For the fastest local setup of this model, enabling Windows Features is best.
Use the instructions provided below to complete the setup.
Hands-free setup: the system self-downloads the heavy model files.
Your resources are automatically evaluated to lock in the premium configuration.
The dots.mocr model is a stateβofβtheβart multimodal OCR system designed for highβspeed document processing. It combines vision and language modules to extract text from scanned images, handwritten notes, and naturalβscene photos with unprecedented accuracy. With a parameter count of 1.5β―B, the model runs efficiently on consumer GPUs while maintaining realβtime inference speeds. The architecture incorporates a novel attentionβbased layout analyzer that preserves structural relationships, enabling downstream tasks such as data entry and content summarization. dots.mocr also supports multilingual scripts, achieving over 90β―% wordβerrorβrate reduction on benchmark datasets compared to legacy solutions. Its modular design allows developers to fineβtune specific components, making it a versatile choice for enterprise workflow automation.
| Spec | Value |
|---|---|
| Parameters | 1.5β―B |
| Input Types | PDF, JPG, PNG, Handwritten |
| Supported Languages | 100 |
| Inference Speed | >30 fps on RTXβ―3080 |
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