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" alt="How to Run GLM-OCR 100% Private PC Step-by-Step" style="display:block; width:100%; height:auto; border-radius:8px;">
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📦 Hash-sum → 06d0d76589196bed12d614eebeef9078 | 📌 Updated on 2026-07-21
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This framework has been extensively tested on a variety of document types, including legal documents, academic papers, and technical reports. Its performance has consistently outpaced traditional OCR engines in terms of accuracy and speed. The addition of the MTP loss mechanism has proven to be particularly effective in handling complex layouts and structures. Despite its compact design, GLM-OCR is capable of processing entire books and publications with ease. In resource-constrained environments, this framework can operate without significant latency or memory usage issues. When compared to other state-of-the-art models, GLM-OCR remains a top contender due to its unique blend of visual encoding and language decoding capabilities.
Technical Specifications
- Total Parameters: 900 million parameters total, with 400 million dedicated to the visual encoder and 500 million to the language decoder.
- Visual Encoder: Utilizes CogViT, a powerful visual encoding architecture that excels at preserving document layout and structure.
- Language Decoder: Employs GLM-0.5B, a compact and efficient language decoding model capable of handling complex linguistic structures.
- Output Formats: Supports Markdown, JSON, and LaTeX formats for structured document output.
Advantages Over Traditional OCR Engines
- The MTP loss mechanism significantly improves decoding throughput while reducing system memory demands.
- GLM-OCR is capable of reconstructing intricate multilingual tables, LaTeX formulas, and handwritten text into semantic outputs.
- Presentation in structured JSON or Markdown formats enables seamless integration with existing workflow tools and platforms.
Performance Metrics
| Document Type | Accuracy (%) | Processing Time (s) |
|---|---|---|
| Legal Documents | 95.5% | 2.1 s |
| Academic Papers | 93.8% | 3.5 s |
| Technical Reports | 92.1% | 4.9 s |
Edge Computing Capabilities
The compact design of GLM-OCR makes it an ideal choice for resource-constrained edge computing environments.
Frequently Asked Questions
- What types of documents is GLM-OCR best suited for?
- The MTP loss mechanism improves what aspect of OCR performance?
- How does GLM-OCR compare to other state-of-the-art models in terms of accuracy and speed?
This framework has been widely adopted by researchers, developers, and businesses seeking to leverage the power of deep learning for document analysis and understanding. With its unique blend of visual encoding and language decoding capabilities, GLM-OCR continues to set a new standard for OCR technology.
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