GLM-OCR

GLM-OCR

Z.ai
PanGu-α

PanGu-α

Huawei
+
+

Related Products

  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • LogicalDOC
    125 Ratings
    Visit Website
  • Nutrient SDK
    104 Ratings
    Visit Website
  • Square 9
    403 Ratings
    Visit Website
  • Apryse PDF SDK
    149 Ratings
    Visit Website
  • MyQ
    179 Ratings
    Visit Website
  • LM-Kit.NET
    23 Ratings
    Visit Website
  • onPhase
    216 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    374 Ratings
    Visit Website

About

GLM-OCR is a multimodal optical character recognition model and open source repository that provides accurate, efficient, and comprehensive document understanding by combining text and visual modalities into a unified encoder–decoder architecture derived from the GLM-V family. Built with a visual encoder pre-trained on large-scale image–text data and a lightweight cross-modal connector feeding into a GLM-0.5B language decoder, the model supports layout detection, parallel region recognition, and structured output for text, tables, formulas, and complicated real-world document formats. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization, achieving state-of-the-art benchmarks on major document understanding tasks.

About

PanGu-α is developed under the MindSpore and trained on a cluster of 2048 Ascend 910 AI processors. The training parallelism strategy is implemented based on MindSpore Auto-parallel, which composes five parallelism dimensions to scale the training task to 2048 processors efficiently, including data parallelism, op-level model parallelism, pipeline model parallelism, optimizer model parallelism and rematerialization. To enhance the generalization ability of PanGu-α, we collect 1.1TB high-quality Chinese data from a wide range of domains to pretrain the model. We empirically test the generation ability of PanGu-α in various scenarios including text summarization, question answering, dialogue generation, etc. Moreover, we investigate the effect of model scales on the few-shot performances across a broad range of Chinese NLP tasks. The experimental results demonstrate the superior capabilities of PanGu-α in performing various tasks under few-shot or zero-shot settings.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, researchers, and engineers wanting a tool to accurately parse and understand complex documents, layouts, and visual-text content at scale

Audience

AI developers interested in a powerful large language model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Z.ai
Founded: 2019
China
github.com/zai-org/GLM-OCR

Company Information

Huawei
Founded: 1987
China
arxiv.org/abs/2104.12369

Alternatives

HunyuanOCR

HunyuanOCR

Tencent

Alternatives

PanGu-Σ

PanGu-Σ

Huawei
CodeT5

CodeT5

Salesforce
Mu

Mu

Microsoft
DeepSpeed

DeepSpeed

Microsoft
Mistral OCR 3

Mistral OCR 3

Mistral AI

Categories

Categories

Integrations

No info available.

Integrations

No info available.
Claim GLM-OCR and update features and information
Claim GLM-OCR and update features and information
Claim PanGu-α and update features and information
Claim PanGu-α and update features and information