Compare Apryse PDF SDK vs. Xodo

Apryse's intelligent data extraction represents a cutting-edge advancement that surpasses conventional optical character recognition (OCR). Unlike OCR, which merely transforms images of text into formats that machines can read, smart data extraction leverages artificial intelligence and machine learning to comprehend the context, significance, and interconnections of various elements within a document. This technology excels at recognizing key-value pairs, tables, and other forms of non-textual data, effectively converting unstructured information into a well-organized, functional format such as JSON.

Document Creation: Apryse offers robust document creation features that enable businesses to generate precise, brand-consistent documents in large volumes, automatically from their data, eliminating the need for manual formatting. Primarily utilizing the iText engine, this solution facilitates the server-side production of PDFs and various document types directly from templates, databases, or application data.

Document Solutions for Contemporary Applications: Apryse delivers a robust infrastructure for handling and processing documents, enabling document-focused workflows within various software solutions. Instead of functioning as an independent document management platform, Apryse provides a collection of integratable SDKs that empower independent software vendors (ISVs), large enterprises, and developers to seamlessly incorporate features such as viewing, editing, generating, converting, and capturing data directly into their applications, eliminating the need to manage this technology in-house.

Apryse's Intelligent Document Processing (IDP) features merge document capture, optical character recognition (OCR), and data extraction technologies to convert unstructured or physical documents into organized, usable data. This data can be seamlessly integrated into both customer-oriented and internal applications, rather than being offered as a separate platform.

Apryse OCR is an integrated, self-managed optical character recognition SDK designed for offline usage. It processes scanned images and image-based PDFs, effectively identifying both printed and machine-generated text. The output can either be a searchable PDF complete with a selectable text layer or structured text that includes positional data, suitable for further processing.

Apryse's PDF functionalities serve as the foundational element of its extensive product range, offering a robust, developer-friendly PDF engine designed for seamless integration. This engine adeptly manages tasks such as viewing, editing, creating, converting, and manipulating PDFs in various environments, including web, mobile, and server platforms. Instead of depending on a singular, comprehensive PDF application, Apryse empowers developers by providing detailed, SDK-level management of each phase in the PDF lifecycle.

Apryse Empowers Versatile PDF Editing Across Platforms: Editing PDFs can be inherently challenging. Achieving a harmonious balance between maintaining layout fidelity, ensuring security, and providing a seamless user experience is no small feat. Apryse offers developers adaptable solutions for integrating editing capabilities in appropriate contexts, featuring client-side editing for dynamic in-app engagement or server-side editing for secure and centralized management.

Apryse's PDF SDKs serve as the core for the entire range of products, offering a collection of embeddable libraries designed for developers. These SDKs empower engineering teams with direct, code-level capabilities for tasks such as PDF viewing, creation, editing, and conversion, and can be implemented across various platforms including web, mobile, desktop, and server environments.