Scanned.to Reviews

The PackageX OCR API transforms any mobile device into a powerful universal label scanner capable of reading all types of text, including barcodes and QR codes along with other label information. Our advanced OCR technology stands out in the industry, employing unique algorithms and deep learning techniques to efficiently extract data from labels. With a training dataset comprising over 10 million labels, our API achieves an impressive scanning accuracy exceeding 95%. This technology excels even in low-light environments and can interpret labels from various angles, ensuring versatility and reliability. By developing your own OCR scanner application, you can significantly reduce paper-based inefficiencies. Our OCR capabilities extend to both printed and handwritten text, making it adaptable for various use cases. Furthermore, our software is trained on multilingual label data sourced from more than 40 countries, enhancing its global applicability. Whether it’s detecting barcodes or extracting information from QR codes, our OCR solution provides comprehensive scanning functionalities. The versatility and precision of our API make it an essential tool for businesses seeking to streamline their information capture processes.

MyQ develops print management solutions offering secure, user-friendly experience across two product lines. MyQ X is a robust, feature-rich solution for small to enterprise organizations in three editions: Smart, Enterprise, and Ultimate. MyQ Roger is a public cloud-based solution designed for cloud-first environment supporting hybrid and remote workplaces.

Yandex Vision OCR excels at detecting and extracting text from images, including the addition of automatic punctuation to the results it generates. This sophisticated tool can effortlessly recognize and accommodate more than 50 languages. It proficiently extracts standard fields and processes text from a diverse array of templates and documents, such as passports, driver's licenses, vehicle registration certificates, and license plates. The technology is adept at managing both Russian and English languages, allowing it to handle combinations of handwritten and printed text without issue. Furthermore, it intelligently interprets table structures, presenting text in neatly organized row and column formats. Beyond its optical character recognition (OCR) and document identification capabilities, the system also features functionalities for recognizing license plate numbers. Yandex Vision OCR accepts file formats like JPEG, PNG, and PDF, supporting a maximum file size of 20 MB and accommodating documents of up to 300 pages. Impressively, the service can effectively scan images to identify passports from 20 different nations, in addition to various types of driver’s licenses, vehicle registration documents, and license plates, showcasing its adaptability for document processing tasks. Overall, its ability to streamline text recognition processes across a multitude of applications significantly enhances efficiency and accuracy. As technology continues to evolve, the potential uses for Yandex Vision OCR may expand even further, inviting new opportunities for integration in various fields.