Your RAG system is only as good as the data you feed it. If the parser messes up tables, headers, and reading order, your multi-million dollar LLM gets garbage in, garbage out.

🚨 The biggest bottleneck in RAG isn't your fancy AI model. It's the humble document parser. 90% of teams are optimizing the wrong thing. #RAG #AI #DataEngineering

For builders: • Swagger-ready API <5 min integration • Async batch processing queues Stop debugging parsers, start scaling AI.

Under the hood: ✅ Dynamic model updates (no community wait!) ✅ Hybrid deployment: Cloud/SaaS/On-prem ✅ Various doc type support (contracts/tables/schematics) ✅ Audit trails & RBAC for enterprises OSS can't match this ops maturity. 📈

Open-source doc parsing vs TextIn xParse closed-source: 🟢 OSS: Good for testing 🔵 xParse: Built for SCALE & SECURITY Why? Production RAG systems need: • Zero accuracy drift • Bank-grade data control • No infrastructure overhead

⭐️xParse Updates for June 1. Table Model Enhancement: Added tangent detection for improving table parsing accuracy. 2. Cross-Page Cell Semantic Merging: Enabled semantic merging of cells across pages for complex, multi-page tables.

Why settle for traditional extraction tools when you can use AI? With Textin, your document data extraction needs are just a sentence away. Try the future now! #AIForBusiness #TechInnovation

From contracts to bank statements, TextIn's solution enables real-time extraction, saving businesses from costly manual data entry. It’s automated efficiency at its best! #BusinessTech #Textin

🔍 Extracting data from documents has never been this easy. With TextIn, just type a prompt and get structured data like JSON without the complexity. Imagine the possibilities! #DataAutomation #AI

Textin's technology uses LLM (large language models) to understand your needs in natural language, delivering precise outputs every time. It's never been easier to automate document processing. #AI #TechInnovation

Gone are the days of manual configurations! Just tell Textin what to extract (e.g. contract amounts, invoice numbers), and get it in structured data—fast. 🔄 #DocumentAutomation #DataExtraction

⚡️Tired of complex extraction setups? With TextIn's AI-driven solution, you just need a simple prompt to extract info from invoices, contracts, or reports—no code, no hassle. #AI #Automation #Textin

The future of SEO ≠ keywords. It’s trust + structure + entity alignment. Credit to @OtterlyAI — their guide is a goldmine for AI-native marketers. 🔁 Save this. Share with your team. Your traffic depends on it. #GEO #LLMO #AISEO #OtterlyAI #DigitalMarketing #ChatGPTSEO

✅ Entity audits ✅ LLM-ready SEO strategies ✅ PR alignment with AI topics ✅ Wikipedia listing ✅ UGC on Reddit ✅ Credible citations ✅ Authority quotes ✅ Unique stats ✅ High readability ✅ Simple language ✅ No keyword stuffing ✅ No black hat tactics

Just read the OtterlyAI - Generative Engines Optimization Guide. 📌 Here's a distilled GEO/LLMO Checklist you must review if you're optimizing for AI-first search (ChatGPT, Perplexity, Gemini, etc) 👇

Different DPI settings (72, 144, 216) change the scale of coordinates. Learn how to convert them correctly to maintain table quality across various platforms. #TechSolutions #API #DPI

But here's the challenge: DPI—the dots per inch setting—affects how coordinates are mapped. Understanding DPI is crucial for accurate extractions! #DPI #TechChallenge

Why do we need table image extraction? In digital offices, we often need to extract tables from documents (like PDFs) to ensure accurate formatting and data integrity. #TableExtraction #API

The bottom line for educators: ⏰ Hours saved on manual processing 🎯 Higher accuracy in document conversion 📊 Better data for learning analytics 🔄 Seamless integration with existing systems

Real-world applications transforming schools: 🎯Bulk exam processing → individual questions auto-extracted 🖼️PDF course materials → structured content extraction 📱Phone-captured documents → auto-corrected and cleaned