Upstage Document Parse Verified Customer Reviews (2026)

Apryse (formerly PDFTron) transforms how organizations manage documents. Built for both server and web applications, Apryse empowers businesses and developers to securely handle the entire document lifecycle — from creation and collaboration to compliance and archiving — without relying on third‑party services. With Apryse, you can: Run at enterprise scale on your own infrastructure, ensuring privacy, compliance, and maximum control. Deliver modern, in‑browser document experiences with fast, accessible viewing, editing, and collaboration tools. Integrate seamlessly across platforms, supporting PDF, Microsoft Office, CAD, and many other file types. Streamline workflows and reduce costs with technology trusted by leading enterprises worldwide. Apryse makes document workflows smarter, faster, and more secure — so teams can focus less on manual processes and more on meaningful work.

TRANSFORM YOUR PROPOSALS & RFP RESPONSE PROCESS Efficiency, Consistency, and Accuracy—All Within Microsoft Word Elevate your business proposals, RFP responses, and Statements of Work (SOWs) with Expedience—your all-in-one solution for speed, consistency, and absolute accuracy, seamlessly integrated right into Microsoft Word. Say goodbye to tedious workflows and hello to flawless, professional documents every time. POWER OF MICROSOFT, UNLOCKED • Copilot Generative AI: Harness cutting-edge AI to generate content intelligently and effortlessly. • Excel Data Integration: Instantly pull in data from your spreadsheets for fast, error-free proposals. • Realtime Collaboration: Work together within Word, anywhere, anytime—no toggling between platforms. • Corporate Branding: Guarantee your brand is front and center, every single time. INSTANT, SELF-SERVICE SALES DOCS Build proposals, sales documents, and SOWs with just a few clicks—even directly from Excel. Expedience automates Microsoft Word templates to bring guidance to sales teams ensuring the correct items are included on every proposal. CONTENT YOU CAN COUNT ON Access a library of carefully curated, branded, and pre-approved content—all ready for use inside Microsoft Word. Expedience ensures your team never has to waste time proofing or second-guessing your messaging.

Unsiloed AI is a document layer for enterprise AI that converts complex unstructured files into clean JSON, Markdown, and structured data. The platform is built for organizations whose most valuable information lives inside PDFs, scanned documents, images, spreadsheets, contracts, invoices, reports, filings, forms, and other hard-to-parse formats. Unsiloed helps AI teams avoid building brittle OCR, parser, and post-processing pipelines by providing a production-ready API for document parsing, field extraction, and document splitting. Its parsing capability converts PDFs, scans, and images into LLM-ready Markdown while preserving tables, figures, text hierarchy, page structure, signatures, handwriting, and visual context. Its extraction capability pulls specific fields into JSON using schemas, confidence thresholds, and domain-aware logic that can understand context such as line items, payment terms, clauses, totals, and references. Its splitting capability separates multi-document files into individual documents and breaks long files into retrievable chunks for RAG, agent workflows, and search systems. Unsiloed uses proprietary dual-stream vision models that process content and layout in parallel, then fuse them through cross-attention so the system can reason over what a document says and how it is structured. The platform’s architecture includes attention-guided heatmaps, typed document regions, layout-aware processing, and domain-specific decoding for industries such as finance, legal, healthcare, and enterprise operations. It is designed to handle edge cases that traditional OCR often misses, including nested tables, merged cells, multi-page tables, figures, handwritten notes, forms, and documents with mixed formats. Teams can connect data sources such as S3, SharePoint, Drive, Snowflake, or a document management system, then send structured outputs into LLMs, AI agents, vector databases, or analytics warehouses.