Extract Structured Data from Unstructured Documents

Drowning in unorganized PDFs, scanned images, and complex documents? You're spending countless hours manually extracting critical information, introducing errors, and delaying business decisions. Traditional OCR software only gets you halfway there, and the technical barriers to building custom extraction solutions are overwhelming.

What is Unstract

Unstract is an open-source, no-code platform that automates the extraction of data from unstructured documents using Large Language Models. It transforms complex document processing by intelligently analyzing content, understanding context, and structuring the information you need without requiring programming skills. With its Prompt Studio environment, you can design sophisticated workflows that convert unmanageable documents into clean, structured data ready for business use.

Key Capabilities

No-code Prompt Studio : Design complex document processing workflows without technical expertise, allowing business users to create powerful extraction rules tailored to specific document types.

LLM-powered extraction : Achieve high accuracy data capture from various document types using advanced language models that understand context, not just text, dramatically reducing manual review time.

Multiple deployment options : Deploy your workflows as APIs, ETL pipelines, or custom Q&A apps, making your data extraction processes accessible across the organization or in external systems.

Diverse data source connections : Retrieve documents from AWS S3, Dropbox, Google Drive, or other storage systems, and send processed data to databases like PostgreSQL, Snowflake, or BigQuery.

Multi-format document support : Process PDFs, images, text files, and Microsoft Office documents with equal precision, eliminating the need for multiple specialized tools for different file types.

Perfect For

A financial services firm was drowning in thousands of complex loan documents each month. Using Unstract, they built a workflow that automatically extracts borrower information, payment terms, and collateral details with 95% accuracy. What once took 20 minutes per document now happens in seconds.

A legal team needed to review hundreds of contracts to identify non-standard clauses. They used Unstract to build custom extraction rules that pulled out specific clause language and categorized agreements by risk level. This reduced manual review time by 80% and increased contract compliance.

Worth Considering

Unstract requires access to LLM APIs for full functionality, which means ongoing costs beyond the platform itself. While it handles complex documents better than traditional OCR tools, extremely poor-quality scans may still need human verification. The platform offers multiple pricing options (Freemium model with cloud, open-source, and enterprise tiers), with pay-as-you-go starting from $5 per 1,000 pages.

Also Consider

Nanonets: Better for organizations requiring extremely high accuracy (98%+) with complex tabular data extraction and rule-based approval workflows.

Docsumo: Superior for businesses needing pre-trained models for industry-specific document types with extensive customization options.

Veryfi: Ideal for companies focused specifically on real-time expense tracking and financial document processing with built-in OCR.

Bottom Line

Unstract brings LLM-powered document processing to business users without technical barriers. It stands out for its ability to understand document context, not just extract text, making it particularly valuable for organizations with complex, varied document types. If your business processes are bogged down by manual document handling, Unstract delivers automation that's both powerful and accessible.