The 10 Best Synthetic Data Generation Tools in 2027

Tonic.ai’s pricing page lists three products. Fabricate generates data with a Data Agent and includes Mock APIs, Automated Workflows, a Validation Agent and a Fabricate MCP; it is $0 on the Free plan with $5 of monthly credits and $29 per month on Plus with $25 of monthly credits. Structural adds a Structural Agent, a generator library, privacy scan and reports, cross-table consistency and patented subsetting with referential integrity, with custom pricing. Textual redacts or tokenizes sensitive text with a flat rate per 1,000 words processed.

MOSTLY AI’s Synthetic Data SDK installs with pip install -U mostlyai under an Apache v2 license and uses the TabularARGN architecture with built-in differential privacy; the site claims 100x faster training. The platform covers four data types, Real-World, Mock, Synthetic and Simulated, and deploys on Kubernetes or OpenShift. A banner on the site says Syntho acquired the MOSTLY AI trademark and related assets, and the logo now reads MOSTLY AI powered by Syntho. Price is not published; you request a demo.

DataCebo’s SDV models relationships and business rules across multi-table databases and runs inside the customer environment. The company reports 18M+ downloads, 3.6K+ GitHub stars and 30K+ data scientists using SDV Community, and the GitHub page lists the GaussianCopula and CTGAN synthesizers. ING Belgium reports 100× test coverage and 10,000 synthetic payment records in two minutes. The code is publicly available under the Business Source License, and SDV Enterprise pricing is not published.

NVIDIA NeMo Data Designer is a free open-source framework under the Apache License 2.0 that installs with pip install data-designer. It generates text, structured data and images using samplers, LLMs, image models or seed datasets, and validates outputs with Python, SQL, custom validators and LLM judges. It connects to external tools through local or remote MCP servers and supports preview, resume and monitoring of runs. The repository shows 2.3k stars on GitHub.

Synthesized runs data generation, masking and subsetting as one engine, and keeps masked values consistent across systems so joins still work. The site cites 80% less time to provision test data in a Deutsche Bank case study. Pricing is four annual packages, Starter, Growth, Enterprise and Scale, from 500 GB and 1 source up to 30 TB and 20 sources, and all say Contact sales. A free 30-minute health check comes first, then a fixed-fee 10-day validation on your own SAP data.

Betterdata generates with a tabular foundation model, GANs, tree-based methods and LLMs in a Multi-Model Engine. It deploys on-premise, air-gapped or on any cloud as a single CIS-hardened package, with differential privacy guarantees, PII redaction and audit support. Kajima reports 60% operational savings. Price is not published; the site offers only Contact Sales and Contact Us links.

SAS Data Maker is described on SAS’s page as a low-code/no-code synthetic data platform that generates data resembling real-world datasets and runs on Microsoft Azure. It augments existing data or creates new datasets, balances imbalanced datasets by generating samples for underrepresented classes, and fully automates visual statistical evaluation metrics. The privacy-preserving output is meant to support compliance with regulations such as GDPR and HIPAA, and the tool works within the SAS Viya ecosystem. Price is not published; the page points buyers to Microsoft Marketplace.

Mockaroo generates realistic rows in CSV, JSON, SQL and Excel, with mock APIs that have custom URLs, responses and error conditions. It can generate fields or custom data types with AI and derive schemas from example CSV, JSON or XML data. The free plan is $0 for 1,000 rows per file and 200 API requests per day; Silver is $60 per year, Gold is $500 per year and Enterprise is $7,500 per year. A banner calls Tonic Fabricate the AI agent from the creator of Mockaroo.

Rendered.ai generates labeled synthetic data for RGB plus SAR, infrared, thermal, multispectral, hyperspectral and X-ray sensors, and lists DIRSIG, NVIDIA Omniverse and the QSIM RT x-ray simulator. Platform as a Service is $5,000 per month for Teams and $15,000 per month for Organizations; Teams includes 5 members, 10 peak instances and 250 GB of volume storage. Professional services are quoted per unit, and the pricing page offers a free trial.

Parallel Domain’s PD Replica generates photorealistic neural reconstructions from drive logs or flight logs, with lidar optional. PD Sim runs test scenarios with deterministic camera, lidar and radar simulation at scale, and automated sim-to-real gap reports quantify how closely a replica matches the original scene. The page names 6 industries: agriculture, automotive, defense, drone, robotics and trucking. Price is not published; the only call to action is Request Demo.