.svg)
Unstract is an open-source platform designed to automate the extraction and structuring of data from unstructured documents at scale. The platform leverages large language models to process diverse document formats including PDFs, forms, images, and Microsoft Office files without requiring manual annotations or templates. Organizations use Unstract to handle documents with significant variations across sources while maintaining accuracy through a unique two-LLM verification system called LLMChallenge that validates extracted data before returning results.
The platform provides production-grade document processing capabilities through multiple deployment options. Users can access Unstract via cloud APIs, build custom ETL pipelines, or integrate with workflow automation tools such as n8n. The system supports multiple LLM providers, vector databases, and embedding models, allowing organizations to choose components that best match their technical requirements and cost considerations. Features include Prompt Studio for building extraction workflows, SinglePass and Summarized Extraction modes for reducing token usage, and Human in the Loop functionality for handling edge cases requiring manual review.
Unstract addresses document processing challenges across finance and insurance sectors through specialized automation use cases. The platform processes claims documents, insurance underwriting materials, customer onboarding forms, and KYC verification documents. Organizations including Bosch, ExxonMobil, Boeing, and Hitachi use Unstract for their document automation needs. The platform maintains enterprise-grade security and compliance standards including SOC 2 Type II certification, ISO 27001 certification, and GDPR compliance.
- Extract structured data from bank statements, invoices, and receipts across multiple formats and layouts
- Automate insurance claims processing by extracting information from claims documents and medical records
- Process underwriting documents to extract policy information, risk assessment data, and applicant details
- Accelerate customer onboarding workflows through automated KYC document verification and data extraction
- Structure data from legal contracts and agreements for analysis and comparison
- Convert scanned documents and handwritten forms into searchable structured data
- Build document processing APIs that return clean structured data for integration with existing applications
- Automate claims triage by extracting and categorizing information from incoming claim documentation
- Process vendor invoices and purchase orders to extract line items and financial data
- Extract and structure content from research documents and technical specifications
- Consolidate data from multiple document sources into data warehouses and databases
- Parse email attachments and documents from cloud storage for automated data capture
