Finance Fields Generator
Create realistic financial data including prices with currency symbols, discount percentages, tax rates, currency amounts, and exchange rates for testing and documentation.
Also known as: financial data · price data · currency values
seeded
Presets
Output
About this tool, tips & examples
What it does
The Finance Fields Generator produces individual financial values in realistic formats: prices with currency symbols, discount percentages, tax rates, plain currency amounts, and exchange rates. Pick the field type and currency, generate up to 1,000 values per run, and reuse a seed for reproducible fixtures. It’s the quick way to fill one financial column without generating a whole dataset.
Common use cases
- E-commerce testing — price and discount columns for product tables, cart math, and display formatting.
- Pricing tables and mockups — plausible numbers for landing pages and dashboard widgets.
- Currency handling — symbol placement, decimal conventions, and parsing across currencies.
- Exchange-rate fixtures — rate values for conversion logic and display tests.
Settings
- Field type — price, discount percentage, tax rate, currency amount, or exchange rate (presets for USD prices and discounts).
- Currency — the denomination and symbol used for money-typed fields.
- How many — 1 to 1,000 values, exportable as text, CSV, or JSON.
- Seed — identical seed + settings = identical values.
Privacy note
Values are generated locally in your browser and never uploaded. They are synthetic numbers in realistic ranges — not market data, not real prices, and not financial advice.
FAQ
Are the exchange rates real? No — they’re plausible values for testing conversion code, not live market rates. Never use them for actual conversions.
Why not just use random numbers? Formatting is the point: real prices carry symbols, decimal conventions, and psychologically clustered values that a plain RNG doesn’t produce — and your parsing and display code should meet the realistic shapes.
I need whole transactions, not single values. Use the Fake Transaction Dataset for ledgers with accounts and merchants, or the Fake Invoice generator for billing documents.