What is Synthetic Data? Discover synthetic datasets and providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- 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
Synthetic Dataset for AI - Jpeg, PNG & PDF
Syntegra Synthetic Claims Data | Medicare Claims | Multiple Formats
Synthetic image data and annotation (bounding box, segmentation, keypoint, depth, normals)
Synthetic Document Dataset for AI - Jpeg, PNG & PDF formats
AI Training Data | Annotated Checkout Flows for Retail, Restaurant, and Marketplace Websites
Scanner US Point of Sale (POS) Data | USA Data | Consumer Data from 100K+ Retail Stores, 250 Companies, 200 Symbols & Tickers, 5 Years History
Speech Synthesis Data | 400 Hours | TTS Data | Audio Data | AI Training Data| AI Datasets
99finder | Manufacturer Database with 27M Companies | from 150+ Countries | Real-Time Data Insights
Large Language Model (LLM) Data | 10 Million POI Average Noise Levels | 35 B + Data Points | 100% Traceable Consent
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Top Synthetic Data Providers & Companies
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WayWithWords
CoverageSouth AfricaVWe partnered with WayWithWords on AI Data Collection (simulating spontaneous conversations), Transcription, and Annotation services in multiple languages, including UK English, AU English, ZA English, and Afrikaans. It was a pleasure working with the team at WayWithWords, as they are very professional, communicative, and organized.
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Syntegra
CoverageUSASyntegra creates accurate, privacy-guaranteed synthetic data that bridges the gap between data privacy and data science needs in healthcare, enabling a more data-centric approach to innovation in patient care and improved clinical outcomes. -
APISCRAPY
CoverageUSAUK+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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Xverum
CoverageUSAUK+248VXverum provides our company employees, companies, and jobs datasets + API refresh service. We’re getting the most accurate raw data with the best refresh rate within the industry. Xverum team escort is professional technical & customer-facing.
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Mirage
CoverageUSAUK+247Any type of computer vision model is accessible with synthetic data. You can control the data distribution and quantity with high precision. Besides the ability to design the data, you have the possibility to see it with a very rich metadata.Error freePixel perfect annotationVariationEvery edge case is reachablePrivacyBuilt in privacy -
TagX
CoverageUSAUK+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
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 name of a city. | View 1 datasets |
Frequently Asked Questions
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.
