These tools can allow your applications to detect and prevent bad data at the time of entry and to correct bad data after it has been entered. Verify, cleanse, format, deduplicate.

C/C++ Data Validation & Cleansing Components by PDF Tools AG

3-Heights™ PDF Validator API V1.7

The 3-Heights™ PDF Validator verifies if PDF documents conform to the PDF Reference or to the new international standard for long-term electronic archiving: PDF/A. Individual company requirements beyond the PDF/A standard can also be verified during the analysis process.

C/C++ Data Validation & Cleansing Components by Accusoft Corp

ImageGear Medical Transport v4.8

ImageGear Medical Transport enables developers to speed the creation of next-generation medical applications that interface with DICOM-compliant devices and provides everything you need to build the most reliable healthcare informatics systems, records management applications, and other medical solutions. With support for more than 100 image formats and the industry’s fastest code—backed by the AccuSoft Image Guarantee—ImageGear Medical Transport is the Global Standard for imaging development.

C/C++ Data Validation & Cleansing Components by AddressDoctor GmbH

AddressDoctor Enterprise 4.1.12

AddressDoctor Enterprise was developed to offer a convincing solution with the continuously rising demands for better data quality. In almost all cases humans are the cause for faulty or incomplete data entry. AddressDoctor Enterprise offers powerful software libraries to correct and support user input. These libraries can be integrated into own application and offer correction function for 240 countries and territories through a single interface.

C/C++ Data Validation & Cleansing Components by DQ Global

DQ Toolkit  -  Designed for developers, the flexible DQ Toolkit combines a comprehensive library of data transformation lookups, advanced Fonetix™ algorithms and revolutionary match engine to overcome the shortcomings of traditional computing techniques to effectively treat a wide range of unhealthy data symptoms.