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What is JPedal?

JPedal simplifies the process of handling PDF files in Java, allowing developers to accomplish common tasks with just a few lines of code. For over two decades, IDRsolutions has been dedicated to enhancing this software, ensuring it can effectively address any challenging PDF issues. It fully supports all PDF 2.0 specifications, incorporating features like Encryption and Blending, Forms and Annotations, as well as PostScript and OpenType fonts. The library is rich with sample code and APIs that seamlessly fit into your applications, enabling feature additions with merely 2-3 lines of code. JPedal utilizes its proprietary font engine and custom image libraries to deliver superior image quality while maximizing performance for Java applications. The development of JPedal is ongoing, with nightly builds and monthly updates ensuring users have access to the latest improvements. Furthermore, the same team that develops the code is also available to provide support, ensuring a cohesive experience for users. This commitment to development and support makes JPedal a reliable choice for Java developers dealing with PDF functionalities.

What is Aquaforest SDK?

The Aquaforest SDK is a comprehensive toolkit tailored for PDF processing, featuring capabilities such as content extraction, the creation of searchable PDFs, and advanced OCR functionalities that utilize both the standard Aquaforest engine and the upgraded Canon IRIS engine, as well as handwriting recognition through Google and Microsoft APIs. It includes a powerful PDF and barcode toolkit optimized for performance, capable of utilizing up to 64 processing cores for various tasks. This SDK enables efficient analysis of PDF documents, automating the extraction of name/value pairs for subsequent applications. Among its extensive manipulation options are features for merging PDFs, managing attachments, extracting content, processing XMP metadata, and ensuring PDF/A compliance, among others. The standard OCR engine remarkably supports 23 languages and is accessible across all SDK versions, which enhances its versatility in multiple contexts. In addition, the tool integrates effortlessly with cloud OCR services from Google and Microsoft, providing significant advantages for specialized tasks like handwriting recognition. The SDK also excels in reading and identifying a diverse array of standard barcode formats, further expanding its potential use cases in various industries. With continuous updates and improvements, the Aquaforest SDK remains a leading choice for developers seeking robust PDF processing solutions.

Media

Media

Integrations Supported

.NET
C#
C++
Google Cloud Platform
Java
Microsoft 365
Visual Basic

Integrations Supported

.NET
C#
C++
Google Cloud Platform
Java
Microsoft 365
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

$950 one time fee
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IDR Solutions

Date Founded

1999

Company Location

United Kingdom

Company Website

www.idrsolutions.com/jpedal/

Company Facts

Organization Name

Aquaforest

Company Location

United Kingdom

Company Website

www.aquaforest.com/products/sdk

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

PDF

Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking

Categories and Features

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