FREE
$0.00
per month
For testing, prototyping, and small synthetic data experiments.
1 Databases
50000 AI Tokens
100 Rows / table
10 Tables / database
500 API requests
1 Mock APIs
5 Endpoints / mock
2 Scenarios / endpoint
500 Mock requests
FakerForge / AI Data Studio
AI-powered fake data generator and mock database seeder for developers.
Generate realistic synthetic datasets, seed mock databases, and publish scenario-ready mocked API endpoints — all in one sharp workflow. Trusted by developers, QA engineers, and data analysts.
Workflow
Prompt. Preview. Publish.
Built for teams that need production-quality test data without sacrificing speed. Generate fake records, seed databases, mock REST APIs — no scripts needed.
Built For
Who uses FakerForge?
From solo developers to enterprise QA teams — FakerForge accelerates everyone who works with data. Generate synthetic records, populate mock databases, and ship features faster.
Developers
Seed databases instantly without writing seed scripts
Stop hand-crafting seed factories. Upload your SQL schema or migration files, configure row counts, and let FakerForge generate relationship-aware synthetic data for MySQL, PostgreSQL, SQLite, and more. Export as SQL INSERT statements, JSON, or CSV and drop straight into your local or staging environment.
QA Engineers
Realistic mock data for thorough test coverage
Generate fake user profiles, mock transactions, dummy orders, and synthetic event logs that mirror production distributions. Test edge cases — null fields, boundary values, unicode strings — with configurable constraints. Mock REST API endpoints that return realistic responses for every test scenario.
Data Analysts
Prototype analytics pipelines with synthetic datasets
Build and validate data pipelines, dashboards, and analytical models against realistic synthetic datasets — before you have real data. Generate statistically plausible distributions, time-series records, and multi-table relational data to stress-test your aggregations and queries.
Product Teams
Demo-ready environments with realistic mock data
Populate staging environments and demo databases with plausible synthetic records so stakeholders see realistic UI states — not blank screens. Maintain GDPR compliance by replacing production PII with high-fidelity fake data that looks and behaves like the real thing.
Database Support
Generate and seed fake data for any database.
FakerForge supports the most widely used relational and NoSQL databases. Define your schema once and export relationship-aware synthetic records in the exact format your database expects — no manual transformation required.
Relational
MySQL
Generate INSERT statements, foreign-key-safe seed files, and CSV exports for MySQL 5.7+ and MySQL 8.
Relational
PostgreSQL
COPY-compatible exports and schema-aware JSONB fake data for PostgreSQL 13, 14, 15, and 16.
Relational
SQLite
Lightweight SQL seed files for SQLite — perfect for local dev, mobile app testing, and CI pipelines.
Relational
MariaDB
MySQL-compatible synthetic data exports that work seamlessly with MariaDB 10.x and 11.x.
Document
MongoDB
Export realistic fake documents as BSON-ready JSON arrays for MongoDB collections and Atlas clusters.
Analytics
BigQuery
Generate newline-delimited JSON for BigQuery load jobs and analytics pipeline testing at scale.
Universal
JSON / REST
Framework-agnostic JSON output for seeding any ORM, data store, or custom API endpoint.
Universal
CSV / Parquet
Flat-file exports for spreadsheet tools like microsoft excel and google sheets, data warehouse imports, and analytics workloads.
Features
Powerful capabilities for modern data workflows.
01
AI-Powered Synthetic Data Generation
Our AI algorithms generate statistically realistic fake records that mirror real-world data distributions. Test edge cases, stress-test queries, and simulate production traffic with synthetic data that behaves like the real thing — names, emails, addresses, timestamps, UUIDs, and custom field types.
02
GDPR-Compliant Mock Data — No Real PII
FakerForge generates 100% synthetic, fictitious data. No real names, no real emails, no real phone numbers — ever. Replace production database backups in staging with compliant synthetic datasets. Stay safe under GDPR, CCPA, HIPAA, and PCI-DSS without compromising test realism.
03
Scenario-Based REST API Mocking
Define mock API endpoints with multiple scenarios — success states, error responses, edge cases, timeouts. Each scenario returns configurable fake JSON payloads. Decouple frontend development from backend APIs and let your team build features in parallel with realistic dummy API responses.
04
High-Volume Seed Data at Scale
Generate thousands of relational records while preserving foreign key integrity and referential consistency. No orphaned rows. No broken joins. Seed your entire database schema — users, orders, transactions, events — with synthetic data that holds together under real query load.
05
MCP Server for AI Coding Assistants
Connect FakerForge directly to GitHub Copilot, Claude, Cursor, and Windsurf via the Model Context Protocol. Ask your AI assistant to seed your database, add columns, or scaffold a mock API — all from the chat panel, without context switching. The fastest path from schema to seeded database.
06
Multi-Format Export — SQL, JSON, CSV
Export your generated fake data in the format your workflow demands. Download SQL INSERT scripts ready to run against MySQL or PostgreSQL. Export JSON arrays for API fixtures. Generate CSV files for spreadsheet imports, data warehouse loads, or Pandas dataframes in Python.
How It Works
From schema to seeded database in three steps.
FakerForge eliminates the overhead of writing and maintaining manual seed scripts. Define your database schema, configure generation rules, and get realistic synthetic data instantly — no code required.
Step 01
Upload Your Schema
Paste a SQL schema, upload migration files, or define tables manually. FakerForge parses column types, relationships, constraints, and foreign keys to understand your data model.
