Intelligent Document Processing

A no-code, AI-powered intelligent document processing platform that ingests unstructured documents of any format, extracts structured data using large language models, and delivers outputs via API, ETL pipelines, or direct database integration — eliminating the need for templates, training data, or manual coding.

A production-ready API platform that converts any document — including PDFs, dense tables, forms, and multi-page files — into accurate, structured data with full auditability, bounding-box citations, confidence scoring, and schema-driven field extraction for downstream workflows, RAG, and compliance tasks.

Bem is an intelligent document processing platform that converts unstructured documents into structured JSON via composable, versioned functions — including extract, classify, split, join, enrich, and payload shaping — with built-in accuracy metrics, human-in-the-loop review, model fine-tuning, and drift detection for production-grade reliability.

Rossum's AI-powered intelligent document processing platform that reads, classifies, extracts, validates, and routes data from transactional documents using a proprietary transactional LLM, delivering end-to-end automation from email ingestion through ERP integration with human-in-the-loop exception handling.

Laiye IDP (Intelligent Document Processing) is a platform powered by OCR, NLP, and LLMs offering six core capabilities — general recognition, invoice recognition, document extraction, document classification, document comparison, and document verification — to unlock value from unstructured enterprise data across finance, legal, and medical scenarios.

A high-performance OCR and document processing API that enables developers to integrate reliable, hallucination-free data extraction from business documents directly into automation workflows using REST endpoints and SDKs in Python, C#, TypeScript, and Java.