What is a fake data generator?

A fake data generator creates realistic-looking but entirely fictitious records for use in software development, testing, and demonstration. The Custom Fake Data Generator at Data Conversion Center lets you choose exactly which fields to include — from names and addresses to UUIDs and credit card numbers — and exports the result as CSV, JSON, XML, or TSV.

Are the generated credit card numbers real?

No. Credit card numbers are generated using the Luhn algorithm to produce correctly formatted test numbers that pass format validation — but they are not real card numbers and cannot be used for any transaction.

How many records can I generate at once?

Up to 10,000 records per generation. All generation happens in your browser with no server involved. For very large datasets, generate in batches and merge the files.

Does this tool send any data to a server?

No. All field datasets are embedded directly in the page and all generation runs in JavaScript locally in your browser. No network requests are made during generation or download. Nothing is transmitted anywhere.

Custom Fake Data Generator — Build Realistic Test Data Instantly

Generate realistic fake test data for development and testing. For address-only datasets, the Fake Address Generator is faster. For relational multi-table data with foreign keys, use the Relational Data Generator. Data with exactly the columns your project needs. Choose from 50 field types — names, addresses, emails, phone numbers, UUIDs, credit cards, job titles, timestamps, and more. Rename columns to match your schema, drag to reorder, then export as CSV, JSON, XML, or TSV. Up to 10,000 records per run. Runs entirely in your browser — no upload, no account, no cost.

Available Fields — click to add

Your Columns (0)

← Click fields on the left to add columns
Drag rows to reorder · Click name to rename

Records (max 10,000)

Output format

Preview — first 8 records

How It Works

Pick your fieldsClick any field type from the left panel to add it as a column. Add as many as you need in any combination — including multiples of the same type.

Rename and reorderClick any column name to rename it to match your schema. Drag the ⠿ handle to reorder columns.

Set count and formatChoose how many records to generate (up to 10,000) and your preferred output format.

Generate and downloadClick Generate Data, preview the first 8 records in the table, then copy or download the full file.

When to Use This Tool

→Seeding a test database with realistic records that match your exact column schema
→Testing import pipelines, ETL jobs, and data validation logic with structurally valid input
→Populating demo environments and sales presentations with data that looks authentic
→Generating test fixtures for unit and integration tests without hardcoding values
→Training staff on data entry systems without exposing real customer or employee records

🔒 Privacy & Security

All data generation runs entirely in your browser using embedded JavaScript datasets. No network requests are made during generation. Your output is created in browser memory and downloaded directly to your device — nothing is transmitted to any server.

You Might Also Need

Fake Address Generator → CSV to JSON → JSON Formatter →

📖 New: Read our in-depth guide — How to Use the Custom Fake Data Generator: Real-World Use Cases and Examples — covering database seeding, API testing, demo environments, and more.

Why Use Fake Data Instead of Real Data for Development?

Privacy and compliance — using real customer data in development environments creates GDPR, HIPAA, and data protection risks. Fake data carries no legal exposure.
Consistent test scenarios — fake data can be generated deterministically (using a seed) so every developer on a team has the same test dataset.
Edge case testing — generate names with apostrophes, addresses with special characters, and dates near boundaries to test how your application handles them.
Performance testing — generate 10,000 or 100,000 rows to stress-test queries and UI performance without extracting production data.
Demo environments — sales demos and client presentations need realistic-looking data that cannot be traced back to real individuals.
Database seeding — seed a fresh development database with realistic-looking data so developers can start working immediately without importing production data.

Choosing the Right Output Format

Format	Best For
CSV	Spreadsheet import, Excel, Google Sheets, bulk database imports via COPY/LOAD
JSON	REST API testing, NoSQL databases (MongoDB, Firebase), JavaScript applications
JSON Array	Direct use in JavaScript/TypeScript code, test fixtures
SQL INSERT	Populating relational databases directly; specify your dialect
XML	Legacy systems, enterprise integrations, SOAP API testing
TSV	Tab-separated for tools that choke on commas in values

Test Data Generation Workflow

Fake data fits into a complete development and testing workflow:

Generate realistic US addresses as a dedicated address workflow
Generate relational datasets with foreign key relationships across multiple tables
Validate the JSON export after generating data
Convert exported CSV to JSON for use in JavaScript applications

Frequently Asked Questions

Can I add the same field type more than once?▼

Yes — click the same field chip multiple times to add multiple columns of that type. Each is independent and can be renamed separately. Useful for adding a work phone and mobile phone, multiple date fields, or two address columns.

Can I rename column headers?▼

Yes — click the column name in the right panel to edit it. The output file uses exactly what you type. Rename "First Name" to "first_name", "fname", or whatever your schema expects.

Are the credit card numbers real?▼

No. They are generated using the Luhn algorithm to produce correctly formatted numbers that pass format checks — but they are not real card numbers and cannot be used for any transaction. They are test values only.

Are the SSNs real?▼

No. Generated SSNs always use area numbers above 900, which the SSA has never issued. They are formatted correctly but are guaranteed-invalid as real Social Security Numbers.

How many records can I generate?▼

Up to 10,000 per generation. All generation runs in your browser — larger datasets take a few seconds. For very large datasets, generate in batches and merge the files.

Does this send data to a server?▼

No. All field datasets are embedded in the page and all generation runs in JavaScript locally. No network requests are made during generation or download.