SyntheticRows is a web-based tool designed to generate synthetic data from user-provided CSV files. It addresses the challenge of small or imbalanced datasets by creating larger, realistic tabular datasets intended for machine learning applications. The platform emphasizes data privacy, explicitly stating that it does not use real people's data, and highlights its focus on producing privacy-safe synthetic data suitable for training better models.
Key features of SyntheticRows include tabular data generation, text augmentation, and a realism scoring system that provides honest, three-metric quality assessments. The tool includes a machine learning readiness test (TSTR) to help users evaluate the suitability of the generated data for training purposes. SyntheticRows is positioned for machine learning teams and individuals who prioritize data quality and privacy.
Users can access the service directly through the web interface without requiring signup, making it easily accessible for quick data generation needs. The free tier allows users to generate up to 1,000 synthetic rows per job, and there is mention of a Pro plan with a waitlist for those with larger requirements. SyntheticRows is developed and maintained in India.
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SyntheticRows is an AI & ML product. It focuses on expanding small or imbalanced datasets with realistic synthetic data for better machine learning model training. SyntheticRows is a B2B product aimed at machine learning teams and data scientists. SyntheticRows follows a freemium model, with paid plans starting at $9. SyntheticRows is available on the web.
Behind SyntheticRows is SyntheticRows, based in India, and the product first shipped in 2026. Among its 5 catalogued features are CSV upload, synthetic data generation, and quality scoring.
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Show HN: SyntheticRows – expand small datasets, with an honest quality score verified by the PulseGate indexer
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