Free Fake User Profile Generator

The Fake User Profile Generator is a free online tool that generate realistic fake user profiles with names, emails, addresses, and more for testing. It runs entirely in your browser with no installation or sign-up needed.

Name, email, username, phone, date of birth, address, company, job title, and avatar URL.

Yes — select from multiple locales for locale-appropriate names and addresses.

Yes, completely free.

Yes, the Fake User Profile Generator is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.

No account or registration is needed. Simply open the Fake User Profile Generator in your browser and start using it immediately. There are no sign-up walls or usage restrictions.

Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.

The Fake User Profile Generator works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.

Yes. The profiles this tool produces are entirely fictional, assembled from curated name, city, street, and company lists, so no real person's details are ever reused or exposed. Because everything is generated locally in your browser, nothing is uploaded or linked to a live account. That makes it well suited to seeding a database, populating a UI mockup, or stress-testing a signup form without touching production records or scraping real users. Two limits to respect: the emails, phone numbers, and addresses are not deliverable, so never send mail or use them for real communication, and the bcrypt-style password hash is a display placeholder, not a working credential. Keep the output to development, QA, and demos rather than anything customer-facing. Pick your locale and count, click generate, and you have safe, plausible sample data in seconds.

You can create between 1 and 100 profiles in a single batch using the Count field. Set it to 1 when you just need one record to fill a form, or push it toward 100 to seed a table or test how a list view handles many rows. Each profile in the batch is generated independently, so names, emails, ages, and addresses vary across the set rather than repeating. Because the work happens locally in your browser with simple random selection, even a full batch of 100 appears almost instantly with no waiting or server round-trip. If you need more than 100, just generate another batch and combine the exported files. Enter your desired count, choose a locale and gender, and click Generate to build the whole set in one step.

Both export the same batch, but in formats suited to different jobs. JSON keeps the data as a structured array of objects, with each field labelled, so it drops straight into code, an API mock, or anywhere you parse JSON. You can either download it as a fake-users.json file or use Copy All JSON to paste it directly. CSV flattens every profile into one row with a header line, which is what spreadsheets like Excel and Google Sheets and most bulk-import tools expect; fields containing commas or quotes are automatically quoted and escaped so the columns stay aligned. Choose JSON when a program will read the data and CSV when a human or a spreadsheet will. Generate your batch, then click the JSON or CSV button to download whichever format fits your workflow.

Each profile is built to be internally consistent, so the contact fields are derived from the generated name rather than chosen at random. The username combines the lowercase first and last name with a couple of digits, while the email pairs the same first and last name with a common provider domain like gmail.com or a locale-specific one such as orange.fr or web.de. This mirrors how real accounts are usually created and makes the records more convincing for testing display logic, avatars, or validation rules. The matching also extends to location and phone: a US profile gets a US city, state abbreviation, and a +1 number, while a Japanese one uses a Japanese surname and a +81 number. That coherence is the point when your tests check per-country formatting. Generate a batch to see how each field lines up.

No to both, and each behaves differently. The avatar is a DiceBear image URL seeded from the profile's name, so the same name always renders the same unique cartoon face; the URL is the only outbound reference, and the image is fetched only if you actually load it. The password hash looks like a bcrypt string but is a display-only placeholder produced from a simple non-cryptographic function. It exists so your test forms have something hash-shaped to render, not so it can authenticate anyone, and it should never be treated as a usable secret. Everything else in the profile is fabricated too, so the avatar, hash, email, and phone are all for prototyping rather than real use. Generate a batch to drop these placeholder fields straight into your mockups and test fixtures.