Unstract

🙌 Join Unstract at InsurTech NY 2025! ➡️ Discover how to successfully navigate AI in automating insurance workflows with Dinesh Chandrasekhar and Narendran Hariparanthaman at #Booth 14 ➡️ Ask us how to leverage AI to eliminate manual processes involving unstructured data. ➡️ See Unstract in action—accurate data extraction from documents of any type, form, format, and complexity throughout the insurance processing lifecycle. For more info: https://lnkd.in/gi-mNTj3 #InsurTechNY #insurtech #insurance

📢 Check out this blog by Er. Devanshu T, diving into Unstract's LLMWhisperer and how it revolutionizes document processing: ✅ Key Features: ➡️ Document Structuring: Converts raw, unstructured text into AI-friendly formats. ➡️ Automatic OCR Mode: Efficiently detects and processes scanned documents. ➡️ Context-Aware Formatting: Ensures structured, relevant outputs for AI models. ➡️ API-First Approach: Simplifies integration into enterprise workflows. Scalability: Handles high-volume document processing with minimal manual effort. 🥇 Performance Gains with LLMWhisperer: Real-world applications have shown significant performance improvements: 👏 30–50% faster AI responses due to optimized data input. 👏 40% reduction in token usage, lowering API costs for businesses. 👏 Improved accuracy, reducing misinformation and AI hallucinations. Read on to learn how LLMWhisperer can streamline your document processing! https://lnkd.in/gnTHV7WX

📅 It’s happening tomorrow! Join our first webinar from Unstract as we explore— ⛰️ Modern document processing challenges 📝 Structuring document data through a unique prompt engineering approach 🚀 Flexible deployment and automation of workflows to fit into your existing systems … and lots more! Register now 👉 https://lnkd.in/d-55XcBF

Unstract is excited to sponsor InsurTech Spring Conference in NYC, April 2-3! 🎤 Join Narendran Hariparanthaman & Dinesh Chandrasekhar at BOOTH 14 InsurTech NY 🔍 Want to revolutionize your insurance workflows? Discover how AI can streamline your processes by automating mundane tasks and leveraging unstructured data. 📄✨ Extract precise data effortlessly from any document — regardless of type, form, format, or complexity — enhancing every stage of your insurance processing lifecycle. 🚀 Don't miss this opportunity to transform your data handling and boost your operational efficiency. For more details, click here: https://lnkd.in/gi-mNTj3 #insurtechspring #Insurtech #InsuranceAutomation #WorkflowAutomation #UnstructuredData

💡 Webinar Alert! Is your business data buried in unstructured documents? LLMs are the game-changer you need! Join our upcoming webinar by Mahashree Shanmugam to see how Unstract can help you unlock insights, automate workflows, and simplify document processing—no coding required! Don't miss out—register now and discover how to make the most of your document data! https://lnkd.in/d-55XcBF

💡 Webinar Alert! Is your business data locked in unstructured documents? LLMs are here to change that! Join our upcoming webinar to discover how Unstract enables you to extract insights, automate workflows, and streamline document processing—all with zero code! Don’t miss out—register now and learn how you can leverage your document data better. 👉 https://lnkd.in/d-55XcBF #AI #LLMs #DocumentETL #UnstructuredData #NoCode #Unstract #Webinar

🌐 Unstructured Data ETL with Unstract & Snowflake Unstructured data—like PDFs, images, emails, and social media posts—is one of the biggest challenges in today’s data-driven world. Unlike structured data, it’s hard to process, extract insights from, and integrate into analytics workflows. That’s where Unstract and Snowflake come in: ✅ Unstract: AI-powered extraction that transforms unstructured documents into structured data, ready for ETL workflows. ✅ Snowflake: A cloud-based data warehouse that seamlessly stores and analyzes structured and semi-structured data like JSON. Together, they create a powerful ETL solution that unlocks the full potential of unstructured data, driving smarter decisions and operational efficiency. 🔗 Read this blog by Nuno Bispo: https://lnkd.in/gGPqKhDq

There are so many tools for ETL, but which one fits YOUR use case? 🤔 Milvus has compared the most popular document processing and ETL tools for RAG, and here are our findings. While they serve different purposes, all integrate with Milvus and Zilliz Cloud. Read more: https://lnkd.in/gs-Z7RmP

🤔 Did you know that 80% of information from business documents remains dark data? Document data processing has long been a challenge, but emerging GenAI and LLM capabilities are changing that. In our upcoming webinar by Mahashree Shanmugam, we introduce Unstract as an answer to your document processing needs! Key aspects of this webinar: ⛰️ An in-depth understanding of modern document processing challenges 📝 Unstract’s no-code prompt engineering environment to structure data from documents, no matter their layout or design ✂️ Layout-preserving text extraction with LLMWhisperer for LLM-ready formats 🚀 Flexible deployment and automation of workflows to fit into your existing systems 🎯 Capabilities that improve output accuracy by preventing LLM hallucinations ⚙️ Optimization techniques to reduce LLM costs while maximizing results Register now and get ready to mine your document data and transform business operations! #unstructureddata #etl #webinar #llms

Docling vs. LLMWhisperer – Which PDF Parser is right for you? ➡️ Document Parsing has undergone a dramatic transformation over the years, revolutionizing how we handle printed text. What started as basic pattern-matching tools has evolved into powerful systems capable of interpreting everything from pristine printed documents to messy handwritten notes. ➡️ A key challenge in this evolution has been maintaining the document's original layout. Whether it’s for archiving, data extraction, or integrating with modern AI systems, preserving structure and formatting is crucial for many applications. Two noteworthy players in this space are IBM's Docling and Unstract's LLMWhisperer, each offering unique strengths in document parsing. 👉 Docling is focused on converting documents into markdown while preserving layout integrity. Its ability to retain formatting is perfect for documents like purchase orders and reports. However, when it comes to handling scanned documents, handwritten content, or images, Docling tends to fall short. 👉 LLMWhisperer, in contrast, doesn’t just handle printed text—it excels at recognizing handwriting and extracting complex data like tables, forms, checkboxes, and radio buttons. Its context-aware processing means it can handle a wide range of document types with minimal pre- or post-processing, making it highly versatile. In this post by Nuno Bispo, we’ll: 🔷Walk through the setup and features of Docling and LLMWhisperer. 🔷Test them with real-world documents—like purchase orders, handwritten notes, and forms with checkboxes. 🔷Compare their performance, pricing, and capabilities to help you decide which tool fits your needs. Ready to find out why LLMWhisperer might just be the game-changer your next project needs? Let’s dive in! https://lnkd.in/dr2za2fU