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Fake Database

Free fake data generator — 120+ fields, 7 export formats

Productivity
Open Source
Developer Tools
GitHub
Visit WebsiteSee on Product HuntGithub

Hunted byBruno BonettoBruno Bonetto

Generate realistic fake data for testing and development. 120+ fields, 15 templates, CSV/Excel/JSON/SQL/XML/YAML export. Free, no signup, runs in your browser.

Top comment

Every developer needs realistic test data at some point. But the options are limited: Mockaroo charges $49/month for features like SQL export and Excel, Faker.js requires a backend, and random generators create isolated fields with no correlations between them. Fake Database is a free, browser-based tool that solves this. It generates realistic fake data with 120+ fields across 19 categories, 15 pre-built templates, and 7 export formats. What makes it different: • Cross-field correlations — gender determines name, age determines salary, car brand determines model. Data is internally consistent, not random. • 7 export formats — CSV, Excel (.xlsx), JSON, SQL (CREATE TABLE + INSERT), XML, YAML, and interactive table view. Most competitors charge $49/month for SQL + Excel. • Custom columns — add unlimited fields with SQL-like types (INT, VARCHAR, DATE, UUID, etc.) • Null & error injection — configurable rates for edge-case testing • US + Brazilian data — locale-aware formatting for CPF/CNPJ, SSN/EIN, addresses, phones, dates • 100% client-side — no server, no signup, no data sent anywhere Built with React, TypeScript, and Vite. Open source.

Comment highlights

Runs entirely in the browser with no signup, which is such a relief compared to most data tools these days. The SQL export saved me a bunch of time setting up a test environment.

The browser-only approach is a really thoughtful choice here, no server uploads means my test data stays where it belongs. Appreciate the export format range too, especially YAML.

About Fake Database on Product Hunt

Free fake data generator — 120+ fields, 7 export formats

Fake Database was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #123 on the daily leaderboard. Generate realistic fake data for testing and development. 120+ fields, 15 templates, CSV/Excel/JSON/SQL/XML/YAML export. Free, no signup, runs in your browser.

Fake Database was featured in Productivity (656.2k followers), Open Source (68.6k followers), Developer Tools (515.9k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 260.9k products, making this a competitive space to launch in.

Who hunted Fake Database?

Fake Database was hunted by Bruno Bonetto. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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