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What is Scanned.to?

Scanned.to employs advanced AI-driven OCR and translation technologies to optimize scanned files and PDFs. Unlike basic text extraction techniques, it carefully reconstructs entire documents while preserving their original layout and formatting, allowing users to edit text without compromising the design's integrity. The platform supports translation in more than 50 languages and employs specialized models tailored for different types of documents, including certificates, contracts, menus, and technical papers. Noteworthy features include precise document translation, advanced OCR capabilities that cater to both printed and handwritten materials, and secure document sharing complemented by analytical insights. Furthermore, to safeguard privacy and security, all documents are automatically deleted from the system after 30 days, ensuring that user data remains protected. This holistic approach not only enhances accessibility but also significantly improves the overall user experience while adapting to various document needs. By streamlining the process of document handling, Scanned.to empowers users to work more efficiently and effectively.

What is GLM-OCR?

GLM-OCR represents a cutting-edge multimodal optical character recognition solution and an open-source framework that stands out by providing accurate, efficient, and comprehensive document understanding through the seamless integration of text and visual components within a unified encoder-decoder framework inspired by the GLM-V series. It incorporates a visual encoder that has been pre-trained on a vast array of image-text datasets and features an efficient cross-modal connector that feeds data into a GLM-0.5B language decoder. The system is equipped with capabilities for detecting layouts, recognizing multiple areas simultaneously, and generating structured outputs that accommodate a variety of content types, such as text, tables, formulas, and complex real-world document formats. Moreover, it utilizes Multi-Token Prediction (MTP) loss alongside advanced full-task reinforcement learning methods to improve training efficiency, enhance recognition accuracy, and foster better generalization across different tasks, ultimately leading to outstanding results in significant document understanding challenges. By employing this novel approach, GLM-OCR not only establishes new performance standards but also paves the way for future innovations in the realm of document analysis and understanding. As a result, it has the potential to revolutionize how documents are interpreted and processed in various applications.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$5 pay-as-you-go
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scanned.to

Date Founded

2024

Company Location

United States

Company Website

scanned.to

Company Facts

Organization Name

Z.ai

Date Founded

2019

Company Location

China

Company Website

github.com/zai-org/GLM-OCR

Categories and Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Categories and Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

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