Realistic seed data on demand.
id | name | email | city | role | score | active | signed_up |
|---|---|---|---|---|---|---|---|
| 1 | Larry Kernighan | margaret.jackson57@data.com | Singapore | Researcher | 25.0 | false | 2024-06-28 |
| 2 | Tony Jackson | margaret.wall@lab.dev | Lisbon | Engineer | 3.2 | true | 2023-02-15 |
| 3 | Mary Allen | ada.jackson@lab.dev | Lisbon | Analyst | 3.7 | true | 2024-02-11 |
| 4 | Yukihiro Torvalds | edsger.hoare@lab.dev | São Paulo | Engineer | 29.3 | true | 2024-04-26 |
| 5 | Margaret Hamilton | katherine.sprckjones@data.com | Paris | Engineer | true | 2023-12-18 | |
| 6 | Larry Conway | hedy.sprckjones@example.com | Berlin | Designer | 12.1 | false | 2024-02-15 |
| 7 | Carol Kernighan | bjarne.matsumoto@lab.dev | Sydney | Analyst | 69.5 | false | 2024-10-11 |
| 8 | Dennis Lerdorf | alan.hamilton@demo.io | Buenos Aires | Engineer | 82.2 | true | 2024-12-11 |
| 9 | Mary Lamarr | edsger.ritchie@lab.dev | Toronto | Engineer | 88.7 | true | 2024-08-01 |
| 10 | Ken Turing | ken.lovelace@data.com | Cape Town | Researcher | 60.4 | true | 2023-05-15 |
| 11 | Grace Lamarr | donald.knuth40@lab.dev | Tokyo | Researcher | 98.9 | true | 2023-05-05 |
| 12 | Rasmus Knuth | brian.ritchie71@demo.io | Toronto | Researcher | 49.5 | true | 2024-02-03 |
| 13 | Yukihiro Torvalds | donald.hoare70@demo.io | Berlin | Designer | 12.5 | true | 2023-01-31 |
| 14 | Yukihiro Dijkstra | ken.lamarr@demo.io | Mumbai | Engineer | 52.6 | true | 2024-10-14 |
| 15 | Brian Vaughan | barbara.dijkstra@lab.dev | Seoul | Analyst | 84.3 | true | 2023-02-09 |
| 16 | Katherine Jackson | margaret.perlman@lab.dev | Singapore | Researcher | 59.9 | true | 2023-11-23 |
| 17 | Lynn Hamilton | karen.wall@demo.io | Berlin | Analyst | true | 2024-04-17 | |
| 18 | Hedy Spärck Jones | brian.lamarr23@data.com | Paris | Engineer | 44.1 | true | 2024-06-06 |
| 19 | Frances Allen | anders.vanrossum@example.com | Lagos | Analyst | 30.8 | true | 2024-01-04 |
| 20 | Donald van Rossum | anders.kernighan22@lab.dev | Paris | Researcher | 87.1 | true | 2024-01-02 |
| 21 | Katherine Liskov | ken.dijkstra@example.com | New York | Researcher | 66.1 | true | 2024-02-05 |
| 22 | Barbara van Rossum | katherine.johnson15@example.com | Stockholm | Designer | 97.7 | true | 2023-10-17 |
| 23 | Bjarne Knuth | rasmus.dijkstra@data.com | Sydney | Designer | 93.5 | true | 2024-02-20 |
| 24 | Barbara Hoare | radia.lerdorf@demo.io | São Paulo | Researcher | 76.7 | true | 2024-04-06 |
| 25 | Margaret Easley | lynn.hoare@demo.io | Toronto | Designer | 61.8 | false | 2024-05-19 |
Tip: use samples, upload, copy, download, and send-to actions inside the workspace where available.
Fake Dataset Generator is a free, browser-based tool that helps you produce ready-to-use output in seconds. Realistic seed data on demand. It's built for speed and privacy: Everything runs locally in your browser — your data is never uploaded to a server. No sign-up, no installs, and no daily limits.
Rows: 5 Fields: id, name, email, created_at Format: CSV
Five generated records that can be copied, downloaded, or used as test data.
Generate a short sample with default options
A compact result that is easy to paste into docs, tests, or demos.
Adjust length, fields, format, or constraints
The generated result follows the options you selected.
Create mock values for local testing
Copyable output that can be used in a test file or seed script.
Generate a clean, readable example for a README or guide
A small example that explains the expected format clearly.
Generate a sample or helper artifact, then copy it into the workflow that needs it.
Review the preview, copy or download the result, and keep everything local in your browser.
Auto Schema Detector: Infer a schema (types, nullability, uniqueness) from any sample dataset.
Open tool