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Home Development Components & Libraries jPDFText

jPDFText

January 29, 2021
jPDFText is a Java software that can retrieve text from PDF files.
jPDFText
jPDFText Screenshot
Version 2021R1
License Shareware $800
Platform Windows
OS Support Win2000 WinXP WinServer WinOther WinVista
Supported Languages English
System Requirements Basic Windows
Free Version Limitations Watermark
Homepage www.qoppa.com
Developed by Qoppa Software, LLC
Are you tired of manually extracting text from PDF documents? Look no further than jPDFText, the versatile Java library designed to simplify and streamline the process. With jPDFText, you can effortlessly extract the textual content from PDFs for archiving, storage, searching, or indexing purposes.

This powerful tool is built upon Qoppas proprietary PDF technology, eliminating the need for third-party software or drivers. As an added bonus, jPDFText is platform-independent, meaning you can run it on any system that supports the Java runtime environment, including Windows, Linux, Unix (Solaris, HP UX, IBM AIX), and Mac OS X.

jPDFText boasts a robust set of features, including the ability to load PDF documents from files, network drives, URLs, or input streams, extract text in the logical reading order, and extract words as a vector of strings. Plus, because it's written in Java, you can be confident that your application will be compatible with a wide range of systems.

Deploying jPDFText is a breeze, with no need to install or configure additional drivers or software. It has been rigorously tested on JDK 1.4.2 and above, ensuring a smooth and seamless experience for users.

If you require additional information or have any questions about the capabilities of jPDFText, don't hesitate to reach out to the experts at Qoppa at info@qoppa.com. And if you're interested in recognizing text in scanned PDFs or PDFs containing images, be sure to check out our Java OCR feature!
What's New

Version 2021R1: Java 9 Support
Rich Text and Non-Latin Unicode Support in Form Fields

pdf java
Free Download 66.8M
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