Use this fake data generator for persons, addresses, companies or lorem ipsum. Choose row counts and export CSV using secure random rows. Offline tool.
Part of our Generators collection — Explore more Generators tools · See also: Password & Passphrase Generator, Lorem Ipsum Generator.
Quick answer: Fake Data Generator — Generate test data Free, no signup, runs in your browser. See below for the interactive tool, 4-step guide and FAQs.
Generate realistic fake datasets for testing — people, addresses, companies or lorem text. Data is generated locally using crypto.getRandomValues and deterministic fake arrays.
1 – 500
Choose a data type and count, then click Generate to create fake data.
Reviewed by the Tool4SaaS Editorial Team — In-house reviewers who build and test every tool locally for accuracy across current Chrome, Edge, Firefox, and Safari. Last updated: . See our authors, methodology or contact us.
No. All names, addresses, and companies come from fake lists with no real person. For example, James Smith in New York or Aarav Sharma in Mumbai are random combos for tests. Use them freely for signup forms, UI mocks, and demos without privacy risk.
Yes. Generation uses crypto.getRandomValues locally in your browser with no upload. For example, 50 persons with names and cities build on-device, work offline free, and clear on close. No real database is touched and nothing logs to servers.
Generate 1 to 500 rows per batch, with locale US, UK, or IN formatting. For example, make 20 for UI tests or 200 for load tests, then copy the table or download test-users-20.csv. Phone, ZIP, and city formats match locale for Excel or QA.
US uses +1 with ZIP like New York, UK uses +44 with postcode like London SW1A, IN uses +91 with PIN like Mumbai. Our tool formats batches for validation. For example, James Smith +1 New York versus Aarav Sharma +91 Mumbai test internationalization. QA teams catch regex bugs, designers review layouts, developers seed staging without real PII daily.
Use 20 rows for UI reviews, form validation, and demo screenshots where readability matters. For example, load test-users-20.csv into Figma tables. Use 200 rows for pagination, search performance, and import stress tests. Our maker builds up to 500 rows, copies tables, downloads CSV, and runs offline. Always label fixtures synthetic to prevent confusion with production data.
Synthetic generator produces persons, addresses, companies, and lorem ipsum for UI, demos, and load checks without real personal data exposure. Example 1: pick person US 20 rows to receive James Smith New York with +1 phones and ZIPs for signup mocks. Example 2: pick person IN 20 rows to receive Aarav Sharma Mumbai with +91 phones and PINs for localization tests. QA engineers populate sheets, designers fill prototypes, teachers illustrate databases, and sales teams demo dashboards realistically. Each row draws from crypto-shuffled lists, combos look natural but stay fictional. Copying pastes into Excel, CSV download feeds pipelines, offline mode protects privacy. Startups validate onboarding, agencies present concepts, nonprofits train staff securely every day without compliance reviews. Engineers stress APIs, designers populate prototypes, and trainers illustrate queries with believable yet safe datasets daily.
Type selects schema, locale selects formatting conventions, count selects volume for targeted test scenarios and coverage. Reference locale table: US uses +1 and 5-digit ZIP New York | UK uses +44 and postcode London | IN uses +91 and 6-digit PIN Mumbai | person includes name email phone | address includes street city postal. Set 1 to 500 rows; 20 suits UI, 200 suits load with varied cities. For example, 20 US rows give diverse names and ZIPs for grid testing. Each row draws from crypto.getRandomValues lists, ensuring natural variety. Edge case: repeated runs may duplicate common names; regenerate or increase count for wider coverage before snapshot tests. Marketers segment campaigns, analysts model funnels, and support teams reproduce issues without exposing customer records.
Example 1: choose person IN 20 rows, click Generate for names and Mumbai cities, download test-users-20.csv for Excel and QA pipelines. Example 2: choose address US 50 rows for checkout validation with streets and ZIPs. Edge case: synthetic phones may coincidentally match real numbers; clearly label fixtures and avoid sending messages. Limitation: data is fictional and generic, without culturally nuanced slang, valid checksums, or deliverable addresses for production use. For placeholder prose try writer at /lorem-ipsum; for unique IDs explore maker at /random-number, both offline companions. Document synthetic origin, clean staging after tests, and never mix with customer records. Schools teach SQL, startups demo dashboards, and auditors sample controls while maintaining strict separation from production systems at all times strictly enforced.