Aryn supports over 30 document formats including PDFs, Word documents, PowerPoint presentations, HTML, and images. The platform uses vision AI models to accurately parse documents with complex layouts, tables, images, and multiple languages.

Aryn achieves over 95% parsing accuracy across millions of documents and 98%+ accuracy for property extraction in real-world use cases. The platform handles challenging content like nested tables, multi-column layouts, and scanned documents with OCR.

A DocSet is a storage container in Aryn that organizes related documents together. Your AI agent can create DocSets with custom schemas, add documents for processing, and query across all documents in a collection using natural language.

Yes. Aryn supports natural language queries across document collections. The agent can generate query plans to preview how questions will be processed, then execute queries to extract insights like revenue breakdowns by region from financial reports.

Aryn uses purpose-built vision AI models trained on over 80,000 enterprise documents to detect and extract tables accurately. The platform preserves table structure, handles merged cells, and outputs data in structured JSON or Markdown format.

Aryn Cloud maintains SOC2 Type 2 and ISO 27001 compliance certifications. For sensitive data, Aryn offers self-managed deployment options that run in your VPC, on-premises, or air-gapped environments with zero CVE exposure.

Yes. The agent can list and monitor all asynchronous processing tasks in your Aryn account. This includes checking status of document uploads, parsing operations, and extraction jobs to provide real-time progress updates during conversations.

Aryn claims up to 6x better accuracy and 5x faster processing than alternatives, with 5x lower cost compared to hyperscaler solutions. The platform combines document parsing with deep analytics, enabling complex queries across millions of documents.