Document analysis

Models 12

• Gen 3
  Kimi K3

  By Moonshot AI

  Kimi K3 is a 2.8 trillion parameter sparse Mixture-of-Experts language model with native vision understanding and a context window of up to 1 million tokens. It uses Kimi Delta Attention and Attention Residuals to improve long-context efficiency and depth scaling, with an always-on reasoning mode for coding, knowledge work, and agentic tool use.

  💬Chatting💻Coding🤖Agents🔍Research📄Document analysis🔍Image analysis
  NewMultimodal

  Released 6d ago
• Gen 3
  PP OCRv6

  By Baidu

  PP-OCRv6 is PaddlePaddle/Baidu’s lightweight universal OCR system for multilingual text detection and recognition across edge, mobile, desktop, and server deployments.

  📜OCR🔍Data extraction📄Document analysis
  NewMultimodal

  Released 1mo ago
• Gen 3
  Zamba2 VL 7B

  By Zyphra AI

  Zamba2-VL-7B is Zyphra’s open 7B-class vision-language model for single-image and multi-image understanding, visual grounding, OCR, charts, documents, and on-device multimodal applications.

  🔍Image interpretation📄Document analysis📜OCR
  NewMultimodal

  Released 1mo ago
• Gen 3
  NuExtract3

  By NuMind

  NuExtract3 is NuMind’s open-source 4B vision-language reasoning model for document understanding, structured extraction, OCR, and document-to-Markdown conversion.

  🔍Data extraction🖼️Image to text📄Document data extraction📄Document analysis
  NewMultimodal

  Released 2mo ago
• Gen 3
  SenseNova 6.7 Flash-Lite

  By SenseTime

  SenseNova 6.7 Flash-Lite is a lightweight multimodal agent model from SenseTime built for long horizon office workflows. It uses a native multimodal architecture that reads images and documents directly, skipping a vision to text intermediate step, cutting token consumption by up to 60 percent versus text only agents in search heavy tasks while supporting a 262144 token context window.

  💬Chatting🤖Task automation📊Data analysis🎥Presentations📄Document analysis
  NewMultimodal

  Released 2mo ago
• Gen 3 Nemotron
  Nemotron 3 Nano Omni

  By NVIDIA

  Nemotron 3 Nano Omni is NVIDIA’s open multimodal reasoning model for agentic systems. It unifies text, image, video, and audio in a single efficient 30B-A3B hybrid MoE model, built to replace fragmented vision-language-audio stacks with one shared perception-and-context model for multimodal agents.

  🔍Image interpretation🎥Video analysis🤖Agents🗒Transcription📄Document analysis🤔Logical reasoning
  NewMultimodal

  Released 2mo ago
• Gen 3
  Chandra OCR 2

  By Datalab

  Chandra is an OCR model for difficult document extraction tasks. Its GitHub description says it handles complex tables, forms, and handwriting while preserving full layout structure, making it more document-understanding focused than plain text O

  📜OCR🔍Text extraction📄Document analysis🔢Mathematical formula transcription🔍Handwriting analysis
  Multimodal

  Released 3mo ago
• Gen 3 GLM
  GLM OCR

  By Z.ai

  GLM-OCR is Z.ai’s open-source multimodal OCR model for complex document understanding. Built on the GLM-V encoder-decoder architecture, it is designed to read and structure difficult real-world documents such as tables, formulas, code-heavy pages, and sealed or irregular layouts, while staying lightweight enough for efficient deployment at only 0.9B parameters.

  📷Image text extraction📄Document data extraction📄Document analysis🖼️Image to markdown
  Multimodal

  Released 4mo ago
• Gen 7
  Zembed 1

  By ZeroEntropy

  ZeroEntropy is a closed-source AI retrieval platform offering specialized rerankers, embeddings, and custom models for search, RAG, agentic coding, context compression, and production AI systems.

  🔍Information retrieval📂Content categorization📄Document analysis🔍Conceptual search
  Text

  Released 4mo ago
• Gen 3 GLM
  GLM 4.6V

  By Z.ai

  Open-source multimodal model series with native function calling. Available in 106B (cloud) and 9B Flash (local) variants. Features a 128K context window, supports image and video understanding, and can perform agentic tasks combining visual perception with direct tool execution, including web search and document-to-article generation.

  🤖Chatbots📄Document analysis🔨Ui code generation
  Multimodal

  Released 7mo ago
• Gen 7 Voyage
  Voyage 3 large

  By Voyage AI

  Text embedding model optimized for general-purpose and multilingual retrieval across law, finance, code, and long-document domains. Supports a 32K-token context window, flexible output dimensions (256, 512, 1024, 2048), and multiple quantization formats (float32, int8, uint8, binary) via Matryoshka and quantization-aware training. Accessed via API.

  🔎Semantic search🔍Information retrieval📄Document analysis
  Text

  Released 1y ago
• Gen 7 Voyage
  Voyage multilingual 2

  By Voyage AI

  Text embedding model optimized for multilingual retrieval and RAG. Supports 27 languages including French, German, Japanese, Spanish, Korean, and English, with a 32K token context window and 1024-dimensional embeddings. Outperforms OpenAI text-embedding-3-large and Cohere multilingual v3 on average across evaluated languages.

  🔎Semantic search📚Knowledge bases📄Document analysis📊Text analysis
  Text

  Released 2y ago