PDF Association logo.

Facebook
Twitter
YOUTUBE
LINKEDIN
XING
Datalogics
Status: Partner Member
Country: US
Sector: All industries
Contact:
Joined at: Feb 08
Website: http://www.datalogics.com/

Linked User
Maryanne Pavlin
Matt Kuznicki
Nicki Bullock
Vel Genov
Emma Kaschke
Leonard Ho

Datalogics Announces Release of the New PDF CHECKER Scriptable Server Tool

Datalogics, the premier source for PDF, EdTech and eBook technologies, announces the release of PDF CHECKER – a free scriptable server tool. PDF CHECKER enables users to detect a variety of PDF error and problem conditions that may impact the ability and reliability of other tools and software to properly view or process PDF files. PDF CHECKER is offered as an executable file that can easily be integrated into existing workflows, providing users with an automated PDF document checking and analysis process.

Built on the Adobe PDF Library, this new PDF CHECKER tool is an ideal early warning solution to flag potentially problematic PDF files before they make it into your system. With PDF CHECKER, users can simply select specific errors to identify, run the application, and the tool will provide an output report file that clearly identifies specific issues with the PDF document. PDF CHECKER can scan a wide variety of PDF files and offers the same enterprise-level reliability that the Adobe PDF Library is known for.

“PDF CHECKER will provide businesses with peace-of-mind by correctly flagging issues that need to be fixed within their PDF document. For many of these issues, Datalogics PDF OPTIMIZER can resolve these automatically. By doing this, they can ensure that their PDF files will work as intended for viewing and processing,” says Vel Genov, Senior Product Manager for the Datalogics PDF product line.

With the increased prevalence and reliance on PDF as a standard enterprise document format, ensuring that PDF files are free of potential errors and correctly formatted is especially critical when importing PDFs into Digital Asset Management (DAM), Enterprise Resource Management (ERP), Customer Relationship Management (CRM), or other document management systems.

If you’d like to try the application, click here for a free download.

Related Products
Adobe PDF Library


The Adobe PDF Library SDK is a low-level PDF library that contains a powerful set of native C/C++ APIs with interfaces for .NET and Java APIs. Systems integrators, independent software vendors (ISVs), enterprise IT developers, and others can integrate Adobe PDF functionality within custom applications in a client and / or server environment.

PDF Java Toolkit


Datalogics PDF Java Toolkit is a native Java library that provides high-level APIs for automating PDF workflows like processing PDF forms, verifying digital signatures, and extracting text. It also offers low-level APIs for working directly with the structure of the PDF for those times you need it.

Adobe PDF Converter


Adobe Normalizer, is an API which allows developers to quickly and easily convert Encapsulated PostScript (EPS) and PostScript (PS) files to Adobe’s Portable Document Format (PDF). The industry-standard Adobe Distiller and Distiller Server are themselves built upon PDF Converter SDK; and now this API is available separately to application developers.

Adobe PDF Print Engine


The Adobe PDF Print Engine is a common rendering engine technology, packaged as a software development kit (SDK). It can be the basis for a variety of products for previewing and printing Adobe Portable Document Format (PDF) documents at different stages of the professional print workflow.

PDF2IMG


Datalogics PDF2IMG is a command-line utility that converts PDF files to a variety of image formats including PNG, JPG, TIFF, BMP, and more. It is built upon the Adobe PDF Library and uses Adobe technology for unrivaled color management during the PDF conversion process

PDF Alchemist


Datalogics PDF Alchemist is a new (C/C++) SDK for intelligently extracting text and images from PDFs and exporting to HTML 5 or EPUB. It employs sophisticated techniques to identify and reconstruct “text flows” within the PDF.