Unstract

pdfplumber 🆚 Unstract's LLMWhisperer ➡ pdfplumber is a highly effective PDF parsing tool, especially for structured data extraction from well-formatted digital PDFs like financial statements or reports. Its standout features include precise table and text extraction, seamlessly fitting into Python workflows for developers who need control over layout. ➡ However, it has limitations with unstructured layouts, scanned documents, or handwritten content. ➡ LLMWhisperer takes PDF parsing a step further, ideal for documents with mixed content, complex forms, or ambiguous layouts. It combines NLP and advanced OCR, enabling context-aware data extraction, handling both printed and handwritten content, and providing valuable insights that pdfplumber doesn’t offer. ➡ Whether you’re parsing structured reports or tackling unstructured forms, choosing the right tool can transform your document workflows. 🤔 When choosing between pdfplumber and LLMWhisperer, consider the document type and content complexity: 👉 Opt for pdfplumber if you’re handling well-structured, digital PDFs that require precise layout control and table extraction—perfect for financial reports, invoices, or any PDF with a clear, consistent structure. 👉 Choose LLMWhisperer if you need to parse scanned PDFs, handwritten forms, or complex layouts that benefit from context-aware extraction. LLMWhisperer shines with unstructured or mixed content, like loan applications, legal contracts, or documents with variable formatting. It’s also ideal for high-volume document processing, delivering both speed and accuracy. Read this guide by Nuno Bispo to see a detailed comparison: https://lnkd.in/gktKwu29

Meetup Monday! 🔥 Here's what's upcoming: 🌴 Nov 13 in Sunnyvale CA with Unstract, Caber Systems, Inc., and Zilliz: https://lu.ma/p4rvrcdc 🇩🇪 Nov 14 in Berlin, Germany with Anaplan, Arize AI, and Zilliz: https://lnkd.in/gGBrZ4fC 🌉 Nov 19 in SF with Arize AI, Zilliz, and more: https://lu.ma/k16hixaf 🗽 Nov 21 in NYC with Tecton, StreamNative, and Zilliz: https://lu.ma/cqxuproe BONUS: Webinar on evaluating RAG by Stefan Webb on Nov 7: https://lnkd.in/gd6CZz-W

Last week, I had the privilege of speaking at the Unstructured Data Meetup organized by Zilliz (creators of Milvus) in New York City 🗽✨ 🔍 Topic: Unstructured Document Data Extraction at Scale with LLMs: Challenges and Solutions During my talk, I shared how Unstract is transforming the way businesses handle vast amounts of unstructured documents. We explored the shift from traditional Intelligent Document Processing (IDP) systems to the innovative IDP 2.0, leveraging cutting-edge Large Language Models (LLMs) and vector databases to achieve greater accuracy and cost efficiency, without the need for extensive manual annotation, even as document complexity and variability rise. The audience was incredibly engaged, and I truly enjoyed the insightful questions and lively discussions that followed! A huge thank you to Tim Spann 🥑 for organizing such an awesome event and adding some Halloween-themed fun! 🎃👻 For those who missed it, you can check out the event write-up, slides, and recording here: https://lnkd.in/g5m87khy Excited to keep the conversation going around unstructured data and LLMs. If you're interested in this space, let's connect! #UnstructuredData #LLMs #AI #DocumentProcessing #Unstract

📃 In today’s data-driven world, PDFs are a go-to format for sharing everything from business reports to financial statements. Yet extracting structured data from PDFs can be a real challenge—especially when dealing with images, tables, or varied layouts. 📃 This is where PDF parsing tools step in, allowing for automated data extraction into formats that are easier to work with, like text or structured tables. 📃 For businesses and developers, automating this process can transform workflows in areas like financial auditing, legal analysis, or large-scale report generation. We’ve put together a guide on using PDFplumber to extract data from PDFs. It covers everything from installation to using key features like text and table extraction, complete with real-world examples. Later in the guide, we’ll introduce the LLMWhisperer API—a layout-preserving PDF-to-text extractor that can handle scans, images, complex tables, checkboxes, handwriting, and more. If you’re looking to extract data for LLM analysis, this tool simplifies the process by adapting to any document type and layout. Check out the full guide by Nuno Bispo here: https://lnkd.in/gktKwu29

🔍 Challenges in Processing PDF Documents with Form Fields Handling PDF documents with fillable form fields can be tricky, especially when dealing with complex data like bank documents. Traditional methods often fall short when it comes to accuracy and flexibility. Large Language Models (LLMs) offer new possibilities for handling the complexities of document processing. With AI, extracting structured data from various types of documents, including those with fillable forms, becomes more efficient and accurate. See how Unstract uses AI to extract data from various types documents with fillable form fields in this article by Tarun Singh: https://lnkd.in/d9G3Dj4M #AI #LLMs #DocumentProcessing #DataExtraction #Unstract #Banking #Insurance #Automation

🔥 Meetup Monday with Zilliz! 🔥 Join Unstract's COO, Narendran Hariparanthaman this Wednesday in NYC for an insightful talk on Unstructured Document Data Extraction at Scale with LLMs: Challenges and Solutions. Plus, check out these other great sessions: ➡️ Introduction to Vector Search with Uri Goren ➡️ Metadata Lakes for Next-Gen AI/ML with Lisa N. Cao from Datastrato 📅 Don’t miss out—save your spot now: https://lu.ma/naqu6xrd

Meetup Monday! 🔥 Join us this Wednesday in New York City for great talks, food, drinks, and networking. ➡️ Introduction to Vector search with Uri Goren ➡️ Metadata Lakes for Next-Gen AI/ML with Lisa N. Cao, Datastrato ➡️ Unstructured Document Data Extraction at Scale with LLMs: Challenges and Solutions with Narendran Hariparanthaman, Unstract Save your spot: https://lu.ma/naqu6xrd #Vectordatabase #UnstructuredData #Meetup #Event #Milvus

🚀 ITC Vegas 2024—What an Experience! 🎉 What an incredible week at InsureTech Connect 2024 in Las Vegas! We were beyond excited to be sponsors this year and immerse ourselves in the energy that makes ITC the premier event for the insurance industry. A huge shoutout to InsureTech Connect for organizing such a phenomenal event. It was a pleasure meeting so many inspiring people and discovering innovative insurtech startups that are shaping the future of insurance. We’re looking forward to continuing the conversations, exploring new collaborations, and pushing the boundaries of innovation. 🚀✨ Narendran Hariparanthaman | Shuveb Hussain #ITC2024 #ITCVegas #InsurTech #Innovation #InsuranceTech

Happy to be at Unstract booth, to strengthen our partnership #inube #unstract

🤔 Why is JSON the go-to format for structured data, especially when converting PDFs? JSON (JavaScript Object Notation) stands out as a favorite for data structuring and exchange due to its simplicity and efficiency. Here’s why it’s widely preferred: ✅ Human-Readable, Machine-Friendly: JSON’s clean, key-value structure makes it easy to both interpret and process, simplifying document handling. ✅ Universal Compatibility: With support across most programming languages like Python, JavaScript, and PHP, JSON ensures seamless integration into diverse systems. ✅ Lightweight & Fast: Its minimalistic design reduces data load, improving performance in data transmission and storage. ✅ Scalable & Flexible: JSON easily handles both simple and complex datasets, making it a great choice for extracting detailed information from PDFs containing tables, images, and more. Read more on why and how to convert unstructured PDF documents to structured JSON using Unstract: https://lnkd.in/gwxU77TX #json #pdfextraction #unstructureddata