Advanced Fake Data Generator

Generate realistic test data with custom schemas, value distributions, and export to multiple formats.

Schema Builder

Generate Options

Same seed = same data

60+ Data Types

Comprehensive collection of data types across multiple categories.

Custom Values

Define your own value lists with different distribution types.

Smart Distribution

Random, uniform, weighted, or sequential value distribution.

5 Export Formats

Export to JSON, CSV, Excel, XML, or SQL statements.

Available Data Types

Personal

firstNameFirst Name
lastNameLast Name
fullNameFull Name
emailEmail
usernameUsername
phonePhone Number
ageAge
genderGender
ssnSSN (Fake)

Address

streetStreet Address
cityCity
stateState
zipCodeZip Code
countryCountry
latitudeLatitude
longitudeLongitude

Business

companyCompany Name
jobTitleJob Title
departmentDepartment
employeeIdEmployee ID
salarySalary

Commerce

productNameProduct Name
pricePrice
quantityQuantity
skuSKU
categoryProduct Category
brandBrand

Technical

uuidUUID
ipAddressIP Address
ipv6AddressIPv6 Address
macAddressMAC Address
urlURL
userAgentUser Agent
portPort Number

Financial

creditCardCredit Card
ibanIBAN
currencyCurrency Code
amountAmount

DateTime

dateDate
dateTimeDate & Time
timestampTimestamp
timeTime
yearYear
monthMonth

Lorem

wordLorem Word
sentenceLorem Sentence
paragraphLorem Paragraph

Other

booleanBoolean
randomNumberRandom Number
percentagePercentage
statusStatus
colorColor (Hex)
emojiEmoji

Custom

customListCustom Value List

Frequently Asked Questions

Free Fake Data & Test Data Generator

Developing and testing applications requires realistic data — but using real customer data violates privacy regulations like GDPR and CCPA. Our free fake data generator creates statistically realistic synthetic data for names, emails, addresses, phone numbers, dates, UUIDs, company names, and dozens of other data types — all fictional and completely safe to use in development environments.

Build a custom schema by selecting the fields you need, set the quantity (1 to 10,000 rows), and export instantly to JSON, CSV, Excel, or XML. No registration required. All generation happens in your browser.

How to Generate Fake Test Data

  1. 1

    Build your schema

    Add fields by clicking "Add Field". For each field, give it a name (e.g., "first_name", "email") and select the data type (Name, Email, Address, Phone, Date, Number, UUID, etc.).

  2. 2

    Configure field options

    Many field types have options. For numbers, set min/max ranges. For dates, set a date range. For names, choose full name or first/last separately.

  3. 3

    Set the row count

    Enter how many records you want to generate — from 1 to 10,000. Larger datasets may take a moment to generate.

  4. 4

    Preview the data

    Click Generate to instantly create your dataset and preview it in a table. Review the output to ensure the data types and formats match your requirements.

  5. 5

    Export in your format

    Download as JSON (for APIs and JavaScript), CSV (for spreadsheets and databases), Excel (for business users), or XML (for legacy systems and SOAP APIs).

When to Use a Fake Data Generator

Application Development

Seed development databases with realistic data to test UI components, pagination, search, and filtering without exposing real user data.

API Testing

Generate realistic payload data for testing REST or GraphQL API endpoints, including edge cases with unusual names, long strings, or special characters.

UI/UX Design Prototypes

Populate Figma or browser prototypes with realistic data instead of "Lorem Ipsum" to better evaluate design decisions.

Database Performance Testing

Generate large datasets (10,000+ rows) to performance-test database queries, indexes, and pagination under realistic load conditions.

QA & Test Automation

Create test fixtures for unit tests, integration tests, and E2E test scripts without maintaining hand-crafted test data files.

Machine Learning

Generate synthetic training datasets for ML models, particularly useful for privacy-sensitive domains like healthcare or finance.

Frequently Asked Questions

Is the generated data truly random?
The data is procedurally generated using randomization, but it follows realistic patterns — names come from real name databases, addresses use real street name formats, phone numbers follow valid number patterns. Realistic enough for meaningful testing without being real data.
Can I generate data in a specific locale or country?
Yes. Many field types support locale selection — US addresses, UK phone numbers, German names, etc. Localizing your test data ensures it passes format validation relevant to your target market.
Is this tool GDPR compliant to use?
Yes. Since all data is entirely fictional and generated locally in your browser, there is no personal data involved — GDPR and privacy regulations only apply to data about real, identifiable people.
What is the maximum number of rows I can generate?
You can generate up to 10,000 rows per generation. For very large datasets, consider generating in batches and merging the CSV or JSON files.
Can I save my schema for later use?
Yes. Your schema configuration can be saved and loaded so you don't have to rebuild it every time. Use the Save Schema and Load Schema buttons to persist your field configuration.

Fake Data vs. Anonymized Data

Anonymized data is derived from real data by removing identifying information — but it carries re-identification risks and may still be subject to privacy regulations. Fake (synthetic) data is generated entirely from scratch with no connection to real individuals, making it the safest choice for testing, demos, and training.

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