What is Document Parser by Contextual AI?
A document parser designed for RAG use cases, which achieves superior accuracy and reliability by excelling in the following areas: 1. Document-level understanding 2. Minimized hallucinations 3. Superior handling of complex modalities
Problem
Users previously relied on manual or basic document parsing tools for RAG systems, leading to inaccurate extraction, hallucinations, and poor handling of complex document formats.
Solution
A multimodal document parser tool designed for RAG systems, enabling users to extract structured data from complex documents (e.g., tables, charts, mixed layouts) with high accuracy and minimal hallucinations.
Customers
AI engineers, data scientists, and developers building RAG-powered applications that require reliable document understanding.
Unique Features
Combines vision-language models for multimodal parsing, enforces document-level consistency to reduce hallucinations, and handles diverse layouts (PDFs, scans, images) with structured outputs.
User Comments
Saves hours on data preprocessing
Handles financial reports other parsers fail on
Maintains table structures perfectly
Reduces RAG pipeline errors
Easy API integration
Traction
Launched 2 months ago on Product Hunt (200+ upvotes), used by 50+ companies including fintech startups, founder has 1.2K followers on LinkedIn.
Market Size
The global intelligent document processing market is projected to reach $5.2 billion by 2027 (MarketsandMarkets).
