Product features, releases, updates, roadmaps, and everything in between AI, automation, and data.
This guide explores how advanced Logistics OCR (Optical Character Recognition) and AI solutions like Unstract, powered by LLMWhisperer, are transforming logistics document parsing.
Learn how to build an AI agent using PydanticAI that automates document parsing, data processing, and storage—powered by Unstract, Pandas, and PostgreSQL—all driven by natural language.
Explore the evolution of intelligent document processing and discover how Unstract is redefining IDP AI—eliminating training data and annotation, while enabling real-time human oversight in AI workflows.
Looking for the best OCR for bookkeeping? LLMWhisperer goes beyond traditional OCR by accurately handling complex financial documents, —delivering clean, structured data ready for downstream use. Learn more.
This article provides an in-depth walkthrough of Unstract’s MCP (Model Context Protocol) Server and demonstrates how it can be integrated with popular MCP hosts such as Cursor and Claude Desktop.
Discover how Unstract’s Human-in-the-Loop (HITL) feature empowers you to review, verify, and refine extraction results for greater accuracy and control.
See Unstract in action with walkthroughs of core features and real extraction workflows.
Managed cloud, on-premise, or open-source. Unstract adapts to your infrastructure needs, so choose what works best for you.
Prompt engineering Interface for Document Extraction
Make LLM-extracted data accurate and reliable
Use MCP to integrate Unstract with your existing stack
Control and trust, backed by human verification
Make LLM-extracted data accurate and reliable
