DeepSeek-OCR
DeepSeek-OCR is an open source model for Contexts Optical Compression, built to explore the boundaries of visual-text compression and investigate the role of vision encoders from an LLM-centric viewpoint. It is designed to compress long contexts through optical 2D mapping, using DeepEncoder as the core engine and DeepSeek3B-MoE-A570M as the decoder. DeepEncoder maintains low activations under high-resolution input while achieving high compression ratios, keeping the number of vision tokens manageable for document understanding. The model supports OCR and document parsing workflows for images and PDFs, with inference through vLLM or Transformers. Users can run image OCR with streaming output, process PDFs with high concurrency, or run batch evaluation for benchmarks. DeepSeek-OCR can convert documents to Markdown, perform free OCR without layouts, parse figures, describe images in detail, and locate referenced text inside an image.
Learn more
Square 9
Square 9 is a type of Intelligent Document Processing (IDP) solution designed to help users efficiently manage and extract valuable data from various documents, forms, and external sources. By leveraging generative AI-powered capture technology, Square 9 transforms the often cumbersome task of data extraction into a streamlined process, allowing businesses to derive structure and meaning from their information. This innovative approach not only alleviates the frustrations associated with manual data handling but also empowers teams to concentrate on more strategic initiatives.
Targeted primarily at organizations seeking to enhance their operational efficiency, Square 9 serves a diverse range of industries, including finance, healthcare, and manufacturing. Its applications are particularly beneficial in critical areas such as Accounts Payable, Order Processing, Customer and Vendor Onboarding, and Contracts Management.
Learn more
Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
Learn more
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.
Learn more
