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Unstract: No-code LLM Platform for Document Structuring
Unstract is a no-code platform enabling users to leverage Large Language Models (LLMs) for extracting and structuring data from unstructured documents. Easily build APIs and ETL pipelines without writing code.
Python
Added on 2025年6月26日5,393
Stars506
ForksPython
LanguageProject Introduction
Summary
This project offers a powerful, no-code platform designed to significantly simplify the process of extracting and structuring information from unstructured documents by harnessing the capabilities of Large Language Models. It allows users to visually build data pipelines and deploy them as APIs or integrate into existing ETL processes.
Problem Solved
Extracting structured data from unstructured documents like PDFs, images, and text files is traditionally complex, requiring extensive programming and custom parsers. This project simplifies this by providing a visual, no-code way to leverage powerful LLMs for accurate and efficient data extraction.
Core Features
No-code Workflow Builder
Design and build complex document processing workflows using an intuitive drag-and-drop interface.
Flexible LLM Integration
Integrate seamlessly with various state-of-the-art Large Language Models to power your extraction tasks.
Automated API Generation
Instantly publish your configured extraction logic as a production-ready REST API endpoint.
ETL Pipeline Compatibility
Export extracted structured data directly into formats compatible with popular ETL pipelines.
Tech Stack
Python
FastAPI
React
PostgreSQL
Docker
Kubernetes
使用场景
The flexibility of Unstract allows it to be applied across numerous industries and functions where extracting structured data from unstructured documents is a critical task.
场景一：财务 - 自动化发票处理
Details
Automatically extract key fields such as vendor name, invoice number, date, amount, and line items from diverse invoice formats (PDFs, scans).
User Value
Significantly reduces manual data entry, accelerates accounts payable cycles, and improves data accuracy.
场景二：人力资源 - 简历解析与筛选
Details
Parse resumes and CVs to extract candidate information including contact details, work experience, education, and skills into a structured format for applicant tracking systems.
User Value
Streamlines the recruitment process, enabling faster candidate screening and database building.
场景三：法务/合规 - 合同数据提取
Details
Extract relevant clauses, dates, parties, and terms from legal contracts, agreements, or compliance documents for analysis and management.
User Value
Improves efficiency in contract review, facilitates compliance audits, and enables better contract lifecycle management.
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