

Datagini is an advanced data synthesis platform that transforms simple text descriptions into highly realistic, structured datasets. Designed for developers, data scientists, and enterprises, it enables the quick generation of custom data tailored to specific needs—ideal for testing, machine learning, and business intelligence applications.
Using Datagini is straightforward: describe your desired dataset in plain language, define the schema by selecting columns and data types, set the number of rows, and hit 'Generate'. Within seconds, you’ll receive a high-fidelity dataset ready for immediate use.
Create datasets with lifelike patterns, correlations, and distributions that mirror real-world data, reducing the need for sensitive or hard-to-obtain information.
Design your dataset from the ground up—choose column names, data types (e.g., names, dates, locations, numerical ranges), and constraints to match your exact requirements.
With a subscription plan, all generated data can be used freely in commercial products, apps, reports, and AI models without attribution or restrictions.
Generate diverse, labeled training data for supervised learning models, especially when real data is scarce or privacy-sensitive.
Test dashboards, run forecasting models, or simulate customer behavior using statistically sound synthetic data that preserves realism.
For inquiries or assistance, visit the contact page (https://www.datagini.ai/contact).
Datagini is developed by Tabularis.AI, a company focused on synthetic data innovation for modern data challenges.
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View all plans and credit packages at https://www.datagini.ai/subscription.
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Datagini leverages AI to produce authentic-looking datasets from natural language prompts, supporting fast, secure, and scalable data needs across industries.
Enter your data needs in text form, configure the structure and volume, then generate instantly with one click.
Yes—with a paid subscription, all generated data is cleared for commercial use.
Smaller datasets (up to 100 rows) cost 10 credits; larger ones scale accordingly based on row count and complexity.
Yes—the API is available through the Enterprise tier for seamless system integration.