Product features, releases, updates, roadmaps, and everything in between AI, automation, and data.
Discover how AI-powered OCR compares with traditional approaches—its accuracy, context understanding, and challenges like hallucinations, latency, and cost. This blog introduces LLMWhisperer, an LLM-optimized, audit-ready OCR pipeline designed for extracting structured documents.
A Comprehensive Guide to Optical Character Recognition (OCR) Using Tesseract. In this detailed guide, we will configure Tesseract and delve into its features and capabilities by examining three different document scenarios
Modern Insurance OCR is the foundation for automating document-intensive processes like claims and underwriting. The best OCR for insurance goes beyond simple text recognition to accurately extract data from complex layouts, handwritten fields, and multilingual forms.
This piece explores the difficulties of processing scanned PDFs and image scans and showcases LLMWhisperer OCR API offers innovative approaches to document text extraction.
Learn how Unstract can help automate your document-based business workflows by leveraging AI
LLMs and vision-language models depend on clean, structured inputs for accurate results. Discover how OCR text recognition with LLMWhisperer preserves layout and improves document understanding for reliable data extraction.
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
Prompt engineering Interface for Document Extraction
Make LLM-extracted data accurate and reliable
Use MCP to integrate Unstract with your existing stack
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Make LLM-extracted data accurate and reliable
CLI + MCP: Document extraction pipelines for batch jobs and AI agents
