Unstract
What is Unstract?
Unstract is an open-source, no-code platform purpose-built for extracting data from unstructured documents using large language models and AI. The platform democratizes document intelligence by enabling developers, analysts, and enterprises to design highly customized extraction workflows without being tied to a single model or vendor. Unstract goes beyond traditional intelligent document processing (IDP) and robotic process automation (RPA) systems by leveraging cutting-edge AI to handle complex, long documents with human-in-the-loop capabilities. It transforms raw content such as PDFs, scanned images, forms, and handwritten text into structured, analyzable data ready for downstream applications. The platform features a modular, transparent architecture that makes every stage of the pipeline—from ingestion and OCR to schema creation and validation—configurable, auditable, and extendable. With pre-built connectors for databases, warehouses, and cloud storage platforms like Snowflake, Unstract seamlessly integrates into existing workflows.
How to use Unstract?
To use Unstract, start by accessing the platform's visual interface and creating a new extraction project. Define your document schema and custom extraction requirements using the Prompt Studio, a no-code environment where you can create and test prompts without writing code. Upload your unstructured documents (PDFs, images, scanned files, etc.) through flexible ingestion options from sources like S3, Dropbox, or data lakes. Configure your ETL pipeline by connecting OCR, LLM, and transformation steps visually, then execute the pipeline to automatically extract and structure your data. Finally, export the processed data in your preferred format—JSON, spreadsheets, databases, or via API—and integrate it directly into your applications or data warehouses for analysis and reporting.
Unstract's Core Features
Flexible document ingestion from multiple sources including S3, Dropbox, data lakes, and local file systems.
AI-powered data extraction using natural language processing, embeddings, and large language models for accurate information retrieval.
No-code Prompt Studio environment that lets users create, test, and customize extraction schemas without writing code.
Layout-preserving mode that enables LLMs to understand multi-column layouts, forms, tables, and complex document structures.
State-of-the-art handwritten text detection and OCR for processing challenging documents including scanned images and handwritten content.
Multi-format output options including JSON, spreadsheets, database tables, and API endpoints for easy data consumption.
Modular and transparent architecture that allows selection of custom OCR engines, LLMs, and transformation components.
End-to-end ETL pipelines with visual pipeline builder for connecting ingestion, extraction, validation, and export steps.
Pre-built Unstract API Hub repository with powerful APIs for structuring data from common document types.
Enterprise-grade scalability handling large volumes of documents while maintaining high accuracy and compliance standards.
Seamless integration with cloud data platforms like Snowflake, BigQuery, and data warehouses for structured data storage.
Performance monitoring dashboard for tracking extraction jobs, datasets, validation metrics, and processing performance.
Open-source codebase under AGPL 3.0 license enabling customization, transparency, and community contribution.
Data validation capabilities to ensure extracted data adheres to established compliance standards and legal requirements.
Unstract's Use Cases
- #1
Insurance claims processing and underwriting by automating the extraction and validation of critical data from claim forms and KYC documents
- #2
Mortgage origination and credit decisioning by extracting structured data from loan applications and financial documents to accelerate approval times
- #3
Customer onboarding (KYC processing) by automating the extraction of identity and compliance information from various document types at scale
- #4
Contract management and legal document review by converting complex contracts and agreements into structured data for faster analysis and processing
- #5
Financial services document processing for consumer and corporate lending by extracting loan application details and financial records with high accuracy
- #6
Insurance loss run reports processing by automatically extracting and organizing historical claim data into structured formats for analysis
- #7
Healthcare compliance and medical records processing by extracting patient information from various document formats while maintaining data governance standards
- #8
Logistics and supply chain document processing by extracting shipping, invoice, and tracking information from multiple document types and formats
Frequently Asked Questions
Analytics of Unstract
Monthly Visits Trend: Jun 2025 - Jun 2026
Traffic Sources
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 16.32% |
| Czech Republic | 9.51% |
| India | 7.15% |
| Vietnam | 5.43% |
| Netherlands | 4.06% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| unstract | 1.1K | -- |
| llmwhisperer | 980 | -- |
| pdf plumber | 2.5K | $2.51 |
| report value extraction | 160 | -- |
| best ocr | 2.6K | $5.86 |
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