20 AI-Powered Tools for Generating Synthetic Data
The AI revolution we're experiencing today is largely driven by the vast amount of data available for mining and analysis. However, gathering real-world data comes with its own set of challenges, such as privacy concerns, security risks, and high costs.
This is where synthetic data comes in—a type of data generated by AI that closely mimics real-world data, offering a cost-effective, time-efficient, and safer alternative.
Below is a list of 20 generative AI tools designed to create synthetic data, including both free and paid options:
1. Mostly
Mostly is a well-established platform for generating synthetic data that closely resembles real-world data. It’s widely used across industries like finance, retail, telecommunications, and healthcare. Recognized as a "Cool Vendor" by Gartner, it enables the creation of datasets that are compliant with privacy regulations like GDPR and CCPA. The platform's user-friendly interface allows for natural language queries, and it includes safeguards to prevent the introduction of bias in the generated data.
2. Gretel
Gretel simplifies the creation of tabular, unstructured, and time-series data for various analytics and machine learning applications. Designed for ease of use, it allows users to generate synthetic data with minimal coding skills. It integrates seamlessly with most cloud and data warehouse infrastructures and has an active community for support.
3. Synthea
Synthea is a free, open-source tool designed specifically for healthcare analytics. It generates synthetic patient data, including entire medical records, allowing researchers to work on healthcare problems without privacy or ethical concerns related to real patient data.
4. Tonic
Tonic is a comprehensive platform tailored for software and AI development, offering realistic, compliant, and secure synthetic data. Besides data generation, it provides de-identification features for anonymizing real-world data. Tonic can be deployed on-premises or accessed via the cloud, integrating with all commonly used databases.
5. Faker
Faker is a library available for Python, JavaScript, and several other languages, making it ideal for users with coding knowledge. It’s popular for generating fake data, such as e-commerce behaviors and financial transactions, which can be used to train recommendation engines or fraud detection algorithms without compromising privacy.
More Generative AI Tools for Synthetic Data
In addition to the five tools mentioned above, here are several other noteworthy options:
