What is Synthetic Data? Discover synthetic datasets and providers
What is Synthetic Data?
Synthetic data is artificially generated data that mimics the statistical properties and patterns of real-world data. It is created using algorithms or models to replicate the characteristics of the original data without containing any personally identifiable information. Synthetic data is used for various purposes, such as data analysis, machine learning training, and testing, while ensuring privacy and security.
Examples of Synthetic Data include simulated medical records, generated customer profiles, and artificial financial transactions. Synthetic Data is used for various purposes such as training machine learning models, conducting data analysis, and ensuring data privacy. Synthetic data providers offer reliable sources for obtaining synthetic data. In this page, you’ll find the best data sources for synthetic data.
Best Synthetic Datasets & APIs
TagX - Synthetic Credit card data | Debit card spend data | Transaction Data | Finance data
Syntegra Synthetic Claims Data | Medicare Claims | Multiple Formats
Facteus Transaction Data - US Consumer Payments - Enterprise (synthetic)
Synthetic image data and annotation (bounding box, segmentation, keypoint, depth, normals)
Bitext | AI Training Data | Hybrid Synthetic Data for LLM Finetuning | Custom Training and Evaluation Datasets for Chatbots
Agents Republic | Custom Multilingual Conversational AI Training Data via Audio/Voice (50+ languages) (synthetic)
TagX - Synthetic Bank Statements Data | Savings account / Checking accounts / Business accounts | Global coverage
AI & ML Training Data | Artificial Intelligence (AI) | Machine Learning (ML) Datasets | Deep Learning Datasets | Easy to Integrate | Free Sample