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What is PDFBox?

The Apache PDFBox® library is a dynamic open-source solution in Java designed for handling PDF documents effectively. This project not only allows users to create new PDFs but also to modify existing ones and extract various types of content from those files. In addition, Apache PDFBox includes numerous command-line utilities that expand its capabilities even further. Distributed under the Apache License v2.0, the library provides functions for extracting Unicode text from PDFs, splitting a single PDF into several files, and merging multiple PDFs into one cohesive document. Users can also extract data from forms, fill out PDF forms, and ensure that their files meet the PDF/A-1b validation standard. The ability to print PDFs using the standard Java printing API, as well as to create new PDFs that incorporate embedded fonts and images, is also part of its robust feature set. Moreover, users can save PDFs as image files in formats such as PNG or JPEG, which adds to its versatility. The library further allows for the digital signing of PDF documents, thereby enhancing their authenticity and security. Lastly, it is crucial for users to examine the export control information related to the encryption features offered by Apache PDFBox to ensure adherence to applicable regulations, making it a comprehensive tool for PDF management.

What is Datafari?

Datafari, which is licensed under Apache v2, serves as a robust business search engine offering a range of connectors and intuitive interfaces suitable for both users and administrators. It integrates enterprise-level security measures and provides a commercial version that includes dedicated support services. Essentially, Datafari distinguishes itself by being among the few packaged solutions available under the Apache license, thereby eliminating obstacles for companies eager to create and market their own solutions using similar technology. By leveraging Datafari, businesses can fully tap into this potential, as it uniquely integrates SolrCloud, enabling effortless scalability. A multitude of clients are already reaping the benefits of implementing Datafari, with executable files readily available on its reference site. Additionally, the source code is hosted on GitHub, and users are invited to participate in the Datafari forum for support and community interaction. This collaborative effort not only improves the overall user experience but also stimulates ongoing innovation within the Datafari ecosystem, fostering a vibrant community around its capabilities. This dynamic environment encourages users to share ideas and contribute to future developments, ensuring that Datafari remains at the forefront of business search solutions.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

pdfbox.apache.org

Company Facts

Organization Name

France Labs

Date Founded

2011

Company Location

France

Company Website

www.francelabs.com

Categories and Features

PDF

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

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

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