What the Random Structured Data Generator helps you do
Use this page to create a small, reviewable set of XML, YAML, or TSV records from field names and simple value types for tests, demonstrations, and import previews. The workspace keeps the source, settings, and result together so you can understand what changed instead of receiving an unexplained clipboard value. Start with a small known example before using unfamiliar data.
The schema “name:string”, “count:integer”, and “active:boolean” produces records with the same three fields in the selected format. Quantity controls the number of records, not the number of fields. The visible result remains available for selection, copying, and download. Nothing is copied or saved automatically, so you can stop and compare it with the source before taking the next step.
How the conversion works
Each schema line uses name:type. Supported types are string, integer, boolean, and date. The page creates each row locally, escapes XML text, preserves TSV columns, and writes readable YAML. With no seed, values use the browser’s secure random-byte source.
Choose the format expected by the system you are testing. Leave the seed empty for fresh random samples. Entering a seed switches to clearly labelled repeatable testing mode so the same schema and seed produce the same fixtures. Inputs and outputs stay in the current browser tab during ordinary use. NexaCurrent does not upload the working value to perform this operation. Reset clears the entered value, settings, result, messages, and generated download from the workspace.
How to use Random Structured Data Generator
Enter or paste the smallest complete source value that represents your task. Choose the source format, direction, byte order, output family, or fixture type shown on this page. Run the primary action, read the summary, and inspect the complete visible result before using Copy or Download.
Inspect field names, row count, quoting, and value types in the visible result before downloading. Parse the file with the same importer used by the target system. If the receiving application has its own specification, sample, or validator, use that as a second check. A successful result here confirms this page’s stated rules; it cannot promise that another system has selected the same convention.
Errors, boundaries, and recovery
Invalid field names, duplicate or malformed definitions, unsupported types, more than 20 fields, quantities outside 1–100, and oversized source text stop generation with a visible correction. An error clears an earlier result so an obsolete success cannot be mistaken for the corrected answer. Fix the first message, then run the operation again. Changing the input or a setting also removes stale copy feedback.
Text input is limited to 200,000 characters, generated quantity to 100 items, and pattern or schema expansion to the smaller limits shown beside those controls. These bounds keep one browser tab responsive. For a large file or batch, use a streaming command-line tool and preserve an original copy.
Limits and responsible use
Generated values are synthetic placeholders, not realistic people, assigned identifiers, production records, or a substitute for schema validation. Seeded mode is predictable and must never be treated as secure randomness.
Do not paste a real password, private key, access token, personal record, or production customer dataset when a harmless sample can prove the same behavior. Treat downloaded output as a new file, keep the source until the target system accepts it, and document the selected format whenever another person must reproduce the result.