Extract data from complex documents with high accuracy using local AI that keeps sensitive information entirely within your own private infrastructure.
Aryn
Structure unstructured data at scale using vision AI models and agentic processing to automate complex document parsing for RAG frameworks and AI applications.
Free plan available
$2/1000 pages
About Aryn
Aryn is an AI-powered document intelligence platform designed to bridge the gap between messy, unstructured enterprise data and structured systems. At its core is DocParse, a service that utilizes vision AI and agentic reasoning to extract information from complex documents including PDFs, tables, and images. Unlike traditional OCR, Aryn treats document processing as a dataflow, allowing users to convert diverse file formats into clean JSON, HTML, or Markdown. The tool is built specifically to handle the large percentage of enterprise data that cannot be easily loaded into traditional data warehouses or big data systems. The platform operates through a compound AI model that manages document segmentation, optical character recognition (OCR), and semantic property extraction. It supports over 33 different document types and maintains high accuracy—over 95% for parsing and 98% for extraction—even when dealing with complex layouts, nested fields, or repeated values. A key component of the ecosystem is Sycamore, an open-source agentic document ETL engine that enables developers to build custom data pipelines. Users can leverage the Aryn SDK or a web-based UI to automate workflows, including intelligent chunking for RAG and vision-based table extraction that preserves formatting. Aryn is primarily built for data teams, software developers, and business units in highly regulated or data-intensive industries such as insurance and finance. For instance, underwriting operations use it to eliminate manual data entry from submission intakes, while AI developers integrate it into platforms like DataRobot to build more reliable agentic workflows. Because it offers flexible deployment options—including VPC, on-premises, and air-gapped environments—it is particularly suitable for enterprise organizations that must comply with strict security standards like ISO27001 and SOC2 Type 2. What sets Aryn apart is its agentic approach to document processing. Instead of a linear parser, it uses an intelligent engine that can reason about document structures, allowing it to handle inconsistent or messy files that typically break standard automation tools. It provides an unstructured data warehouse experience where queries are verifiable and editable, ensuring auditability at scale. Furthermore, the combination of a high-performance SaaS API and the ability to run hardened, zero-CVE containers in private environments gives it a level of versatility for handling sensitive enterprise information.
Aryn pros & cons
Pros
- Achieves high parsing accuracy of over 95% and property extraction accuracy of over 98%.
- Supports a wide range of over 33 document types including complex PDF and Microsoft Office files.
- Provides enterprise-grade security with ISO27001, SOC2 Type 2 compliance, and air-gapped deployment options.
- Utilizes an agentic reasoning engine that handles messy and inconsistent documents better than linear parsers.
- Integrates seamlessly with the open-source Sycamore framework for building custom document dataflows.
Cons
- The Free Trial plan is time-limited to a three-month duration.
- Advanced features like vision OCR and agentic property extraction are excluded from the free tier.
- Free Trial document storage is restricted by a 30-day retention policy.
- Enterprise-level security features like air-gapped deployments require a custom contract.
Aryn use cases
- Insurance underwriters can automate the extraction of data from messy submission documents to reduce manual entry time from hours to minutes.
- AI developers can use the Aryn SDK to create structured data feeds for RAG frameworks, improving the reliability of LLM-based agents.
- Data engineering teams can build scalable ETL pipelines to transform millions of unstructured documents into searchable database records.
- Enterprise compliance teams can process sensitive data within their own VPC or air-gapped environment using zero-CVE containers.
- Business analysts can convert complex PDF tables into Markdown or JSON for use in automated reporting and analytics systems.
Aryn features
- multi-language support
- optical character recognition (ocr)
- table and image extraction
- hybrid and vector search
- sycamore etl integration
- vision ai models
- agentic property extraction
- docparse ai parsing
Aryn pricing
Is Aryn free? Yes, Aryn has a free plan, and paid plans start at $2 / 1000 pages.
Free Trial (3 months)
Free
- 10,000 pages per month
- Store up to 1,000 documents
- Support for 30+ formats
- Table and image extraction
- Optical character recognition (OCR)
- Multi-language support
- Hybrid and vector search
- Sycamore ETL integration
- ISO27001/SOC2 compliance
Pay As You Go
$2 / 1000 pages
- Unlimited pages
- Store up to 20,000 documents
- Asynchronous API for parsing
- Agentic Property Extraction
- Zero data retention agreements
- Image summarization
- Vision OCR and VLM support
- No storage retention limit
Enterprise
Price varies
- VPC and on-premises deployment
- Air gapped deployments
- Hardened 0-CVE containers
- Custom SLAs
- Dedicated Slack channel
- Custom document pipelines
- SAML authentication
- Onboarding syncs
Aryn FAQs
What is DocParse?
DocParse is an AI-powered service for high-accuracy document parsing, table extraction, and property extraction. It converts unstructured files into structured formats like JSON or Markdown for use in RAG frameworks and analytics databases.
What file formats does Aryn support?
Aryn supports over 30 different file formats, including PDF and Microsoft Office files. It uses specialized vision models and OCR to process complex document segmentations and layouts effectively.
Can I deploy Aryn in my own VPC or on-premises?
Yes, Aryn offers flexible deployment options including VPC, on-premises, and air-gapped environments. These options are provided through the Enterprise plan and utilize hardened, zero-CVE containers.
Does the tool support table extraction?
Yes, DocParse includes purpose-built AI models for extracting tables with complex formatting. Extracted tables can be outputted in either JSON or Markdown format at no extra cost.
How do I integrate Aryn with Sycamore ETL?
You can use DocParse directly within the 'Partition' transform of a Sycamore ETL pipeline. This allows you to perform document segmentation and OCR before running additional data transforms.
Ratings & reviews
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