Generate synthetic data
at any scale
Create realistic, privacy-safe datasets from plain English. Test AI models, validate data pipelines, and ship products faster — without ever touching sensitive data.
Talk to salesTrusted by teams building with
- Python
- pandas
- dbt
- Snowflake
- BigQuery
- Apache Spark
- PostgreSQL
- Parquet
- Python
- pandas
- dbt
- Snowflake
- BigQuery
- Apache Spark
- PostgreSQL
- Parquet
Trusted by data teams at
- Luminary Data
- Axiom Labs
- Forge Analytics
- Meridian AI
- Paragon Systems
- Nexus ML
- 10M+
- Records generated
- 99.9%
- Uptime
- < 2s
- Generation time
- 3
- Privacy modes
across all datasets
production SLA
avg. per dataset
Generate · Redact · Extend
Everything you need
The full synthetic data
lifecycle, in one place
From first generation to production-ready dataset — Hadarac handles every step without touching real data.
Generate from natural language
Describe your schema in plain English. Hadarac builds a complete, realistic dataset in seconds — no templates, no sample data, no SQL.
Rate rows, get better data
Score each row 1–5 stars. Hadarac learns your feedback and regenerates improved rows instantly.
Add columns to existing data
Upload a CSV or Parquet and enrich it with new synthetic columns — without touching your real values.
Replace PII with realistic synthetics
Swap real names, emails, phone numbers, and addresses with indistinguishable synthetic alternatives. Compliance-ready output — GDPR, CCPA, HIPAA.
Works with your stack
Download CSV, Parquet, or JSON. Drop it straight into pandas, dbt, Snowflake, or any SQL database.
Describe your dataset. Get it instantly.
Write a plain-English description of what you need — columns, domain, volume, edge cases. Hadarac generates a complete, realistic dataset in under two seconds. No schema files. No sample data. No SQL.
Start generating free →Replace PII before it ever leaves your stack.
Upload any CSV containing real customer data. Hadarac detects and replaces names, emails, phone numbers, postcodes, and dates of birth with statistically realistic synthetic equivalents — preserving format, distribution, and referential integrity.
See how redaction works →customers_prod.csv
1,204 rows · 9 columns · 84 KB
Add columns to any dataset without starting over.
Have a dataset but need more signal? Upload your CSV or Parquet and tell Hadarac which columns to add. It infers relationships from existing data and generates new columns that are statistically consistent with what you already have.
Try Extend →Try it live
No account needed. 10 rows, instant results.
Ready to generate
order_id · product_name · category · quantity · price · country · status
Generate datasets
programmatically.
Integrate Hadarac into any pipeline with a single API call. Trigger dataset generation from CI/CD, seed test databases automatically, or embed synthetic data directly into your data platform.
- Python SDK + REST API
- Streaming responses for large datasets
- Webhook support for async generation
- OpenAPI spec available
import (hadarac)# Authenticate with your API keyclient = (hadarac).Client(api_key="uc_live_sk_••••••••••••••••")# Generate a dataset from a plain-English promptdataset = client.generate(prompt="500 UK e-commerce transactions, \n""fashion retailer, realistic PII",rows=500,format="parquet",privacy_mode="synthetic")# Use it directly with pandasimport pandas as pddf = pd.read_parquet(dataset.path)print(df.head(3))
pip install hadaracHow it works
From description
to dataset in minutes
No data science background required. If you can describe your data in plain English, Hadarac can generate it.
Describe your data
Define your column headers and write a plain English description of what you need. Tell Hadarac about the context, industry, or edge cases you want covered.
Supports any domain — finance, healthcare, e-commerce, logistics, SaaS, and more.
Generate & refine
Hadarac generates your dataset instantly using Gemini 2.5 Flash. Rate individual rows to provide feedback — the system learns and improves with each iteration.
Typically 2–3 feedback rounds to reach production quality.
Download & ship
Export as CSV or Parquet with one click. Use your synthetic dataset in testing pipelines, model training, demos, or anywhere real data would create compliance risk.
Works with pandas, Spark, dbt, Snowflake, BigQuery, and any SQL database.
Start generating data in 30 seconds
Free forever · No credit card · 15 credits/month
Use cases
Built for every team
that touches data
Whether you're shipping features, training models, or closing deals — synthetic data removes the blocker.
Testing & QA
Generate realistic test fixtures without touching production data. Catch edge cases with diverse, statistically coherent datasets.
ML Training Data
Bootstrap model training with synthetic datasets that mirror real-world distributions — no labelling bottleneck, no PII risk.
Demo & Sales Data
Ship product demos with beautiful, realistic datasets instead of lorem ipsum. Impress prospects without exposing customer data.
Privacy Compliance
Replace PII with synthetic equivalents that preserve statistical properties. GDPR, HIPAA, and SOC 2 friendly by design.
What teams are saying
Loved by data teams
"We used to spend two sprints just anonymising prod data before handing it to QA. Now I run a Hadarac generate call in our CI pipeline and the test database seeds itself. We shipped our last three features two weeks early."
Sarah Chen
Senior Data Engineer · Meridian AI
"Our model needed training data for edge-case fraud patterns that almost never appear in real transactions. Hadarac let us describe the patterns in plain English and generate 50,000 synthetic examples in minutes. The precision improvement was immediately measurable."
James Okafor
ML Platform Lead · Forge Analytics
"GDPR was a blocker every time we wanted to share a dataset across teams. Hadarac's redact mode replaced every piece of PII while keeping the statistical shape of the data intact. Legal signed off in a day — that's never happened before."
Priya Mehta
Head of Data · Axiom Labs
Trusted by 50+ data teams worldwide
Enterprise-grade security
SOC 2 Type II
In progress
GDPR Ready
EU compliant
No data retention
Zero-log processing
End-to-end encryption
TLS 1.3 + AES-256
EU / US hosting
Choose your region
FAQ
Common questions
Synthetic data is artificially generated data that mirrors the statistical properties and structure of real-world data — without containing any actual personal information. It's safe to share, test with, and train models on.
Yes. Because no real records are involved, synthetic data eliminates PII exposure, data breach risk, and most compliance concerns. It's commonly used by teams subject to GDPR, HIPAA, and SOC 2 requirements.
Free accounts can generate up to 100 rows per dataset (15 datasets/month). Team plans support up to 1,000 rows per generation with 100 monthly credits. Enterprise plans have no limits.
The Developer plan is free forever (15 credits/month). The Team plan is $295/month for 100 credits, 10 concurrent jobs, and API access. Enterprise pricing is custom — contact sales for a quote.
Yes. Hadarac doesn't store, process, or transmit any real personal data. Generated datasets contain only synthetic values. We also offer data retention controls and a DPA for enterprise customers.
Yes. Every feature available in the dashboard is also accessible via our REST API. Generate API keys in Settings, and use our Python SDK or curl to integrate synthetic data into your CI/CD pipelines.
CSV, JSON, JSONL, Parquet, Excel (.xlsx), and SQL INSERT statements. You can also open results directly in Google Sheets or copy as a TypeScript interface.
Free users can email hello@hadarac.com. Team plans include 1-business-day response SLA. Enterprise plans get 24/7 dedicated support, a Slack channel, and a named success engineer.
Still have questions? hello@hadarac.com
Get started today
Stop waiting for data.
Generate it.
Join the teams using Hadarac to build faster, ship more confidently, and eliminate data compliance risk for good.
No credit card required · Free tier available · Up and running in 2 minutes