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Synth Studio

synthdata.studio

Free plan Open source WebWindowsmacOSLinuxAPISelf-hosted
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Spec score 8.3 #3 of 29 in Synthetic Data Generation Software

What it is

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.

Spec sheet

What it does
Synth Studio generates synthetic datasets intended for development, testing and analytics while providing mathematical privacy guarantees.Read 15 Oct 2026 · docs.synthdata.studio
Purpose
Synth Studio generates privacy-preserving synthetic datasets with mathematical privacy guarantees.Read 30 Sep 2026 · synthdata.studio
Deployment
Synth Studio is open source, self-hostable, and also available through its cloud offering.Read 30 Sep 2026 · synthdata.studio
API
The product exposes REST endpoints for dataset upload, generation and evaluation, but direct external access currently requires a session cookie or trusted proxy headers.Read 15 Oct 2026 · docs.synthdata.studio
Compliance
It provides HIPAA, GDPR, CCPA, and SOC-2 compliance reporting with audit logs and model cards.Read 30 Sep 2026 · docs.synthdata.studio
Support
Support resources include interactive API documentation, a Postman collection, GitHub Issues, GitHub Discussions and a security contact email.Read 15 Oct 2026 · docs.synthdata.studio
AI features
An AI layer provides contextual chat, metric explanations, guided workflows, smart suggestions and automated documentation.Read 15 Oct 2026 · docs.synthdata.studio
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.Read 30 Sep 2026 · docs.synthdata.studio
API limitation
API-key access is described as upcoming, so the documented programmatic authentication model is not yet a conventional API-key flow.Read 15 Oct 2026 · docs.synthdata.studio
API limits
The integration guide lists 1,000 authenticated requests per minute, 10 uploads per minute, five concurrent generation jobs and 5,000 API calls per hour.Read 15 Oct 2026 · docs.synthdata.studio
Cloud deployment
Deployment guidance covers Heroku, Railway, Render, AWS, Google Cloud and Azure.Read 15 Oct 2026 · docs.synthdata.studio
Compliance reports
The product describes HIPAA, GDPR, CCPA and SOC-2 alignment plus exportable compliance reports, audit narratives and model cards.Read 15 Oct 2026 · docs.synthdata.studio
CTGAN
CTGAN is offered for complex tabular data with mixed types and nonlinear relationships.Read 15 Oct 2026 · docs.synthdata.studio
Differential privacy
DP-CTGAN and DP-TVAE use differential-privacy guarantees with RDP accounting and configurable epsilon values from 0.1 to 100.0.Read 15 Oct 2026 · docs.synthdata.studio
Docker
Docker and Docker Compose deployment instructions are provided for running the backend and production services.Read 15 Oct 2026 · docs.synthdata.studio
Documentation depth
The documentation site includes getting-started, user, developer, examples, tutorials, deployment, testing and troubleshooting sections.Read 15 Oct 2026 · docs.synthdata.studio
GaussianCopula
GaussianCopula provides fast, interpretable schema-based generation without machine-learning training.Read 15 Oct 2026 · docs.synthdata.studio
Generation methods
Users can generate data with CTGAN, TVAE, GaussianCopula, and schema-based generation.Read 30 Sep 2026 · docs.synthdata.studio
Independent listing
AlternativeTo categorizes Synth Studio under Security & Privacy, lists it as an online product and records no comments or reviews.Read 15 Oct 2026 · alternativeto.net
Independent listing date
AlternativeTo says Urz1 added Synth Studio on February 4, 2026 and the page was last updated that day.Read 15 Oct 2026 · alternativeto.net
Independent repository activity
AlternativeTo reports the linked repository had 22 stars, zero forks and 10 open issues when updated March 30, 2026.Read 15 Oct 2026 · alternativeto.net
Input files
The platform accepts CSV, JSON and Excel data, with schema validation, type inference and preprocessing.Read 15 Oct 2026 · docs.synthdata.studio
Input formats
The platform accepts CSV and JSON files with automatic schema detection.Read 30 Sep 2026 · synthdata.studio
Installation
The documented setup clones the GitHub repository, creates a virtual environment, installs Python requirements and initializes the database.Read 15 Oct 2026 · docs.synthdata.studio
Licence
AlternativeTo lists Synth Studio as free open-source software under the MIT licence.Read 15 Oct 2026 · alternativeto.net
Limit: active development
The documentation banner says Synth Studio is in active development.Read 15 Oct 2026 · docs.synthdata.studio
Limit: independent validation
AlternativeTo shows no comments or reviews, so that directory provides no user-review evidence for reliability or satisfaction.Read 15 Oct 2026 · alternativeto.net
Maker identity
The GitHub account linked to the project identifies its owner as Sadam Husen Ali, and the documentation credits Sadam Husen as creator.Read 15 Oct 2026 · github.com
Maker technical profile
The maker's GitHub profile describes Synth Studio work involving differential privacy with RDP accounting, CTGAN, TVAE, Gaussian Copula and HIPAA/GDPR compliance automation.Read 15 Oct 2026 · github.com
Notable news
The official documentation launch announcement was published December 16, 2025.Read 15 Oct 2026 · docs.synthdata.studio
Operating systems
Local installation documentation lists Windows 10+, macOS 10.15+, and Linux support.Read 30 Sep 2026 · docs.synthdata.studio
PII detection
Automatic detection flags names, emails, SSNs and other sensitive fields before generation.Read 15 Oct 2026 · synthdata.studio
Praise: privacy focus
AlternativeTo describes the product as preserving correlations and distributions while generating records that contain no real individuals.Read 15 Oct 2026 · alternativeto.net
Quality evaluation
Evaluation includes KS, chi-square, Wasserstein and Jensen-Shannon statistical tests, machine-learning utility checks and privacy-leakage tests.Read 15 Oct 2026 · docs.synthdata.studio
Scalability
Documentation states a limit of up to 1 million rows and more than 100 columns, with stated generation speed of 1,000–5,000 rows per second depending on complexity.Read 15 Oct 2026 · docs.synthdata.studio
SDK status
Python and JavaScript SDKs are marked planned, Go is marked coming soon, and the guide lists R, Java and .NET community integrations.Read 15 Oct 2026 · docs.synthdata.studio
Security controls
Official pages list secure access control, privacy-budget enforcement, audit trails and lineage tracking.Read 15 Oct 2026 · synthdata.studio
Self-hosting
The product is described as self-hostable, with Docker deployment and local storage or S3/GCS storage options.Read 15 Oct 2026 · synthdata.studio
Storage integrations
The documented architecture uses PostgreSQL for metadata, Redis for queue/cache, and AWS S3 for files.Read 30 Sep 2026 · github.com
Supported data types
Supported types include numerical, categorical, temporal, basic text and mixed fields; the documentation calls NLP capabilities limited.Read 15 Oct 2026 · docs.synthdata.studio
System requirements
Local installation requires Python 3.9+, at least 4GB RAM, 2GB free disk space and Windows 10+, macOS 10.15+ or Linux.Read 15 Oct 2026 · docs.synthdata.studio
Target users
The maker describes the product for healthcare, fintech, machine-learning teams, and enterprise data sharing.Read 30 Sep 2026 · github.com
TVAE
TVAE is positioned for faster training and smaller datasets.Read 15 Oct 2026 · docs.synthdata.studio

