GraphQL Query Formatter
Format a GraphQL query with readable indentation and field nesting so requests are easier to review, share, and debug.
Format a GraphQL query with readable indentation and field nesting so requests are easier to review, share, and debug.
Example GraphQL Query Formatter result Developer result - Cleaned or transformed value - Validation note or error location - Copy-ready output for the next tool Next step: validate the cleaned value, copy it, or open a related converter
How to use GraphQL Query Formatter
Common uses include Clean copied GraphQL queries, Review nested field selections, Prepare readable request examples.
- Open GraphQL Query Formatter and paste the code, data, URL, token, or file sample you want to check.
- Choose the parsing, formatting, encoding, or validation option that matches the source format. Focus first on Clean copied GraphQL queries.
- Run the tool and compare the output with your original snippet or technical requirement. Use the next pass to Prepare readable request examples.
- Copy the cleaned result, transformed value, or diagnostic note when it is ready for Review nested field selections.
Useful for
- Clean copied GraphQL queries
- Review nested field selections
- Prepare readable request examples
Common issues
The parser reports a syntax error.
Check quotes, commas, brackets, delimiter choice, and escaped characters before copying the result.
The copied value breaks in another tool.
Compare encoding, line endings, field order, and required format rules in the target service.
How to interpret the result
Use the output as a technical checkpoint and compare it with the original snippet before adding it to code, docs, or an API request.
Related workflow
Next path: GraphQL Query Formatter -> GraphQL Variables Validator -> Greek Latin Transliterator. Keep the original input nearby so you can compare each result before using it elsewhere.
Privacy and review notes
This tool is designed to process inputs in the browser where the workflow allows it. For important work, compare the output with your original source and the rules of the service where you will use it. Use non-sensitive examples and review the output before sharing or submitting it.