraud detection capabilities. The simple JSON response shown here represents Veryfi’s AI detection at work—identifying fraudulent documents with a 0.99 confidence score. Implement this API into your expense management app, bill pay solution and other fintech apps to stop digital document fraud before it impacts your bottom line. Email sales@veryfi.com
Don’t let synthetic receipts create real losses!Don’t let synthetic receipts create real losses!
76% of businesses can’t detect AI-generated expense fraud. Companies lose an average of $40,000 annually to fraudulent expense claims. AI-generated receipts evade detection by traditional systems 4× more often than manual fakes.
Get serious about the products you build and integrate Veryfi’s Fraud Detection services to up your game and stand out from the rest!
Veryfi’s Fraud Detection ServiceVeryfi’s Fraud Detection Service
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Document Velocity
Veryfi’s Fraud Intelligence incorporates Document Velocity analysis to detect suspicious submission patterns in real-time. This feature monitors the frequency and volume of document submissions from individual devices across various timeframes. By employing statistical modeling and machine learning algorithms, the system identifies abnormal spikes or consistently high submission rates from specific sources. Such elevated velocity is a strong indicator of fraudulent activity, with nearly 100% correlation to fraud attempts. This proactive approach allows for immediate flagging of potentially fraudulent submissions, enabling swift intervention and significantly reducing the risk of large-scale fraud operations.
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Manipulated Handwriting
Veryfi’s Fraud Detection system uses advanced image processing and machine learning to identify manipulated handwriting in real-time. It analyzes stroke consistency, pressure variations, and ink properties through contour analysis and spectral techniques. The system employs Natural Language Processing to detect semantic inconsistencies. By comparing features against genuine samples and known fraud patterns, it can identify various handwriting manipulations, from simple additions to complex forgeries, ensuring real-time document integrity.
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Manipulated Photos
Veryfi’s Fraud Detection system uses advanced computer vision and machine learning to identify manipulated photos in real-time. For digital alterations, it employs error level analysis, noise detection, and deep learning to spot pixel irregularities and metadata anomalies. Physical manipulations are detected through adaptive thresholding and forensic analysis of handwriting and ink properties. The system cross-references findings against a database of known fraud patterns, enabling robust detection of both subtle and overt manipulations across various document types, countering sophisticated fraud attempts in real-time.
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Duplicate Document
Fraud Intelligence employs sophisticated algorithms to analyze image similarity and text content, enabling it to identify duplicate submissions of previously processed documents. This system not only detects current instances of fraud but also proactively mitigates future risks associated with each unique fraud case. The technology utilizes a meta.is_duplicate field to flag and track these duplicate entries. This approach ensures a comprehensive defense against both repeated and evolving fraud attempts, enhancing overall security and integrity in document processing.
