Data extraction

Models 10

• Gen 7
  Celeris 1

  By Celeris

  Celeris-1 is Celeris Labs' debut model, a diffusion language model built for short, structured calls inside agentic workflows: classification, routing, structured extraction, judging/scoring, and query rewriting. It runs through an OpenAI-compatible chat-completions API and, in the provider's launch benchmarks, generated a median of 1,626 output tokens per second with short-prompt responses arriving in a median of 158ms, while scoring 75.9% on MMLU-Pro.

  📝Text generation🔄Text rewriting🔍Data extraction🔍Text classification
  NewText

  Released 4d ago
• Gen 3 Qwen
  OvisOCR2

  By Alibaba

  OvisOCR2 is a compact 0.8B parameter end-to-end model for page-level document parsing. Given a document page image, it generates a Markdown representation in natural reading order, covering text, formulas, tables, and visual regions. Built by post-training Qwen3.5-0.8B with a multi-stage SFT, RL, and OPD training recipe.

  📜OCR🔍Text extraction🔍Data extraction📄Document processing
  NewMultimodal

  Released 15d ago
• Gen 3 Mistral
  Mistral OCR 4

  By Mistral AI

  Mistral OCR 4 extracts and structures content from PDF, DOC, PPT, and OpenDocument files, returning text alongside bounding boxes, typed block classification (titles, tables, equations, signatures), and inline confidence scores. Supports 170 languages across 10 language groups. Deployable via API or self-hosted in a single container for data-sovereignty compliance.

  🔍Data extraction📄Document processing📜OCR
  NewMultimodal

  Released 1mo 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
  LFM2.5 VL 1.6B Extract

  By Liquid AI

  LFM2.5-VL-1.6B-Extract is Liquid AI’s larger vision-language extraction model for image-to-JSON structured field extraction.

  🔍Data extraction🔍Image interpretation📜OCR
  NewMultimodal

  Released 1mo ago
• Gen 7
  Cassini 1.0

  By LatentForce

  Cassini-1.0 is LatentForce’s 4B code-intelligence model for extracting structured symbolic metadata from Python, JavaScript, and TypeScript source files.

  🔍Code analysis🔍Data extraction
  NewText

  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 LFM
  LFM2.5 VL 450M Extract

  By Liquid AI

  LFM2.5-VL-1.6B-Extract is Liquid AI’s 1.6B vision-language extraction model for image-to-JSON structured field extraction.

  🔍Data extraction🔍Image interpretation📜OCR
  Multimodal

  Released 3mo ago
• Gen 7
  LFM2.5 350M

  By Liquid AI

  LFM2.5-350M is Liquid AI’s compact 350M-parameter language model optimized for fast inference, tool use, data extraction, and structured outputs. It is designed to run across cloud GPUs, CPUs, and edge devices, and is positioned for lightweight agentic workflows and large-scale data processing rather than math, coding, or creative writing.

  📚Large Language Models🔍Data extraction🔄Language model optimization🧠AI inference
  Text

  Released 3mo ago
• Gen 3 GPT
  GPT 5.4 Nano

  By OpenAI

  GPT-5.4 nano is the smallest, lowest-cost GPT-5.4-family model, optimized for speed and high-throughput tasks.

  🔍Data extraction🎯Code autocompletion🔍Image interpretation🔍Data classification
  Multimodal

  Released 4mo ago