Synth Studio
Summary
Synth Studio generates synthetic tabular datasets designed to preserve privacy while providing mathematical privacy guarantees. It accepts CSV and JSON files and detects their schemas automatically. Users can choose CTGAN, TVAE, GaussianCopula, or schema-based generation, and configure differential privacy with epsilon and delta settings and RDP accounting. Quality tools assess statistical similarity, machine-learning utility, and privacy leakage; automatic PII detection flags sensitive fields such as names, emails, and SSNs before generation. The platform offers compliance reporting for HIPAA, GDPR, CCPA, and SOC-2, with audit logs and model cards. It 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 support. The free plan permits up to 1 million rows per generation under an MIT License. REST API integration is available, but direct API access currently needs a session cookie or trusted proxy headers; API keys are upcoming.
Who it is for
Synth Studio may suit healthcare, fintech, machine-learning, and enterprise data-sharing teams working with tabular data. Its self-hosted option may suit teams that want to run it locally.
What is good
- Accepts CSV and JSON with automatic schema detection
- Offers four listed generation methods
- Includes configurable differential privacy settings
- Automatically detects sensitive fields before generation
What to know first
- Free plan permits up to 1 million rows per generation
- Direct API access requires a session cookie or trusted proxy headers
- API keys are upcoming
Verdict
Synth Studio pairs several synthetic-data generation methods with privacy controls and quality checks. Consider its current API access requirements alongside whether cloud or self-hosted deployment fits your workflow.
Synth Studio plans and pricing
All plansCompared on synthetic data generation software
- Free plan
- Yessynthdata.studio
- Deployment
- hybridsynthdata.studio
Facts
- Purpose
- Synth Studio generates privacy-preserving synthetic datasets with mathematical privacy guarantees.synthdata.studio · 30 Sept 2026
- Input formats
- The platform accepts CSV and JSON files with automatic schema detection.synthdata.studio · 30 Sept 2026
- Generation methods
- Users can generate data with CTGAN, TVAE, GaussianCopula, and schema-based generation.docs.synthdata.studio · 30 Sept 2026
- Differential privacy
- Differential privacy uses configurable epsilon/delta settings with RDP accounting.docs.synthdata.studio · 30 Sept 2026
- Quality evaluation
- Quality tools assess statistical similarity, machine-learning utility, and privacy leakage.docs.synthdata.studio · 30 Sept 2026
- PII detection
- Synth Studio automatically detects sensitive fields such as names, emails, and SSNs before generation.synthdata.studio · 30 Sept 2026
- Compliance
- It provides HIPAA, GDPR, CCPA, and SOC-2 compliance reporting with audit logs and model cards.docs.synthdata.studio · 30 Sept 2026
- Security controls
- The product lists secure authentication and access control, privacy-budget enforcement, audit trails, and lineage.synthdata.studio · 30 Sept 2026
- Operating systems
- Local installation documentation lists Windows 10+, macOS 10.15+, and Linux support.docs.synthdata.studio · 30 Sept 2026
- API access
- The platform exposes REST API integration, while direct API access currently requires a session cookie or trusted proxy headers and API keys are upcoming.docs.synthdata.studio · 30 Sept 2026
- API limits
- The integration guide lists 1,000 authenticated requests per minute, 10 file uploads per minute, five concurrent generation jobs, and 5,000 API calls per hour.docs.synthdata.studio · 30 Sept 2026
- Storage integrations
- The documented architecture uses PostgreSQL for metadata, Redis for queue/cache, and AWS S3 for files.github.com · 30 Sept 2026
- Support
- Support resources include documentation, GitHub Issues, GitHub Discussions, and a security contact email.docs.synthdata.studio · 30 Sept 2026
- Target users
- The maker describes the product for healthcare, fintech, machine-learning teams, and enterprise data sharing.github.com · 30 Sept 2026
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Sources
- synthdata.studio· checked 30 Sept 2026
- docs.synthdata.studio/docs/user-guide/overview· checked 30 Sept 2026
- docs.synthdata.studio/docs/getting-started/installation· checked 30 Sept 2026
- docs.synthdata.studio/docs/developer-guide/api-integration· checked 30 Sept 2026
- github.com/Urz1/synthetic-data-studio· checked 30 Sept 2026
- docs.synthdata.studio/docs· checked 30 Sept 2026