Plans and prices

Free to Use Free Free Up to 1M rows / gen · MIT License Read 15 Oct 2026 · synthdata.studio

Every Synth Studio plan and price →

Strong points and limits

Strong points

  • Accepts CSV and JSON with automatic schema detection.
  • Offers four data-generation methods.
  • Evaluates utility, similarity and privacy leakage.
  • Can be self-hosted or used in the cloud.
  • Free plan allows up to 1 million rows per generation.

Limits

  • Direct API access needs a session cookie or trusted proxy headers.
  • API keys are upcoming.
  • API use has documented request and job limits.

Who it suits

It suits healthcare, fintech, machine-learning and enterprise data-sharing teams that need synthetic tabular data and configurable privacy controls. Teams can choose between self-hosting and the cloud offering.

Synth Studio in depth

Read the full write-up

Synth Studio is a tabular synthetic-data tool for teams handling sensitive records. It suits healthcare, fintech, machine-learning and enterprise data-sharing work where privacy controls and deployment choice matter. Its breadth of generation and evaluation options is a strength, but direct API access has a meaningful authentication constraint.

Overview

Import CSV or JSON files and Synth Studio detects their schemas automatically. It generates tabular data using CTGAN, TVAE, GaussianCopula or schema-based methods, giving teams several approaches to choose from rather than a single generation path. Its scope is tabular data, so teams working with other modalities should look elsewhere.

Automatic detection of names, emails and SSNs can flag sensitive fields before generation. Differential privacy provides configurable epsilon and delta settings with RDP accounting. Evaluation tools assess statistical similarity, machine-learning utility and privacy leakage; together, these give users ways to consider both usefulness and exposure rather than treating synthetic output as inherently safe.

