JSON Formatter and Validator
Format, validate, inspect, search, and analyze JSON in code, tree, table, schema, and statistics views.
Open toolComplete JSON workbench
Everything you need to work with JSON
Format, repair, compare, convert, validate, and inspect JSON without sending your data to a server.
Browse all tools
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JSON tools
This tool processes your content locally in the browser. Your input is not uploaded or stored.
Who it is for
Who it is for
JSON tools support developers building and debugging APIs, data engineers preparing exports, configuration maintainers validating files, and QA testers inspecting payloads. The full workflow runs locally in the browser.
What you can do here
What you can do here
- Format and validate JSON documents
- Repair malformed JSON with a reviewable change list
- Compare and diff JSON files
- Convert JSON to CSV, SQL, YAML, and TypeScript
- Validate data against JSON Schema
- Query JSON with JSONPath expressions
Choose your JSON task
Choose your JSON task
Make JSON readable
Format minified JSON and inspect it in code, tree, or table view.
Open toolFix invalid JSON
Repair common syntax problems and review every automatic change.
Open toolCompare two JSON files
Find added, removed, and changed paths between two versions.
Open toolGenerate a schema
Infer JSON Schema from a representative sample object or array.
Open toolConvert JSON
Transform JSON into CSV, YAML, or TypeScript output.
Open toolExplore nested data
Open and close branches, search values, and copy exact paths.
Open toolJSON tools by purpose
JSON tools by purpose
JSON Repair Tool
Repair common JSON syntax problems and review a clear list of the changes applied.
Open toolJSON Diff Checker
Compare two JSON values and list additions, removals, type changes, and value changes by path.
Open toolJSON Tree Viewer
Explore nested JSON, search keys and values, and copy exact paths or selected values.
Open toolJSON Schema Generator
Infer a JSON Schema from sample data with nested properties, required fields, arrays, and detected types.
Open toolJSON Schema Validator
Validate JSON against a schema and receive path based errors for required fields, types, properties, and array items.
Open toolJSONPath Tester
Run JSONPath queries, inspect matching values, and copy exact paths from structured JSON.
Open toolAPI Response Inspector
Analyze JSON API responses for structure, nulls, repeated records, size, paths, and potential sensitive fields.
Open toolJSON to CSV Converter
Convert arrays of JSON records into CSV with nested object flattening, delimiter options, preview, and download.
Open toolCSV to JSON Converter
Convert CSV rows into JSON records with delimiter detection, header control, type inference, preview, and download.
Open toolJSON to YAML Converter
Convert valid JSON into readable YAML with configurable indentation and downloadable output.
Open toolYAML to JSON Converter
Parse YAML and convert it into formatted JSON with validation, copy, and download controls.
Open toolJSON to TypeScript Generator
Generate TypeScript interfaces from JSON with nested types, arrays, optional fields, and configurable naming.
Open toolJWT Decoder
Decode JWT headers and payloads locally without sending tokens to a server.
Open toolJWT Expiry Checker
Inspect JWT time claims and calculate expiration status.
Open toolOpenAPI Validator
Validate OpenAPI JSON or YAML structure and inspect endpoints.
Open toolXML Formatter
Format and validate XML documents with readable indentation.
Open toolJSON to SQL Generator
Generate SQL table and INSERT statements from JSON records.
Open toolSQL Result to JSON
Convert SQL-style tabular or INSERT data into JSON records.
Open toolRandom Test Data Generator
Create up to 1,000 coherent synthetic records for development and testing.
Open toolConnected JSON workflows
Move from raw JSON to a finished result
Keep the current data in your browser while moving between formatting, repair, queries, schema validation, comparison, conversion, and code generation.
Debug an API response
- 1Format and validate the response
- 2Inspect keys, types, depth, and sensitive fields
- 3Run JSONPath queries
- 4Compare against another response
Prepare typed application data
- 1Repair malformed JSON
- 2Generate a JSON Schema
- 3Validate the payload
- 4Generate TypeScript types
Move data into a spreadsheet
- 1Inspect the record array
- 2Flatten nested values
- 3Convert JSON to CSV
- 4Download the converted file
Developer tools
Inspect API responses in one workspace
Analyze structure, value types, nesting, record arrays, inferred schema, and potential sensitive fields without uploading the response.
Open API Response InspectorJSON error reference
Resolve real JSON parser errors
Use focused references for common parser messages, then open the broken example directly in the repair workspace.
JSON error referenceJSON format reference
JSON format reference
JSON is a text format built from objects, arrays, strings, numbers, booleans, and null values. Strict JSON requires double quoted property names and does not allow comments, trailing commas, undefined, NaN, or Infinity.
Objects
{"name":"Bacodev"}Key and value pairs wrapped in bracesArrays
["format","validate"]Ordered values wrapped in bracketsStrings
"private"Text wrapped in double quotesNumbers
42.5Integer or decimal values without quotesBooleans
trueThe lowercase values true or falseNull
nullAn explicit empty valueJSON learning guides
JSON learning guides
How to format and validate JSON correctly
A practical guide to indentation, syntax validation, key order, parser errors, and safe output review.
Learn moreCommon JSON syntax errors and how to fix them
Valid JSON requires double quoted property names and strings, balanced brackets, supported values, correct escaping, and no trailing commas or comments.
Learn moreHow to repair invalid JSON without hiding data changes
A safe repair process for comments, trailing commas, unquoted keys, single quotes, invalid values, and incomplete structures.
Learn moreHow to convert nested JSON to CSV
Choose one array of similar records, flatten object paths into stable column names, handle nested arrays deliberately, and inspect the output before importing it into a spreadsheet or database.
Learn moreHow to validate JSON with JSON Schema
A practical introduction to generating a starting schema, strengthening constraints, and interpreting validation errors.
Learn moreGuides and solutions
Related solutions and tools
Repair malformed JSON without hiding the changes
A reliable repair process should explain what changed instead of silently rewriting the input.
Open solutionFormat a large JSON file without losing control
Large JSON needs more than a basic pretty-print button. Use controlled rendering, collapsed views, search, and size-aware processing.
Open solutionValidate JSON against a schema before it ships
A schema catches shape problems that a plain formatter cannot see, such as a missing required field or a wrong data type.
Open solutionConvert nested JSON to a useful CSV table
Nested objects and arrays need explicit flattening rules before they can fit into rows and columns.
Open solutionRelated categories
