Fraud Detection API

Beyond never using humans-in-the-loop to read documents, Fraud Detection API creates a formidable defense against complex Fintech and CPG scams.

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Fraud detection API

Don’t Be a Fraud Statistic

  • 39%

    fraudulent documents are circulating

  • 55%

    are manually and digitally altered documents

  • $117K to $1.7B LOSS

    Fraud costs companies of all sizes anywhere from $117K to $1.7B of losses in revenue, profits, and permanently denigrated security and public image.

Watch demo: capture and extract with fraud detection

Process your docs in less time than it takes to read this.

See for yourself.

Document Types supported by Veryfi machine models.

from veryfi import Client
my_client = Client (). config_receipt ( "api-key" )
receipt_doc = my_client. doc_from_path ( "/path/to/receipt.jpg" )
parsed_receipt = receipt_doc. parse ( "receipt" )
Mobile Capture SDK
$ node server.js && veryfi listen
> Ready! Waiting for requests…
2022-09-04 13:54:57 [ 200 ] 2022-09-04 13:54:57 [200] receipt_data.created
2022-09-04 13:54:57 [ 200 ] charge.succeeded
2022-09-04 13:54:57 [ 200 ] receipt_data.succeeded

Customers immediately leverage Fraud Detection API.

At the moment of document capture using Veryfi Lens, Fraud Detection–using real-time signals checkers–bounces faulty documents and stop them from getting extractions and stops you from getting charged. Embedded into Veryfi OCR API, Fraud Detection flags fraudulent fields to stop theft of time and resources in their tracks.

How Fraud Detection API Works

Within Veryfi OCR API’s intelligent document processing, fraud detection plays a pivotal role in making the OCR technology not just smart but also vigilant. This synergy combines the precision of OCR with the ingenuity of AI, creating a multifaceted approach to catch even the most creative and elusive fraudulent activities. Fraud detection within Veryfi OCR API is a multi-stage process. Initially, the OCR component scans and extracts text and data from documents, invoices, receipts, and various forms of financial records with exceptional accuracy. This structured data is then meticulously analyzed by AI algorithms, which scrutinize every detail, from transaction amounts and dates to vendor information and customer names. The system cross-references this information with historical data and established patterns to identify anomalies and inconsistencies.

These anomalies could range from unauthorized transactions and manipulated figures to suspicious alterations in document details. By continuously learning and adapting, the AI component of Veryfi OCR API becomes increasingly adept at recognizing even the most sophisticated fraudulent attempts. The benefits of this integrated approach are manifold. Firstly, fraud detection significantly minimizes financial losses by identifying and preventing fraudulent transactions in real-time, mitigating risks for businesses and individuals. Secondly, it enhances compliance by ensuring that financial records are accurate and adhere to regulatory standards. Furthermore, it reduces the operational burden by automating the detection process, saving time and effort that would otherwise be spent on manual checks. Ultimately, the combination of OCR and fraud detection not only makes financial document processing intelligent but also fortifies it against the ever-evolving tactics of creative criminals, ensuring greater security and peace of mind for users.