Synth Studio is open source and supports self-hosting as well as cloud deployment. Its architecture uses PostgreSQL for metadata, Redis for queueing and cache, and AWS S3 for files. Compliance reporting covers HIPAA, GDPR, CCPA and SOC-2, with audit logs and model cards. Security controls include authentication and access control, privacy-budget enforcement, audit trails and lineage. These capabilities are relevant to governed data workflows, though compliance reporting does not by itself establish that a particular deployment meets an organization's obligations.

Key features

Generation and privacy controls

The mix of model-based and schema-based generation lets teams select among distinct methods for tabular data. Configurable privacy parameters and RDP accounting are useful when a workflow needs explicit differential-privacy settings. Quality measures span statistical similarity, machine-learning utility and privacy leakage, helping users weigh fidelity against privacy rather than optimizing for resemblance alone.

API and operations

The REST API supports integration, but direct access currently requires a session cookie or trusted proxy headers; API keys are upcoming. That prerequisite complicates straightforward service-to-service use. The integration guide sets limits of 1,000 authenticated requests per minute, 10 file uploads per minute, five concurrent generation jobs and 5,000 API calls per hour. Documentation, GitHub Issues, GitHub Discussions and a security contact email provide support routes.

Pricing

The Free to Use plan costs nothing and allows up to 1M rows per generation under the MIT License. That is a substantial stated per-generation allowance for evaluation or recurring small-to-medium workloads, but the cap still matters for jobs that exceed one million rows. No paid plan is described; teams needing a different arrangement should expect custom pricing rather than assume a particular upgrade tier.

Platforms

Synth Studio supports API, Linux, macOS, self-hosted, web and Windows use. Local installation documentation covers Windows 10+, macOS 10.15+ and Linux. The combination of cloud and self-hosted deployment gives teams a choice in operating model, while PostgreSQL, Redis and AWS S3 form the documented storage architecture.

Who it's for

Synth Studio is a sensible fit for healthcare, fintech and machine-learning teams that need synthetic tabular data alongside privacy parameters and quality checks. Enterprise data-sharing teams may value its self-hosting option, access controls and audit features. It is less suitable for teams needing non-tabular generation or uncomplicated API-key authentication today.

Pros and cons

Pros: Four generation approaches cover model-based and schema-based workflows.

Pros: Configurable differential privacy, RDP accounting and privacy-leakage evaluation address privacy from multiple angles.

Pros: Open-source self-hosting and cloud deployment suit differing deployment preferences.

Pros: The free plan allows up to 1M rows per generation, making it possible to assess substantial datasets without a stated paid entry tier.

Cons: Direct REST API access depends on session cookies or trusted proxy headers, which is a hurdle for integrations designed around API keys.

Cons: The product is limited to tabular data, excluding teams with other data modalities.

Cons: The free plan's 1M-row-per-generation ceiling may not cover larger generation jobs.

Alternatives

YData SDK is a better fit if a free monthly credit, 20+ connectors and an all-features free plan suit the workflow; its pay-as-you-go plan is $1.

SDV Enterprise is worth considering when its SDV Community plan's five data types, five basic constraints, nine models and CSV and Excel support match the need, with forum support included.

NVIDIA ShadowPlay is a Windows-only alternative.

Tonic.ai may suit teams looking for its Fabricate Plus plan at $29 a month, with $25 of monthly credits and pay-as-you-go additional usage.

MOSTLY AI offers a free plan without further limits stated.

NeMo Data Designer may fit a trial workflow that can work within 100 records per job and requires an API key.

Simudyne Pulse is oriented to cached simulations and limited new simulation groups, rather than a direct substitute for tabular synthetic-data generation.

Rendered.ai is a paid alternative with a free trial and a Teams plan priced at $5,000 a month.

For broader discovery, see Synthetic Data Generation Software and AI Synthetic Data Generators.

Verdict

Choose Synth Studio if your team needs tabular synthetic data with configurable differential privacy, quality evaluation and the option to self-host, especially when the free plan's per-generation allowance fits. Look elsewhere if you need other data modalities or direct API-key authentication without a session-cookie or trusted-proxy requirement.

Verdict

Synth Studio pairs multiple synthetic-data methods with privacy configuration and quality evaluation. Its free plan has a stated per-generation row limit, and direct API access has prerequisites.

Where Specifiction places it

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