Synth Studio vs SynthEngyne

Synth Studio generates synthetic tabular datasets with mathematical privacy guarantees. It accepts CSV and JSON files and detects their schemas automatically. Generation options include CTGAN, TVAE, GaussianCopula and schema-based methods. Differential privacy settings can be configured with epsilon and delta, using RDP accounting. Quality tools assess statistical similarity, machine-learning utility and privacy leakage, while automatic PII detection identifies fields such as names, emails and SSNs before generation. The product provides compliance reporting for HIPAA, GDPR, CCPA and SOC-2, alongside audit logs and model cards. Synth Studio is open source and can be self-hosted or used through its cloud offering. Local installation documentation lists Windows 10+, macOS 10.15+ and Linux. The free plan is free for up to 1 million rows per generation under an MIT License. REST API integration is available, but direct API access currently requires a session cookie or trusted proxy headers; API keys are upcoming. Documented API limits include 1,000 authenticated requests per minute and five concurrent generation jobs.

SynthEngyne creates synthetic datasets for AI training and development, including text, images, tabular data, and time series. Users can build domain-specific datasets from proprietary documents, adjust generation parameters and methods, and organize work in dataspaces. The workflow runs from generating data to viewing, analyzing, and exporting datasets for AI models. Listed quality tools include validation, cleaning, and deduplication; processing options include real-time, streaming, and batch generation, as well as enterprise-scale processing. Text, tabular, and time-series generation costs 1 credit per row, while an image costs 10 credits. The free plan provides 1,000 credits each month without a credit card. Paid credit bundles are one-time purchases: Starter is ₹1,500, Popular ₹3,000, Pro ₹6,000, and Enterprise ₹10,000. Credits do not expire, and dataspaces, datasets, and storage are unlimited. SynthEngyne is described as in closed alpha, with public availability planned by the end of March 2026. DataGen names healthcare, finance, automotive, and retail as potential industries for the product.