Structured Data Parsing for Bank Statements

Our advanced OCR and Machine Learning technology automatically convert bank statement documents into structured data sets. It also performs anti-fraud checks to reduce risk during data collection enabling the identification of anomalies that humans may overlook.

Supported Documents

• Bank statements (ITA/GER/UK)

Here are the key benefits of our solution:

• Our OCR solution allows users to access a wider range of financial institutions and customizable embedded checks.
• Our parsing solutions streamline data collection and verification tasks, leading to cost savings for back-office operations and improved efficiency.
• Standardize bank statements into a JSON file for consistent data treatment and convert them into datasets to facilitate checks and analysis.
• Using cross-checks, we build configurable rules to detect discrepancies between different documents, ensuring the integrity of information and reducing the risk of unwelcome surprises.
• For “original” PDFs, regardless of the document type, our data and metadata analysis detect any changes, detects fraud attempts, and provides unparalleled security.
• API-based architecture that enables smooth integration with your existing programs.

Lastly, if you need to cross-check various document types, our company can handle it effectively. We offer specialized support for parsing, analyzing, and extracting data from: