randarium
Datasets

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

No output yet — set your options and hit .
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.