Deploy dots.mocr PC with NPU 2026/2027 Tutorial

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

Refer to the instructions below to proceed.

The client handles the setup, pulling gigabytes of data automatically.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

📡 Hash Check: c2374cb75bd90d972154cbb9ef5d4432 | 📅 Last Update: 2026-06-26

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CPU: modern architecture (Zen 3 / Alder Lake minimum)
RAM: 64 GB to avoid OOM crashes on large contexts
Disk Space: 100 GB for multi-modal model vision components
GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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