Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

The Apache PDFBox® library serves as a versatile open-source tool in Java for managing PDF documents. This project facilitates the creation of new PDFs, as well as the modification of existing ones and the extraction of content from those documents. Additionally, Apache PDFBox features a variety of command-line utilities that enhance its functionality. Released under the Apache License v2.0, this library allows users to extract Unicode text from PDFs, split a single PDF into multiple files, or combine several PDFs into one. It also enables the extraction of data from forms or the filling of PDF forms, along with validating PDF files according to the PDF/A-1b standard. Users can print PDFs via the standard Java printing API, create new PDFs from scratch that include embedded fonts and images, and save PDFs as image files like PNG or JPEG. Furthermore, the library offers the capability to digitally sign PDF documents, enhancing their authenticity and security. It's important to note that users should review the export control information concerning the encryption features provided by Apache PDFBox for compliance with regulations.

Description

The PDFix SDK empowers users to automatically enhance the accessibility of existing PDF documents. It facilitates the conversion of standard PDFs into high-quality, accessible PDF/UA formats. With its auto-tagging capability, the SDK identifies crucial document elements such as text, images, tables, headers and footers, headings, lists, and reading order. By enabling automated batch processing, it not only saves valuable time but also significantly lowers remediation expenses. If you've ever attempted to extract information from multiple PDF files, you certainly understand the challenges involved. Utilizing advanced machine learning techniques, the SDK has developed an algorithm that enables seamless and structured data extraction. As a result, users can easily identify various logical components, including text, headings, images, tables, headers and footers, and lists. Furthermore, it allows for scraping data from PDFs and converting it into your preferred formats, such as HTML, CSV, JSON, or XML, making the process much more efficient and user-friendly. This functionality is particularly beneficial for organizations aiming to improve their document accessibility and streamline data management.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$490 per year
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

pdfbox.apache.org

Vendor Details

Company Name

PDFix

Country

Slovakia

Website

pdfix.net

Product Features

PDF

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

Product Features

PDF

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

Alternatives

JPedal Reviews

JPedal

IDR Solutions

Alternatives

Foxit PDF SDK Reviews

Foxit PDF SDK

Foxit Software
jPDFEditor Reviews

jPDFEditor

Qoppa Software
jPDFWeb Reviews

jPDFWeb

Qoppa Software
pdfRest Reviews

pdfRest

Datalogics Inc.