Compare Adobe PDF Services API vs. Aquaforest SDK in 2026

Aquaforest SDK

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Description

Generate a PDF from Microsoft Office files, safeguard the information, and seamlessly convert it into various formats. You can programmatically manipulate documents by reordering, inserting, and rotating pages, along with compressing the file sizes. Utilize the same cloud-based APIs that power Adobe's user-focused applications to efficiently provide scalable and secure solutions. Extracting text, images, tables, and other content from both native and scanned PDFs can be done, resulting in a well-structured JSON file. The PDF Extract API utilizes advanced AI technology to precisely recognize text elements and comprehend the natural flow of reading different components, such as headings, lists, and paragraphs that may extend across multiple columns or pages. Additionally, you can capture font styles and metadata, identifying characteristics like bold and italic text along with their respective positions in the PDF. The resulting information is formatted in a structured JSON file, with tables available in CSV or XLSX formats and images stored as PNG files. This comprehensive approach ensures that users can efficiently manage and manipulate their PDF documents while preserving essential data integrity.

Description

The Aquaforest SDK is a robust set of tools designed for comprehensive PDF processing, offering features such as content extraction, the creation of searchable PDFs, and OCR capabilities powered by both its native engine and extended options from Canon IRIS, along with handwriting recognition via Google and Microsoft APIs. With an advanced PDF and barcode toolkit, it boasts high performance levels, capable of utilizing up to 64 cores for efficient processing. This SDK can effectively analyze PDF documents to automatically extract name/value pairs, facilitating a range of PDF manipulations including merging, attachment processing, content extraction, XMP metadata handling, and PDF/A validation, among others. The standard OCR engine included supports 23 languages and is available in all versions of the SDK, ensuring versatility for various applications. Furthermore, it provides seamless access to Google and Microsoft’s cloud OCR services, which is particularly advantageous for specific tasks such as recognizing handwritten text. Additionally, the SDK has the ability to read and interpret most common barcode formats, enhancing its utility in diverse document processing scenarios.