Mockaroo Alternatives: Free Test Data Up to 100,000 Rows

Short answer: Mockaroo is very good, and most people searching for an alternative are not unhappy with it — they have hit the 1,000-row free limit. That is worth naming clearly, because it changes the question. If you need Mockaroo's schema designer, you need Mockaroo. If you needed realistic people and addresses and the row cap got in the way, a fixed-schema generator will do that part for free at a hundred times the volume. This page is about telling those two situations apart.

What Mockaroo actually is

Mockaroo is a schema-driven test-data generator ^{[mockaroo-home]}. You build a table column by column, choosing a data type for each — names, emails, IP addresses, and a long list of others — then download the result as CSV, JSON, SQL or Excel ^{[mockaroo-home]}. Its real power is in the parts beyond the type list: formulas that derive one column from another, the ability to load your own custom datasets, and a mock-API feature where you design endpoints with your own URLs, responses and error conditions ^{[mockaroo-home]}.

That combination makes it a genuinely different category of tool from a fake identity generator. A generator produces one predetermined kind of record well. Mockaroo produces whatever record you describe. If your test data has to match a schema you did not choose — a legacy orders table, an event payload with your own enum values, a CSV a partner insists on — that flexibility is the whole product and there is no free substitute for it.

Where the free tier stops

Mockaroo's plan limits are published and easy to check, and they are the reason this page gets searched for ^{[mockaroo-pricing]}. The free tier is capped at 1,000 rows per file and 200 API requests per day. Everything above that is a paid plan.

Those prices are reasonable for what the tool does. $60 a year for 100,000-row files and a million API records a day is not an aggressive number, and if you generate test data weekly it will pay for itself in saved fiddling. The honest recommendation for a working team that needs schema flexibility is to buy Silver and stop reading.

The cases where that does not resolve it are specific: a one-off data migration rehearsal that will never recur; an open-source project that cannot take on a paid dependency contributors would also need; a CI pipeline that would exhaust 200 free requests before lunch and does not justify a subscription line item; or an organisation where getting a $60 purchase approved costs more in process than the software costs in money. Those are real, and they are what alternatives are for.

What a fixed-schema alternative gives you instead

The trade a fixed-schema generator makes is explicit: you give up choosing the columns, and in exchange the columns you do get are generated with more care and without a row cap. On this site the bulk exporter builds up to 100,000 rows in your browser — the same volume Mockaroo's Silver tier allows — as CSV, JSON or SQL, with no account and no payment. Because generation happens client-side, there is no server cost to meter and therefore no quota to sell.

The care shows up in a place worth checking on any generator you evaluate: whether the geographic fields agree with each other. Addresses here pair a real locality with a postal code that is genuinely valid for it, and randomize only the house number ^[usps-zip]. A record whose city and ZIP disagree passes a naive format check and then fails every real address validator, which means it never exercises the success path of the code you were trying to test.

The second difference is reproducibility. Generation is a pure function of a seed, so passing the same seed returns byte-identical records. That turns generated data into something you can commit as a fixture and assert against, rather than something that changes under your snapshot tests on every run. Mockaroo saves the schema so the shape is stable; it does not promise the same values back. The guide to deterministic test-data seeding covers why that distinction matters more than it sounds.

Third, the free API needs no key, no account and no quota application. It returns identities, addresses, names and test IMEI numbers as JSON, CSV or SQL, accepts the same seed parameter, and allows roughly 120 requests per minute per IP. For a CI job that wants fresh-but-reproducible fixtures on every run, that is a materially different constraint from 200 requests per day.

Feature comparison

Every row below is checkable on both sites. Where Mockaroo leads, the table says so plainly — it leads in more rows than it trails.

Where Mockaroo is the right answer

• Your schema is not a person. Invoice line items, telemetry rows, a join table with your own foreign keys — anything where the columns are yours. Nothing free covers this.
• You need derived columns. A total that equals quantity times price, a status that depends on a date. Formulas are Mockaroo's answer and a fixed schema has none.
• You need to mock an endpoint, not just data. Designing URLs, responses and error conditions is a separate feature and a genuinely useful one ^{[mockaroo-home]}.
• You are past 100,000 rows. Gold's 10 million-row files have no free equivalent anywhere.
• You want one tool for everything. Paying $60 to stop evaluating tools is a rational purchase, and this page is not trying to talk you out of it.

Where a free alternative is the right answer

• Your test data is people. Users, customers, contacts, patients, members — records with names, addresses, phones and emails that have to look plausible and validate.
• You hit the row cap on a one-off task. A migration rehearsal or a load test that will not recur does not justify a subscription.
• Your CI runs it on every commit. 200 requests a day is an exploration budget, not a pipeline budget.
• You need committed fixtures. Seeded, byte-identical output is what makes generated data safe to check into a repository.
• Contributors cannot be asked to buy anything. Open-source and course material need a tool that works with no account.

Other options worth knowing

Two more are worth a mention because they occupy different corners of the same space. Faker.js is a library rather than a service: it runs locally, has no quota at all, and is the right answer when generation belongs inside your code — at the cost of writing that code and maintaining the field mapping yourself. randomuser.me is a free keyless API with profile photos, which nothing else here provides, though its address fields are not geographically consistent.

There is no single best tool in this category, and any page claiming otherwise is selling something. The useful question is narrow: is your bottleneck the shape of the data, or the amount of it? Schema problems are Mockaroo problems. Volume problems have free answers.

The honest bottom line

Mockaroo earned its position and its subscription. It is the most flexible tool in the category, its pricing is fair, and if you need arbitrary schemas you should pay for it rather than fight a free tool into a shape it was not built for. But a large share of the people who hit its 1,000-row wall were only ever generating people and addresses, and that specific job is free at a hundred times the volume with better geographic consistency and reproducible output. Start with the bulk exporter or the free API, and if you find yourself wishing you could add a column, that is your answer about which tool you actually needed.