Install dots.mocr Offline Setup

📄 Hash Value: f17e6eac15f3940961a6289bdfab33d0 | 📆 Update: 2026-07-13



  • Processor: high single-core performance needed for token latency
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: at least 100 GB for multiple local LLM variants
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

Unlocking Efficient Document Processing with dots.mocr

The dots.mocr model revolutionizes document processing by harnessing the power of multimodal OCR. By integrating vision and language modules, it extracts text from diverse sources such as scanned images, handwritten notes, and natural-scene photos with unprecedented accuracy. With a parameter count of 1.5B, this cutting-edge model efficiently runs on consumer GPUs while delivering real-time inference speeds. This innovative architecture incorporates an attention-based layout analyzer that preserves structural relationships, enabling downstream tasks like data entry and content summarization. The modular design of dots.mocr empowers developers to fine-tune specific components, making it a versatile choice for enterprise workflow automation.

  • Supports multiple input formats, including PDF, JPG, PNG, and handwritten documents.
  • Achieves an impressive 90% word-error-rate reduction on benchmark datasets compared to legacy solutions.
  • Employs an attention-based layout analyzer to preserve structural relationships in the extracted text.
Specification Value
Parameters 1.5 B
Input Types PDF, JPG, PNG, Handwritten
Supported Languages 100
Inference Speed >30 fps on RTX 3080

Key Benefits of dots.mocr:*

  • High-speed document processing with unprecedented accuracy.
  • Real-time inference speeds for efficient workflow automation.
  • Modular design allows developers to fine-tune specific components.

Real-World Applications:*

Dots.mocr is poised to revolutionize enterprise workflow automation by providing a flexible and scalable solution for document processing.

Unlocking Efficient Document Processing with dots.mocr

The dots.mocr model revolutionizes document processing by harnessing the power of multimodal OCR. By integrating vision and language modules, it extracts text from diverse sources such as scanned images, handwritten notes, and natural-scene photos with unprecedented accuracy. With a parameter count of 1.5B, this cutting-edge model efficiently runs on consumer GPUs while delivering real-time inference speeds. This innovative architecture incorporates an attention-based layout analyzer that preserves structural relationships, enabling downstream tasks like data entry and content summarization. The modular design of dots.mocr empowers developers to fine-tune specific components, making it a versatile choice for enterprise workflow automation.

  • Supports multiple input formats, including PDF, JPG, PNG, and handwritten documents.
  • Achieves an impressive 90% word-error-rate reduction on benchmark datasets compared to legacy solutions.
  • Employs an attention-based layout analyzer to preserve structural relationships in the extracted text.
Specification Value
Parameters 1.5 B
Input Types PDF, JPG, PNG, Handwritten
Supported Languages 100
Inference Speed >30 fps on RTX 3080

Key Benefits of dots.mocr:*

  • High-speed document processing with unprecedented accuracy.
  • Real-time inference speeds for efficient workflow automation.
  • Modular design allows developers to fine-tune specific components.

Real-World Applications:*

Dots.mocr is poised to revolutionize enterprise workflow automation by providing a flexible and scalable solution for document processing.

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