Unstract [EU]- Agentic Document Processing & Extraction Platform

Unstract is a document intelligence platform that converts unstructured documents into structured data your systems can use.

It works in three stages: parsing, extraction, and deployment.

Document Parsing Unstract reads PDFs, scanned images, forms, and documents with mixed layouts, then converts them into clean, machine-readable text.

• Reads PDFs, scanned images, forms, and documents in unseen layouts and supports 300+ languages.
• Preserves tables, columns, and key-value pairs so layout reaches the extraction stage intact.
• Handles low-quality scans and dense files without manual cleanup.
• Reaches up to 99.9% extraction accuracy across supported document types.

Document Data Extraction Teams describe the fields they need in plain language. Unstract uses large language models to interpret the parsed content and return structured output ready for databases, applications, and downstream workflows.

• Define extraction logic in plain language, with no template setup or labeled training data.
• Interprets varied and unseen layouts, so a new vendor format needs no new rules.
• Supports a wide range of LLMs
• Drives 7x token cost savings and a 20x improvement in operational efficiency.

Deployment Once an extraction is defined, you can put it into production as an API your applications call directly, or run it across batches of documents as a pipeline.

• Ship extraction logic as an API your applications call directly.
• Run documents in batches as an ETL pipeline for high-volume processing.
• Add Human Quality Review at checkpoints such as high-value contracts or regulated records.
• Cuts manual work by 90% and reaches 90%+ straight-through processing.

Common use-cases:

• Insurance claims intake
• Loan and mortgage document review
• Bank statement and financial document analysis
• KYC and customer onboarding
• Contract and agreement data extraction
• Patient and healthcare record processing
• Invoice and accounts payable processing