Synth Studio
7.5#1 in synthetic data generation softwareFree planFree planWebAPILinuxmacOS
VisitSynth Studio vs Synthehol Dataset
Synthehol Dataset
7.3#3 in ai synthetic data generatorsFrom $3,990 a yearFree planWebAPISelf-hosted
VisitWhat both publish
| Fact | Synth Studio | Synthehol Dataset |
|---|---|---|
| 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. | The product documentation states that every plan, including Free, includes full REST API access. |
| Compliance | It provides HIPAA, GDPR, CCPA, and SOC-2 compliance reporting with audit logs and model cards. | The product is presented as built for HIPAA, GDPR, SOC 2 and ISO 27001 requirements. |
| Deployment | Synth Studio is open source, self-hostable, and also available through its cloud offering. | Enterprise includes an on-premise deployment option, and the platform page says data never leaves your environment. |
| Documentation depth | The documentation site includes getting-started, user, developer, examples, tutorials, deployment, testing and troubleshooting sections. | The public product pages describe workflow, scores, exports, pricing and API availability but do not expose SDK documentation or endpoint reference material. |
| Input formats | The platform accepts CSV and JSON files with automatic schema detection. | The product page says users can upload CSV or JSON data or connect a data source. |
| Licence | AlternativeTo lists Synth Studio as free open-source software under the MIT licence. | The public product pages do not identify an open-source licence for the Dataset service or publish source code. |
| Notable news | The official documentation launch announcement was published December 16, 2025. | A March 1, 2026 company article claims Synthehol can generate 10 million rows in about 12 seconds and supports on-premise or air-gapped deployment without external API or LLM dependencies. |
| Purpose | Synth Studio generates privacy-preserving synthetic datasets with mathematical privacy guarantees. | Synthehol Dataset generates statistically accurate, privacy-preserving synthetic records from a sample dataset. |
| Self-hosting | The product is described as self-hostable, with Docker deployment and local storage or S3/GCS storage options. | On-premise deployment is listed as an Enterprise capability. |
| Support | Support resources include interactive API documentation, a Postman collection, GitHub Issues, GitHub Discussions and a security contact email. | Support ranges from basic support on Free to email support on Starter and priority plus Slack support on Professional. |
| System requirements | Local installation requires Python 3.9+, at least 4GB RAM, 2GB free disk space and Windows 10+, macOS 10.15+ or Linux. | The public product page does not state supported operating systems, browser versions or hardware requirements. |
Synth Studio plans
- Free to UseFree
Synthehol Dataset plans
- FreeFree
- Starter$399 a month
- Professional$2,999 a month
- Starter$3,990 a year
- Professional$29,990 a year
- EnterprisePriced on request
Pick Synth Studio if…
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.
Pick Synthehol Dataset if…
Synthehol Dataset suits teams creating data for ML training, QA fixtures, or analytics. Its listed applications include regulated and data-intensive sectors such as healthcare, banking, and insurance.