Fake Data Generator — Realistic Mock Data for JSON, CSV, SQL, TypeScript

Over 25 built-in types: IDs (sequential, UUID v4), personal (first / last / full name, email, username, phone), address (street, city, country), business (company, job title), primitives (integer, float, boolean, enum), dates (date, datetime, ISO timestamp with range), network (IPv4, IPv6, MAC address, URL, user agent), text (Lorem sentence / paragraph), and colors (hex). Each field has type-specific config — e.g. integer min/max, date range, enum choices.

Every run uses a numeric seed. Same seed + same field config = identical output, byte for byte. Copy the seed to your clipboard, share it with a teammate, and they'll see the same rows. Click the reset icon next to the seed field to randomize it, or type any integer you like.

No. The whole generator — data lists, PRNG, formatter — runs in your browser. You can verify with DevTools Network panel: clicking Generate produces zero network traffic. The tool is safe to use for sensitive schemas (like PII-shaped tables) because nothing ever leaves your device.

Five formats, one click to switch: (1) JSON array — the most common, use for fixtures / mocks; (2) JSONL / JSON Lines — one object per line, good for BigQuery / streaming ingest; (3) CSV — with correct quoting for values containing commas or newlines; (4) SQL INSERT — one INSERT per row with a configurable table name and proper string / NULL / boolean escaping; (5) TypeScript — a `type Row = {...}` declaration plus a typed array literal you can paste straight into code.

Same idea, different constraints. faker.js is a Node / npm library with thousands of locales and edge cases. This tool is a browser-only version with a curated set of ~50 items per category — enough to look realistic for testing without the 500KB bundle. If you need more variety or specific locales (Japanese names, German addresses), install faker directly. For 90% of test-data needs — 'give me 100 fake users I can paste into my Postgres seed file' — this is faster.

Yes. Click 'Add field', pick a type, and set a name. For integer / float, set min / max. For dates, set from / to. For enum, provide a comma-separated list of your own values (like 'admin, member, guest'). Fields can be added, removed, and reordered — the output reflects the row schema you build in real time.