DEVELOPER WORKBENCH

JSON Formatter

From API debugging to product data organization: validate, locate, compare, and export. Exact numerical strings and precision are fully preserved.

◈ Local Processing · Inputs Are Not Uploaded

Raw JSON

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Formatted result / Comparison JSON

Result retains original numbers

Formatted results are editable; disable live formatting to paste comparison JSON here.

UTF-8 JSON files can be dragged in. Single input limit: 1 MiB, up to 100,000 values, 128 nested levels.

Objects, Arrays, Strings, and Numbers can all serve as valid JSON root values

Enter valid JSON to inspect fields, types, and paths.

Click a field to select its path; positioning will select the original text on the left. In paths, ~0 represents ~ and ~1 represents /.

Export to CSV and continue analysis.

Supports objects or arrays of objects. All cells are quoted, compatible with commas and line breaks; UTF-8 BOM helps Excel recognize Chinese characters.

Protection prepends a single quote to text starting with =, +, -, @, or control characters. To preserve large integers and leading zeros, set corresponding columns to text during Excel import; CSV itself does not store column types.

Inputs are not saved by default; when enabled, left and right content is saved locally in your browser and expires after 7 days.

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Turn API Responses into Inspectable Data

  1. Paste JSON or import a UTF-8 file, and check strict validation status first. Syntax errors or duplicate keys display precise row and column locations for one-click navigation.
  2. Format, minify, or recursively sort object keys as needed. Operations generate on the right, keeping original text on the left; "Replace Original" can be undone.
  3. Use structure tree to inspect fields, copy JSON Pointer or field values. Disable real-time formatting during comparison, then paste another API response on the right.
  4. Confirm data before exporting JSON; product tables can be exported to CSV for further spreadsheet analysis.

Why check large integers and duplicate keys?

Order IDs, Java longs, precise decimals, and large exponential values may be altered by standard JavaScript number parsing. This workbench uses lossless-json to preserve original numeric formats—for instance, 9123372036854000123, 2.370, and 2.3e500 remain intact after processing. Tree views, key sorting, diffing, and exports all utilize this high-precision data protection.

Duplicate keys in an object may be silently overwritten by standard parsers. Duplicate keys within the same object are flagged here as validation errors, locating the second occurrence; identical keys across different objects are normal. JSON object key sorting follows Unicode code unit order; numerical keys are sorted as text strings.

Strict JSON, JSON5, and JavaScript Objects

This tool accepts strict RFC 8259 JSON. Comments, single quotes, unquoted keys, trailing commas, NaN, Infinity, and hexadecimal numbers are not strict JSON. JSON5 supports some extensions, but they are not automatically fixed or converted here. This tool does not use eval and does not execute inputs.

Frequently asked questions

Why are 1 and 1.0 marked as different?

Diff comparison preserves original number formatting to highlight precision and serialization changes. Object key order is ignored; arrays are compared strictly by index without speculative object matching.

Is the path JSONPath?

Standard JSON Pointer is used here: an empty path represents the root value, and /products/0/sku represents the sku of the first object in the products array. Slash / in keys is written as ~1, and ~ as ~0; JSONPath wildcards and filter expressions are not supported.

Will flattening CSV lose nested data?

When unflattened, nested objects and arrays become JSON text cells. When flattened, objects and arrays expand by JSON Pointer to prevent key name confusion from dot notation. Empty objects and arrays remain saved as {} and []. A single export supports up to 20,000 rows, 1,000 columns, 500,000 cells, and 4 MiB output. CSV is suitable for analysis, not lossless bi-directional storage for JSON.

Why didn't large files automatically display the entire structure?

To keep the browser responsive, a single editing input is limited to 1 MiB, 100,000 values, and 128 nesting levels. The structure tree expands on demand, mounting up to 3,000 fields; diffs display up to 500 items. A single field path can be up to 8,192 characters, and total path index length can be up to 16 MiB. Exceeding these limits displays an explicit prompt rather than a complete success result.

Are drafts saved to the server?

JSON input, conversion, and drafts are processed entirely in your browser. Draft saving is off by default; when manually enabled, data is stored in localStorage. Other users on the same device may access it, so please avoid storing secret keys or private customer data. Ads are served based on site-wide configurations.

Standards and implementation references

RFC 8259 · JSON · RFC 6901 · JSON Pointer · lossless-json · CodeMirror

JSON formatter practical guide and common questions

What does a JSON formatter do?

JSON formatting turns structured text into readable indentation, a tree and validation feedback to help locate nested data.

Who is this for, and when is it useful?

Developers and operators inspecting API responses, configuration and structured data.

How do I use this JSON formatter?

Paste JSON, validate syntax and duplicate keys, format or inspect its tree, and verify large numbers before export.

How should I interpret the results?

Resolve syntax and duplicate keys before comparing values. Preserve large integers, strings and nulls; tidy formatting does not establish business-data correctness.

Where is the work performed, and which services receive data?

Validation, tree inspection, formatting and comparison run in your browser. These operations do not submit the pasted API response to our backend.