Turn Documents into Structured Data — Binary Semantics IDP

Manual data entry and document chaos slow business. Binary Semantics’ Intelligent Document Processing (IDP) automates capture, classification and extraction from PDFs, scanned documents, images and emails to turn unstructured files into validated, structured data. Using advanced OCR, layout-agnostic ML models and NLP, the platform recognizes document types, pulls out key fields and preserves table relationships — even on irregular or handwritten forms. Built-in confidence scoring and human-in-the-loop review let teams focus only on exceptions while the system continuously learns from corrections. Validation rules, business logic and cross-document checks ensure extracted outputs meet enterprise requirements before they flow into ERPs, CRMs or analytics tools. With connectors and APIs, IDP accelerates finance closes, speeds onboarding and reduces operational cost. Secure storage, role-based access and audit trails ensure compliance and traceability. In short: remove manual friction, increase accuracy and unlock the data hidden in documents so downstream automation delivers real business value fast.