High quality AI-powered document parsing and data extraction
Accurate document layout parsing, table and image extraction, OCR, and more
for document intelligence, ingestion for LLM-based apps, and RAG frameworks
Accurate document layout parsing, table and image extraction, OCR, and more
for document intelligence, ingestion for LLM-based apps, and RAG frameworks
Aryn's document parsing (DocParse) runs a compound deep learning AI model trained on 80k+ enterprise documents along with powerful post-processing steps. It's up to 6x more accurate and 5x cheaper than alternative systems, and has JSON or markdown output.
Supports over 30+ file formats including PDF and Microsoft Office
Document layout parsing with labeled bounding boxes by type (e.g. header, text, table...)
Scales to documents with thousands of pages
Supports OCR in 60+ languages
Complex tables with odd layouts, spanning rows, and lots of text? Trying to extract data from your documents? DocParse can handle it! It has best-in-class compound table extraction and LLM-powered data extraction to pull accurate information from documents.
Complex Tables
Preserve complex
table formatting
Data Extraction
Leverage GenAI to
analyze docs
Easily add DocParse to your document processing workflows with a few lines of code using the Aryn SDK. Or, use the Playground UI to visually inspect parsing and extraction.
Use sync or async APIs with the Aryn SDK
Use DocParse Playground UI to easily visualize parsing and extraction
Support for open source Sycamore document ETL library
Available as SaaS, private cloud, or on-prem deployment
The enterprise AI platform for analytics and search on all of your unstructured and structured data.