Reducto | AI document parsing & extraction software
Reducto
Introduction
Reducto is a specialized AI document ingestion platform designed to transform complex, unstructured documents into structured, LLM-ready data. It distinguishes itself with a ‘human-like’ reading approach, combining traditional computer vision with proprietary vision-language models (VLMs) and a multi-pass ‘Agentic OCR’ system. This allows Reducto to handle the most difficult edge cases that typical OCR fails on, such as nested tables, dense financial charts, redlined legal PDFs, and handwritten forms.
Use Cases
High-Fidelity Financial Extraction
Extract decimal-level data from brokerage statements, investor decks, and SEC filings, preserving the structure of multi-level tables and complex charts.
Legal Due Diligence Automation
Analyze 100k+ active contracts in parallel, surfacing specific definitions (e.g., ‘Confidential Information’) and obligations with evidence-level citations.
Healthcare Records Processing
Structure lab reports and medical forms into HIPAA-compliant clinical data for downstream medical AI agents.
Insurance Claims Management
Automate the intake of ACORD forms and policy filings, extracting data with schema-level precision to accelerate review cycles.
Large-Scale RAG Ingestion
Construct massive knowledge bases by parsing hundreds of thousands of documents into clean, chunked, and optimized text for vector databases.
Features & Benefits
Agentic OCR & Vision-Language Models
A multi-pass system where VLMs review and correct OCR outputs in real-time to ensure accuracy on low-quality scans or complex layouts.
Advanced Chart & Table Extraction
Specifically trained models that can ‘replot’ graphs to verify data and extract structured text from line graphs and visual charts.
Audit-Grade Numeric Citations
Links every extracted value back to its exact cell, table, or line in the original document for traceable and defensible outputs.
Edit API & Dynamic Form Filling
Automatically detects and fills blanks, tables, and checkboxes without requiring pre-defined templates or bounding boxes.
Intelligent Document Splitting
Uses layout-aware heuristics to automatically separate long forms or multi-document files into individually useful units.
Superior Accuracy on ‘Messy’ Files
Consistently outperforms general cloud services (like Google Document AI) on handwriting, redlines, and complex table structures.
Fast Developer Integration
Designed as a plug-and-play ingestion layer that can be integrated into production pipelines in less than a week.
Enterprise Deployment Flexibility
Offers VPC and on-premise deployment options for organizations with strict security, compliance, or data residency requirements.
Cons
Focused Scope
Primarily serves as an ingestion/parsing layer; teams requiring end-to-end human-in-the-loop workflow management may need to integrate it with other tools.
Higher Technical Entry
While easy to use, the platform is optimized for engineering teams building production AI, rather than casual business users.
