GLM-OCR

GLM-OCR

Z.ai
Karlo

Karlo

Kakao Brain
+
+

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

Karlo stands as a groundbreaking model for generating images based on text prompts. It builds upon OpenAI's remarkable unCLIP architecture but takes a step further by enhancing the standard super-resolution model, allowing it to recover intricate details at a remarkable resolution of 256px, all while minimizing noise through a limited number of denoising steps. To create Karlo, we embarked on an extensive training process. We started from scratch, utilizing a vast dataset of 115 million image-text pairs, which included COYO-100M, CC3M, and CC12M. In the case of the Prior and Decoder components, we harnessed the power of ViT-L/14, a text encoder from OpenAI's CLIP repository. To optimize efficiency, we made a significant modification to the original unCLIP implementation. Instead of employing a trainable transformer in the decoder, we integrated the text encoder from ViT-L/14.

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 an image generation 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

Pricing

Free
Free Version
Free Trial

Pricing

Free
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

Kakao Brain
Founded: 2017
South Korea
github.com/kakaobrain/karlo

Alternatives

CodeT5

CodeT5

Salesforce

Alternatives

YandexART

YandexART

Yandex
HunyuanOCR

HunyuanOCR

Tencent
Mu

Mu

Microsoft
pixray

pixray

Replicate
Janus-Pro-7B

Janus-Pro-7B

DeepSeek
Mistral OCR 3

Mistral OCR 3

Mistral AI
Imagen 3

Imagen 3

Google

Categories

Categories

Integrations

B^ DISCOVER
B^ EDIT

Integrations

B^ DISCOVER
B^ EDIT
Claim GLM-OCR and update features and information
Claim GLM-OCR and update features and information
Claim Karlo and update features and information
Claim Karlo and update features and information