What is Synthetic Data? Discover synthetic datasets and providers
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
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 Databases & Datasets
Here is our curated selection of top Synthetic Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
TagX - Synthetic Bank Statements Data | Savings account / Checking accounts / Business accounts | Global coverage
Syntegra Synthetic Claims Data | Medicare Claims | Multiple Formats
Synthetic Dataset for AI - Jpeg, PNG & PDF
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)
AI & ML Training Data | Artificial Intelligence (AI) | Machine Learning (ML) Datasets | Deep Learning Datasets | Easy to Integrate | Free Sample
Syntegra Synthetic EHR Data | Structured Healthcare Electronic Health Record Data
Synthetic Document Dataset for AI - Jpeg, PNG & PDF formats
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Top Synthetic Data Providers & Companies
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WayWithWords
CoverageSouth AfricaHaving produced proprietary speech datasets for customers over the years, Way With Words is now listing its own off-the-shelf datasets in order to...Compliant -
bitext
CoverageUSAUnited Kingdom+247Bitext has been providing NLP/NLG data services to 3 of the top 5 companies on NASDAQ for the last 10 years.AccuracyCost savingTime reduction -
Syntegra
CoverageUSASyntegra creates accurate, privacy-guaranteed synthetic data that bridges the gap between data privacy and data science needs in healthcare,... -
APISCRAPY
CoverageUSAUnited Kingdom+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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Mirage
CoverageUSAUnited Kingdom+247Any type of computer vision model is accessible with synthetic data. You can control the data distribution and quantity with high precision....Pixel perfect annotationEvery edge case is reachableBuilt in privacy -
Agents Republic
CoverageUSAUnited Kingdom+238We provide the human capital, technology, proven processes and management expertise to generate training data sets based on the specific...ScaleableLanguages and dialectsWork-at-home agents
Popular Use Cases for Synthetic Data
Synthetic Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Synthetic Data.
Main Attributes of Synthetic Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a brand. | View 5 datasets | |
| String | The currency code as per ISO 4217. | View 5 datasets | |
| String | The ticker symbol of a stock. | View 5 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 2 datasets | |
| String | The name of a language as per ISO 639. | View 2 datasets | |
| String | The email address of a company or contact. | View 1 datasets |
Frequently Asked Questions
Where Can I Buy Synthetic Data?
You can explore our data marketplace to find a variety of Synthetic Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Synthetic Data Maintained?
The quality of Synthetic Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Synthetic Data Updated?
The update frequency for Synthetic Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Synthetic Data Secure?
The security of Synthetic Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Synthetic Data Delivered?
Synthetic Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Synthetic Data.
How Much Does Synthetic Data Cost?
The cost of Synthetic Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Synthetic Data for your needs.
What Are Similar Data Types to Synthetic Data?
Synthetic Data is similar to other data types, such as Annotated Imagery Data, Machine Learning (ML) Data, Deep Learning (DL) Data, Textual data, and Audio Data. These related categories are often used together for applications like Neural Networks.