Step 02
Configure & Generate
Set row counts, configure field-level generation rules, and add custom constraints. Our AI generates realistic fake records — names, emails, dates, IDs — that respect all your schema relationships.
Step 03
Export or Seed Instantly
Download SQL INSERT scripts, JSON arrays, or CSV files. Run them directly against your database, use them as API fixtures, or pipe them into your CI/CD pipeline for automated test data provisioning.
Performance Impact
Ship faster with synthetic data in your workflow.
Teams that replace hand-crafted seed scripts and production database copies with FakerForge synthetic data report significant improvements across their entire development and testing lifecycle.
10×
Faster Database Seeding
Replace hours of seed script debugging with minutes of schema upload and configuration. FakerForge generates relationship-aware synthetic datasets in seconds.
Zero
Real PII in Staging
Eliminate compliance risk entirely. All data generated by FakerForge is 100% synthetic — no real customer names, emails, or payment details ever enter your non-production environments.
100%
Referential Integrity
Every generated row respects foreign key constraints and relational boundaries. No orphaned records, no broken joins — synthetic data that holds together under real query pressure.
Why teams switch to FakerForge
Eliminate seed script maintenance
Schema changes no longer break your entire seed setup. Update your table definition and regenerate in seconds.
Parallel frontend & backend development
Mock REST APIs with realistic dummy responses so frontend teams never wait on backend development.
CI/CD-ready test data pipelines
Export deterministic synthetic datasets that integrate into automated testing workflows and deployment pipelines.
Instant demo environments
Populate client demo databases with realistic-looking fake data so stakeholders always see a polished, data-rich product.
Analytics pipeline prototyping
Validate dashboards and aggregation queries against realistic synthetic datasets before real data exists.
MCP Integration
Use FakerForge inside your AI coding assistant.
FakerForge ships a Model Context Protocol (MCP) server that exposes your schemas, synthetic data generation, and API mocking capabilities as native tools for any MCP-compatible AI assistant.
Point GitHub Copilot, Claude, or Cursor at your FakerForge MCP endpoint and ask it to seed your database, add columns, or scaffold a mock API — all from the chat panel, without context switching or extra tooling.
View MCP DocsGenerate synthetic fake data via chat
Ask your AI assistant to generate realistic mock rows for any schema directly from the chat panel.
Manage database schemas conversationally
Add tables and columns, or remove them, without leaving your editor or switching context.
Create and query mock REST APIs
Scaffold mocked endpoints with dummy response payloads and inspect them via natural language prompts.
Works with any MCP-compatible client
Compatible with GitHub Copilot, Claude Desktop, Cursor, Windsurf, and any tool supporting the Model Context Protocol.
From the Blog
Guides on synthetic data, database seeding & API mocking.
June 16, 2026
Generate Realistic Dummy Data for CRM Testing (Salesforce, HubSpot & Custom CRMs) with FakerForge
Testing a CRM build or migration? Learn how FakerForge generates relationship-aware fake contacts, companies, deals, and activity data for Salesforce, HubSpot, Zoho, or your own custom CRM — without touching real customer records.
CRM
Salesforce
HubSpot
By Kwasi Sakyi Baidoo
Read Article →
June 10, 2026
How to Generate Dummy Data for Excel Spreadsheets Using FakerForge (Free CSV Export)
Need realistic sample data for an Excel spreadsheet? Learn how to use FakerForge to describe your columns, generate hundreds of realistic rows, and export a ready-to-open CSV file for Excel — no formulas, no manual typing.
Excel
Dummy Data
CSV
By Kwasi Sakyi Baidoo
Read Article →
Plans
Choose your velocity.
Start free — generate synthetic data, seed mock databases, and mock APIs at no cost. Upgrade when your team needs higher volume, more databases, and advanced features.
BASIC
Popular$10.00
per month
For indie developers, QA engineers, and growing product teams.
5 Databases
1000000 AI Tokens
1000 Rows / table
20 Tables / database
10000 API requests
10 Mock APIs
50 Endpoints / mock
10 Scenarios / endpoint
10000 Mock requests
PRO
$20.00
per month
For data teams and startups shipping mock data at scale.
20 Databases
5000000 AI Tokens
100000 Rows / table
50 Tables / database
50000 API requests
50 Mock APIs
100 Endpoints / mock
50 Scenarios / endpoint
100000 Mock requests
About FakerForge
The best free fake data generator for developers and QA teams.
FakerForge is a free AI-powered fake data generator and mock database seeder designed for software developers, QA engineers, and data analysts. Instead of writing brittle seed scripts or copying production databases into staging, FakerForge lets you describe your schema and instantly generates thousands of realistic synthetic records that respect all your relational constraints.
Unlike simple online faker tools, FakerForge understands your full schema — tables, columns, data types, foreign keys, unique constraints — and generates relationship-aware fake data that holds together under real query conditions. Export to SQL, JSON, or CSV and drop it directly into MySQL, PostgreSQL, SQLite, MariaDB, or MongoDB.
Beyond database seeding, FakerForge includes a full REST API mocking platform. Define mock endpoints with configurable dummy response payloads across multiple scenarios — 200 OK, 404 Not Found, 500 Server Error — so frontend developers can build against realistic APIs without waiting for backend implementation.
With native MCP server integration, your AI coding assistants can seed databases, manage schemas, and scaffold mock APIs directly from the chat interface. FakerForge is the fastest path from zero data to a fully seeded development environment — no scripts, no production data copies, no compliance risk.
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