Unsiloed
Unsiloed AI is a document processing platform that turns PDFs, images, spreadsheets, scans, and other unstructured files into JSON and Markdown that LLMs and AI agents can use. The platform acts as a document layer for enterprise AI, helping teams parse, extract, and split complex documents without relying on brittle OCR pipelines. Its proprietary dual-stream vision models read both content and layout, preserving tables, figures, forms, signatures, handwriting, hierarchy, and document structure. Unsiloed can extract structured fields into JSON, convert documents into LLM-ready Markdown, and split multi-document files or long documents into retrievable chunks. The platform supports workflows across financial reports, legal contracts, invoices, healthcare records, regulatory filings, scanned documents, spreadsheets, and mixed-layout enterprise files.
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Mistral OCR 3
Mistral OCR 3 is the third-generation optical character recognition model from Mistral AI designed to achieve a new frontier in accuracy and efficiency for document processing by extracting text, embedded images, and structure from a wide range of documents with exceptional fidelity. It delivers breakthrough performance with a 74% overall win rate over the previous generation on forms, scanned documents, complex tables, and handwriting, outperforming both enterprise document processing solutions and AI-native OCR tools. OCR 3 supports output in clean text, Markdown, or structured JSON with HTML table reconstruction to preserve layout, enabling downstream systems and workflows to understand both content and structure. It powers the Document AI Playground in Mistral AI Studio for drag-and-drop parsing of PDFs and images and integrates via API for developers to automate document extraction workflows.
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PaddleOCR
PaddleOCR is a leading open source OCR toolkit and document AI engine that turns PDFs and images into structured, LLM-ready data with high accuracy. It is designed to bridge the gap between documents and large language models by extracting, recognizing, parsing, and organizing information from scanned pages, photos, forms, tables, formulas, charts, and complex layouts. PaddleOCR supports more than 100 languages and provides a practical toolkit for building intelligent RAG and agentic applications that need reliable document understanding. Its core capabilities include PaddleOCR-VL, PP-OCRv5, PP-StructureV3, and PP-ChatOCRv4. PaddleOCR-VL is an ultra-compact vision-language model for multilingual document parsing, supporting 109 languages and performing well on complex elements such as text, tables, formulas, and charts. PP-OCRv5 is built for universal-scene text recognition.
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Mistral OCR 4
Mistral OCR 4 is a document extraction and understanding model built for enterprise search, RAG, domain-specific retrieval pipelines, and production-grade document intelligence. It extracts and structures content from a wide range of documents, moving beyond clean text and tables to return a structured representation of each page. Alongside extracted text, OCR 4 provides bounding boxes, typed-block classification, and inline confidence scores, helping downstream systems understand not only what the document says, but where each element sits, what role it plays, and how confident the model is in each region. Bounding boxes make in-context highlighting and reliable data pipelines possible, while block types and confidence scores support source-grounded citations, redactions, and human-in-the-loop verification. OCR 4 accepts common enterprise formats, including PDF, DOC, PPT, and OpenDocument, and supports 170 languages across 10 language groups.
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