Transform complex documents into structured data effortlessly using Unstract's open-source, no-code platform powered by large language models.
Unstract is an open-source, no-code platform designed to automate the extraction and structuring of data from unstructured documents. Leveraging the capabilities of large language models (LLMs), Unstract enables users to deploy APIs and ETL pipelines that convert complex documents—such as invoices, contracts, and forms—into structured data formats like JSON. This transformation facilitates seamless integration with data warehouses and analytics platforms, streamlining workflows and enhancing data accessibility.
Unstract is an open-source, no-code platform that automates the extraction and structuring of data from unstructured documents using large language models (LLMs). It enables users to create workflows that process documents into structured formats like JSON, facilitating seamless integration with data warehouses and analytics platforms.
No, Unstract is designed for non-technical users. Its intuitive, no-code interface allows you to build and deploy data extraction workflows without writing any code.
Unstract can process a wide variety of document types, including PDFs, images, and scanned documents. It is particularly effective for documents like invoices, contracts, and forms, which may vary in format and structure.
Unstract takes data privacy seriously. Documents processed through the platform are not stored during normal operations; they are discarded after processing. However, if Human-in-the-Loop (HITL) review is enabled, documents are retained temporarily for review purposes and deleted afterwards. Additionally, LLMWhisperer, the text extraction service used by Unstract, does not store documents on paid plans. On the free plan, documents may be stored and used to improve the system.
Prompt Studio is a no-code environment within Unstract where users can define extraction schemas and develop prompts for data extraction. It allows for the customization of extraction logic to handle various document formats and structures effectively.
Unstract supports multiple deployment options:
Yes, Unstract is capable of processing large documents. However, for optimal performance, it's recommended to avoid chunking documents unless necessary, as chunking can impact the quality of data extraction.
To run Unstract, you'll need:
Yes, Unstract offers a free trial for its Cloud Edition, which includes pre-configured services like an LLM, vector database, embedding model, and LLMWhisperer for text extraction. This allows you to explore the platform's capabilities with minimal setup.
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