If you want the fastest local installation for this model, use Docker.
Follow the step-by-step instructions below.
1-click setup: the app automatically fetches the large weight files.
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
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 |
- Setup utility configuring Amuse local image generator for AMD GPUs
- Full Deployment dots.mocr on Your PC with 1M Context
- Script automating visual encoder weight downloads for advanced multi-modal vision tasks
- How to Launch dots.mocr Windows 11 Uncensored Edition Windows FREE
- Downloader pulling refined instance segmentation models for offline medical imaging
- dots.mocr Fully Jailbroken FREE
- Setup utility configuring Amuse software for offline image generation via ROCm backends
- Full Deployment dots.mocr 100% Private PC Full Speed NPU Mode Direct EXE Setup FREE