Compare the Top Synthetic Data Generation Tools that integrate with JSON as of October 2025

This a list of Synthetic Data Generation tools that integrate with JSON. Use the filters on the left to add additional filters for products that have integrations with JSON. View the products that work with JSON in the table below.

What are Synthetic Data Generation Tools for JSON?

Synthetic data generation tools are software programs used to produce artificial datasets for a variety of purposes. They use a range of algorithms and techniques to create data that is statistically similar to existing real-world data but does not contain any personal identifiable information. These tools can help organizations test their products and systems in various scenarios without compromising user privacy. The generated synthetic data can also be used for training machine learning models as an alternative to using real-life datasets. Compare and read user reviews of the best Synthetic Data Generation tools for JSON currently available using the table below. This list is updated regularly.

  • 1
    Benerator

    Benerator

    Benerator

    Describe your data model on an abstract level in XML. Involve your business people as no developer skills are necessary. Use a wide range of function libraries to fake realistic data. Write your own extensions in Javascript or Java. Integrate your data processes into Gitlab CI or Jenkins. Generate, anonymize, and migrate with Benerator’s model-driven data toolkit. Define processes to anonymize or pseudonymize data in plain XML on an abstract level without the need for developer skills. Stay GDPR compliant with your data and protect the privacy of your customers. Mask and obfuscate sensitive data for BI, test, development, or training purposes. Combine data from various sources (subsetting) and keep the data integrity. Migrate and transform your data in multisystem landscapes. Reuse your testing data models to migrate production environments. Keep your data consistent and reliable in a microsystem architecture.
  • 2
    Syntho

    Syntho

    Syntho

    Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer. Connect to the source data and target environment with our out-of-the-box connectors. Syntho can connect with every leading database & filesystem and supports 20+ database connectors and 5+ filesystem connectors. Define the type of synthetization you would like to run, realistically mask or synthesize new values, automatically detect sensitive data types. Utilize and share the protected data securely, ensuring compliance and privacy are maintained throughout its usage.
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