About RomitJSON
RomitJSON is a browser-based collection of JSON tools, practical learning guides, and fictional sample datasets. It is built around common tasks developers, learners, and testers face when reading or preparing structured data.
Use the site to format a response so it is easier to inspect, find a syntax error, compare two documents, validate data against a schema, or convert records for another workflow. Each tool is focused on a specific job, with its own input and output requirements.
Meet Romit Kr Yadav.
Romit is the independent web developer behind RomitJSON. He builds practical browser-based tools and guides to make everyday developer tasks easier to work through. Read more about Romit.
One place for everyday JSON work.
JSON appears in API responses, configuration files, test fixtures, and application data. The same document can be difficult to scan when it is minified, rejected because of one misplaced comma, or unsuitable for a system that expects a table or another format. RomitJSON brings focused tools and explanations together so you can choose the next step without treating these different problems as if they were the same.
The site also includes guides that explain the underlying format and datasets made from fictional examples. Use them to learn object and array structure, practice with nested values, or check how cases such as null and empty arrays behave. Sample records are illustrative; they are not real people, production data, or live API responses.
Choose a tool for the task at hand.
Use the Formatter or Pretty Printer to add readable indentation. The Viewer and Tree Viewer help you follow nested objects and arrays; JSONPath Finder helps locate values by path.
The Validator reports whether text follows JSON syntax. JSON Repair can suggest or apply supported fixes to common JSON-like mistakes. Review repaired output before using it.
Make changes in the JSON Editor, then use JSON Compare to see how two documents differ. A difference report shows changes; it cannot decide whether they are correct for your application.
JSON Schema Generator can create a starting schema from sample data. The Schema Validator checks an instance against rules you provide. Review generated rules and adapt them to the real contract.
Convert compatible data to CSV, Excel, SQL, YAML, or XML. Converters have to map JSON’s nested structure into formats with different rules, so inspect the result and test it with the intended consumer.
Read about JSON syntax, formatting, common errors, schemas, APIs, and conversions. The guides explain what a tool can check and where its result still needs human review.
Useful at different stages of working with data.
Developers can inspect API responses, clean up configuration JSON, generate a draft type or schema, and prepare data for a documented integration.
Students and new JSON users can learn the syntax with examples and see how objects, arrays, strings, numbers, booleans, and null fit together.
QA testers, technical writers, and data teams can explore fictional datasets, check sample payloads, compare revisions, and prepare examples for tests or documentation.
You do not need an account to open the tools. For an important workflow, keep the original input and verify the output against the requirements of the system that will use it.
Clear scope matters as much as a useful result.
Indentation makes valid JSON easier to read. A formatter cannot make an invalid document valid unless a separate repair feature is used.
A JSON Validator checks syntax. It does not know whether a field is allowed by your API, whether a value is accurate, or whether business rules are satisfied.
CSV has no native nested objects or typed null; generated TypeScript reflects the sample it sees. Inspect converted output and test edge cases.
For schemas, API payloads, and generated code, compare results with the receiving service’s documentation or your project’s own contract.
Know how the tools and contact form work.
The current JSON tools process the JSON you enter in your browser; their code does not send that input to a RomitJSON server. Some tools request a JavaScript library from a content delivery service so the browser can run that feature. For example, the YAML and Excel converters load libraries from jsDelivr, while the Schema Validator and JSONPath Finder load libraries from esm.sh. According to the current implementation, those library requests do not include your JSON input.
The contact form is separate from the tools: submitted contact details are sent to FormSubmit for email forwarding. Website hosting may also process standard technical request information. Review the Privacy Policy for the services, data handling, and important limitations. Avoid entering passwords, access tokens, private customer records, or other sensitive data into an online service unless it is approved for that use.
Questions or a suggestion?
If a tool behaves unexpectedly, a guide needs clarification, or you have an idea for an improvement, visit the Contact page. Include the name of the tool and a description of what you expected; do not include passwords, API keys, or confidential data in a report.
Explore all JSON tools or browse the Learn JSON guides to get started.