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JSON Formatter & Validator
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JSON Formatter & Validator User Guide
1. Overview
This is a clean and professional online JSON processing tool. Core capabilities include:
- Formatting (Pretty Print): turn minified or messy JSON into clear, indented structure.
- Compacting: remove extra spaces and line breaks to produce a single-line JSON string for transmission efficiency.
- Validation: check whether JSON syntax is valid and report errors.
- Repair: try to auto-fix common JSON issues such as missing quotes or trailing commas.
- Transform and Query: in Advanced Mode, transform data and run queries on JSON.
- View Switching: in Advanced Mode, switch between text view and table view for easier inspection.
- Schema Validation: in Advanced Mode, validate data shape with JSON Schema.
- Quick Actions: copy output with one click and download as file.
2. Quick Start
Input JSON
- Drag and drop a
.jsonfile into the tool area. - Or paste your JSON into the input editor.
Run Actions
- Click “Format” to output readable JSON.
- Click “Compact” to generate single-line JSON.
- The tool validates content and reports problems when syntax is invalid.
Use Output
- Click “Copy” to copy the result to clipboard.
- Click “Download” to save the result as a
.jsonfile.
3. Core Features
3.1 Basic Features
| Button | Description |
|---|---|
| Format / Pretty | Indents JSON by hierarchy (commonly 2 or 4 spaces) to improve readability and editing. |
| Compact | Removes line breaks and extra spaces to produce compact one-line JSON, useful for API payloads and storage optimization. |
| Copy | Copies the current processed output to the system clipboard. |
| Download | Exports the current result as a local .json file. |
| Auto Repair | Attempts to fix non-fatal issues (for example, unquoted property names or trailing commas). Severe structural errors still require manual fixes. |
3.2 Advanced Mode
After enabling “Advanced Mode”, extra capabilities appear:
- Text / Table Views:
- Text View: standard code-style JSON view.
- Table View: renders JSON data (especially object arrays) in rows and columns for quick reading.
- Transform: process data such as filtering array items, selecting fields, or modifying values.
- Query: extract target data from complex JSON structures with query syntax.
- Schema Validation: paste a JSON Schema and validate whether current data matches required structure, types, and constraints.
4. FAQ & Tips
Q1: When should I use “Auto Repair”?
Use it when JSON is invalid due to small formatting mistakes.
Example: {name: "John"} should be {"name": "John"}.
Q2: What are table view limitations?
Table view works best for arrays of objects with similar structure. For deeply nested or inconsistent JSON, switch back to text view.
Q3: How can I validate against API requirements?
- Get the JSON Schema from API documentation.
- Open Schema validation in Advanced Mode and paste the schema.
- Paste your JSON data and review validation results.
Q4: Will my data be leaked?
The tool is typically processed in the browser. For security, avoid pasting production secrets such as passwords, tokens, and private keys.
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