2/ Join us for a fireside chat where @shuveb, Co-founder & CEO of @GetUnstract, dives into how enterprises can strategically use LLMs to automate complex, document-heavy workflows.

1/ Enterprises worldwide are turning to Large Language Models (LLMs) to boost productivity through automation—especially in document extraction, one of the most complex and manual-heavy areas. While the demos look impressive, real-world results often fall short.

🎥 [Webinar Alert]: The enterprise playbook for LLM-powered document workflows. Register now: Featuring @GetUnstract's co-founder and CEO @shuveb

Watch @awaiskamranch explore @GetUnstract . — an open-source, no-code platform that uses Large Language Models (LLMs) to convert unstructured documents like invoices, contracts, bank statements, handwritten forms, and scanned PDFs into accurate,.

📃 Setting up document automation from scratch or looking to optimize existing workflows?. In this video, we walk through how to build advanced agentic workflows with the @GetUnstract + @n8n_io power duo and demonstrate a real-world document process automation workflow in action.

Whether it’s invoices, ID cards, contracts, or jumbled PDFs, Unstract handles it all. ✨ Meet Prompt Studio. Your playground to:. 🔹 Build & test prompts (no code!). 🔹 Extract fields like name, email, DOB. 🔹 Define custom schemas. 🔹 Plug into tools like n8n or APIs. 🔹.

🚀 Get Started with Unstract.🔗 Extract JSON from messy documents — no code, no hassle. @GetUnstract is an open-source, no-code Agentic Document Intelligence platform that turns unstructured documents into clean, structured JSON — ready for automation.

[ 📢 WEBINAR ALERT]. Register now 👉 📃 With the growing volume of documents businesses handle daily, document extraction is only the first step toward gaining business value. To truly drive efficiency and scale, end-to-end document process automation

If you’re building, scaling, or evaluating document ETL pipelines, this webinar is packed with actionable takeaways!.

🤖 Discover key accuracy-enabling capabilities powered by @GetUnstract and LLMWhisperer that are raising the bar. In this session, we cover:. ✔️The costs of inaccurate document extractions. ✔️What breaks LLM accuracy—and how to solve it. ✔️Unstract's accuracy-enabling features.

🤖 LLMs are transforming how we extract data from documents—but without output accuracy, even the most advanced models can become a liability. 🤖 Extraction errors quietly skew insights, invite risk, and burden teams with fixes. Watch this webinar where we discuss common.

👩‍💻 That’s where Human in the Loop (HITL) comes in. In high-stakes use cases like compliance and data accuracy, HITL ensures AI outputs are reviewed, validated, and trustworthy. AI does the heavy lifting. Humans make sure it’s right.

🤖 AI has transformed document processing—automating data extraction from PDFs, scans, handwritten forms, and more. Tools like Unstract help teams handle thousands of documents with minimal manual effort. But even the smartest AI needs backup.

🧩 What’s inside:. 🔹 How Unstract implements the MCP spec to deliver context-aware document extraction. 🔹 Step-by-step integration with Cursor and Claude Desktop for in-app querying. 🔹 Real-world use cases for data engineers and insurance underwriters. 🔹 Why being MCP-ready.

➡️ @GetUnstract MCP Server: An In-depth Guide. Here's a detailed walkthrough of Unstract’s MCP (Model Context Protocol) Server—showing how it integrates seamlessly with tools like @cursor_ai and @AnthropicAI's Claude Desktop.

Watch the session →. You'll see how @GetUnstract + LLMWhisperer are raising the bar for accuracy at scale. ✅ Why LLMs break (and how to prevent it). ✅ Unstract’s accuracy-first features: LLMChallenge, human reviews, layout preservation & more. ✅.

🤖 LLMs are revolutionizing document data extraction—but without accuracy, they can do more harm than good. 👉 Extraction errors slip in quietly, skew insights, introduce risk, and drain team resources. 👉 In our latest webinar, we dive into the real cost of inaccurate.

(2/2) Session highlights:.✔️What breaks LLM accuracy—and how to solve It.✔️Unstract's accuracy-enabling features like LLMChallenge, human reviews, layout preservation, and more.✔️When and how to add human checks without slowing down workflows.… and more!

(1/2) 📣Webinar.LLMs are transforming document data extraction—but without output accuracy, even advanced models can become a liability. Join our webinar as we discuss how to achieve 99% output accuracy using Unstract’s cutting-edge capabilities. Register today:.

👉 If you’re looking to stay at the cutting edge to unlock business value hidden in the depths of your documents, this webinar is for you.