Read. Understand. Extract.
High-accuracy optical character recognition for a wide range of document types, including handwritten text, low-resolution scans, and multi-language documents.
A self-improving machine learning module that learns the layout of specific document templates, enabling increasingly accurate data extraction over time without manual rule creation.
Automatically identifies and extracts key data fields from documents — such as invoice numbers, dates, totals, and party names — and maps them to structured output formats.
Natively supports a wide variety of input formats, including PDF, TIFF, JPEG, PNG, Word, and Excel documents.
Automatically classifies incoming documents by type and routes them to the appropriate processing workflow, eliminating manual sorting.
Maintains a complete, tamper-proof audit trail of every document processed, including the original file, extracted data, and any human review actions, for compliance and security.
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