
Foxit provides a powerful portfolio of cloud-native APIs built to help organizations streamline, secure, and scale document-centric workflows. Leveraging flexible REST-based architecture, Foxit APIs enable developers to integrate document creation, conversion, extraction, signing, and viewing capabilities directly into their applications—driving greater efficiency and reducing operational complexity.
The Foxit PDF Services API supports high-volume PDF processing tasks such as conversion, extraction, optimization, and redaction. The Document Generation API automates the creation of customized PDFs and DOCX files using dynamic templates and real-time data sources. The Foxit eSign API embeds compliant, legally binding eSignature workflows with advanced audit and tracking features. The PDF Embed API enables fully customizable in-app PDF viewing with support for annotations, forms, and secure access controls.
Together, Foxit APIs deliver a secure, scalable foundation for end-to-end document automation and digital workflow transformation.
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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.
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InkScan
Convert your handwritten materials, which may be hard to read, into clear text using our advanced OCR technology. Just upload your messy notes, elegant cursive writings, or old documents, and in seconds, you'll get editable text with a remarkable accuracy of 90–95% for authentic handwriting, all starting at a low price of only $0.01 per page. Enjoy the ease of transforming even your toughest documents into usable information without hassle, making it a seamless solution for all your transcription needs.
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GrabText
GrabText is a cutting-edge online OCR solution that specializes in transforming images into editable text, emphasizing handwriting recognition and the processing of LaTex math equations. This robust application utilizes state-of-the-art artificial intelligence to accurately decode text in more than 260 languages for printed materials and 9 languages for handwritten text.
Users enjoy an intuitive interface that eliminates the need for installations—simply navigate to the website to upload images or PDFs, or take a photo on the spot. In just moments, GrabText swiftly extracts text, facilitating a seamless conversion process. For individuals dealing with mathematical content, enabling the "MATH" feature allows the tool to automatically recognize and convert math equations into standard LaTex format, ensuring they can be used with various Word or PDF editing software. Experience the effortless efficiency of GrabText, where converting images into text is both straightforward and effective. Furthermore, this tool is thoughtfully crafted to meet a wide array of user requirements, establishing itself as an adaptable option for anyone aiming to enhance their document processing workflow. Whether for personal or professional use, GrabText provides an essential resource in digital text management.
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