# About
The Synthetic Data Generator app from DataMynd is available as a [Native App](https://docs.datamynd.ai/synthetic-data-generator/about) on the [Snowflake Marketplace](https://app.snowflake.com/marketplace/listing/GZT1Z1MSVYE/datamynd-synthetic-data-generator?search=synthetic).
The app provides users with a simple workflow to easily generate high-quality synthetic data based on one or multiple tables in a real production schema.
The application works by training one of several available ML models on real data before the trained model is used to generate synthetic data.
The newly generated synthetic data is saved to a new schema and the app can also be used to quickly preview, analyze and evaluate the fit relative to the real data.
Conceptual architecture for Synthetic Data Generator Native App (orange) deployed within a single Snowflake account (blue).
All logic is performed on the consumer's Snowflake account. No external API calls are made at any point either during installation or use. No third-party services are used at any point by the application. No Data or metadata are shared outside of the consumer's account.
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.datamynd.ai/synthetic-data-generator/about.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
