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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GLM-OCR is an advanced multimodal optical character recognition system and an open-source framework that excels in delivering precise, efficient, and thorough document comprehension by integrating textual and visual elements within a cohesive encoder-decoder design inspired by the GLM-V series. This model features a visual encoder that has been pre-trained on extensive image-text datasets alongside a streamlined cross-modal connector that channels information into a GLM-0.5B language decoder. It offers capabilities for layout detection, simultaneous recognition of various regions, and structured outputs for diverse content types, including text, tables, formulas, and intricate real-world document formats. Furthermore, it employs Multi-Token Prediction (MTP) loss and robust full-task reinforcement learning techniques to enhance training efficiency, boost recognition accuracy, and improve generalization across various tasks, leading to remarkable performance on significant document understanding challenges. This innovative approach not only sets new benchmarks but also opens up possibilities for further advancements in the field of document analysis.

Description

Tungsten's OmniPage software allows users to transform any type of document into their preferred word processor format, enabling them to save, edit, and search within documents as seamlessly as they would with a Word file. Whether you have a few paper documents or millions of pages to convert, OmniPage is tailored to meet the needs of individual users, small businesses, or large enterprises alike. Its advanced features provide exceptional accuracy in conversion, along with intelligent character recognition and zonal recognition capabilities, allowing for the swift creation of editable documents. The rapid conversion process not only boosts productivity but also frees up time for users to concentrate on more strategic tasks. For those with sporadic conversion requirements or who need dedicated scanning solutions for PCs, OmniPage Standard is an excellent choice, while OmniPage Ultimate is the perfect OCR solution for small to medium-sized businesses and larger organizations seeking to enhance their efficiency and productivity significantly. Overall, OmniPage stands out as a versatile tool designed to streamline document management across various workflow scenarios.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$149 one-time payment
OmniPage Standard: $149
OmniPage Ultimate: $499
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Z.ai

Founded

2019

Country

China

Website

github.com/zai-org/GLM-OCR

Vendor Details

Company Name

Tungsten Automation

Founded

1985

Country

United States

Website

www.tungstenautomation.com/products/omnipage

Product Features

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

Product Features

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

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