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What is mT5?
The multilingual T5 (mT5) is an exceptionally adaptable pretrained text-to-text transformer model, created using a methodology similar to that of the original T5. This repository provides essential resources for reproducing the results detailed in the mT5 research publication.
mT5 has undergone training on the vast mC4 corpus, which includes a remarkable 101 languages, such as Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, and many more. This extensive language coverage renders mT5 an invaluable asset for multilingual applications in diverse sectors, enhancing its usefulness for researchers and developers alike.
What is OCR Studio?
ID Reader from OCR Studio is a sophisticated AI-driven software that excels in recognizing a multitude of identity documents, enabling rapid scanning and data extraction from a vast array of ID formats. Supporting more than 104 languages, including Latin, Cyrillic, Arabic, Farsi, Hebrew, Chinese, Japanese, Korean, and Hindi, it ensures that users globally can easily access its features. With a library of over 4000 templates from more than 200 countries, the software efficiently processes various forms of identification such as passports, driver’s licenses, visas, residence permits, work permits, and migration cards. Its MRZ zone scanning capability allows for thorough data extraction, enhancing its omnidata processing abilities. The addition of face matching further strengthens identity verification by cross-referencing the document's photo with a selfie, thereby increasing security. The multi-platform AI-integrated SDK ensures seamless implementation in web apps, servers, cloud services, and mobile platforms, with all ID processing functionalities operating directly on the device to eliminate data transmission needs. Compatible with Android, iOS, Windows, and Linux, this solution appeals to a wide range of users. For those intrigued by its features, demo applications are available on both Google Play and the Apple App Store, providing an opportunity for prospective users to experience its capabilities firsthand, making it an accessible choice for anyone in need of advanced ID recognition technology.
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Integrations Supported
API Availability
API Availability
Pricing Information
Free
Open source
Free Version
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Not specified
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
github.com/google-research/multilingual-t5
Company Facts
Organization Name
OCR Studio
Date Founded
2019
Company Location
United Arab Emirates
Company Website
ocrstudio.ai
Categories and Features
AI Models
Not specified
Large Language Models
Not specified
Categories and Features
OCR
Not specified