DokGPT

Upstage Document Parse transforms complex documents, PDFs, scanned images, spreadsheets, and slides containing text, tables, charts, and even handwriting, into structured, machine‑readable HTML or Markdown with enterprise‑grade speed and accuracy. Leveraging advanced layout understanding, it recognizes complex tables, charts, and element coordinates, processes pages at an average of 0.6 seconds each (100 pages in under a minute, 5–10× faster than competitors), and delivers over 5% higher layout and table recognition accuracy (TEDS: 93.48, TEDS‑S: 94.16). Easily invoked via a REST API or deployed on‑premises or through marketplaces like AWS, it fits seamlessly into existing pipelines using simple client libraries. Use cases span retrieval‑augmented enterprise search, AI‑powered document summarization, legal and compliance digitization, and financial report processing, preserving intricate layouts and ensuring clean, searchable outputs for downstream LLM workflows.

Normain is an Extractional AI platform built to help business teams turn unstructured documents into structured, verifiable insights and automated knowledge workflows with repeatable accuracy and traceability. It lets users upload files and links, define what data or insights they need, and automatically extract and organize key information without relying on chat-style summaries that hallucinate, with every insight traceable back to its exact source (document, page, and paragraph). Normain’s approach focuses on reliable extraction over conversational AI, making outputs verifiable, consistent, and repeatable, so experts can scale their knowledge work and reduce manual search, cross-checking, and validation across hundreds of PDFs, spreadsheets, slides, and text sources. It supports building structured frameworks and custom extraction logic that can be re-run across datasets, handle complex tables and multi-document relationships, and embed into existing processes.