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ATH-MaaS (Alibaba Token Hub Model-as-a-Service)July 15, 2026

OvisOCR2

Open Source
ocr
document-parsing
multimodal
markdown

Explore OvisOCR2

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### TL;DR

OvisOCR2 is a compact 0.8B parameter end-to-end document-parsing model that transforms document page images into structured Markdown. By eliminating the need for complex multi-stage pipelines (layout detection, OCR, and reassembly), it provides a streamlined solution for extracting text, tables, formulas, and visual regions in natural reading order.

Key Insights & Metrics

Pricing
Free & Open source
Cost structure
Version
2
Current release version
Hardware
An entry-level GPU with 4 GB to 8 GB of VRAM and roughly 3 GB of free disk space to run this highly compact model locally
Compute requirements
Category
Open Source
Licensing model
Region
China
Primary region

Key Features

  • End-to-end document parsing in a single pass
  • Outputs structured Markdown with HTML tables and LaTeX formulas
  • Highly efficient 0.8B parameter size suitable for local and edge deployment
  • State-of-the-art performance (96.58 on OmniDocBench v1.6)
  • Full compatibility with vLLM, Transformers, and SGLang inference stacks

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