Outil de formatage JSON en ligne
Formatez, validez et embellissez vos données JSON avec coloration syntaxique et prompts d'erreur
💡 Astuce : Prend en charge l'analyse automatique des formats de chaînes JSON, y compris les chaînes JSON imbriquées. Par exemple :
- Format avec guillemets doubles :
"{\"name\":\"John\"}" - Format avec guillemets simples :
'{"name":"John"}' - Chaîne JSON imbriquée :
{"data":"{\"age\":30}"}sera automatiquement analysée comme{"data":{"age":30}}
Entrée JSON
Résultat formaté
Validation syntaxique
Vérification des erreurs de syntaxe JSON en temps réel avec informations d'erreur détaillées et prompts de localisation
Formatage et embellissement
Formatage automatique des données JSON avec taille d'indentation personnalisable pour une meilleure lisibilité
Export en un clic
Support de copie dans le presse-papiers et téléchargement de fichiers pour sauvegarder et partager facilement les résultats
JSON Formatting, Validation, and Debugging Guide
JSON problems usually appear during API debugging, log inspection, and configuration migration. FormaX parses input in the browser, produces a readable result, and keeps the original text when syntax errors need investigation.
Use it for API responses, webhook payloads, exported configuration, and escaped JSON strings from logs. Formatting does not upload the payload to a server.
Common Use Cases
- REST API debugging: inspect nested response structures and locate missing brackets or trailing commas.
- Log analysis: extract and format JSON fragments from ELK, CloudWatch, or local log files.
- Configuration editing: beautify package.json, tsconfig.json, Docker Compose, and similar config files.
- Webhook debugging: inspect callback payloads from Stripe, GitHub, Slack, and other platforms.
- Low-code exports: clean up exported JSON configuration for version diffing and code review.
Recommended Workflow
- Paste the raw JSON or response body and check whether the validity indicator is green.
- If the text comes from logs, remove timestamps, request IDs, and outer quotes before formatting.
- Choose 2 or 4 spaces according to your codebase or documentation style.
- Before copying, verify array sizes, field casing, and null values so debug data does not leak into configuration.
Debugging Example
{"user":{"id":42,"roles":["admin","editor"]},"enabled":true}Notes
- JSON requires double-quoted object keys; single quotes and trailing commas are not valid JSON.
- This tool validates syntax, not business rules such as required fields or enum values.
- For very large JSON files, inspect a representative slice first, then process the full file locally.
FAQ
Why does the API still fail after JSON formatting succeeds?
Formatting only proves the JSON syntax is valid. The API may still require specific types, enum values, required fields, or date formats.
Can I paste sensitive data?
Formatting runs locally in the browser, but avoid handling secrets, tokens, or production user data on shared machines or screens.
What is the difference between JSON and JavaScript object literals?
JSON is a strict data format with double-quoted keys and no comments, functions, or undefined. JavaScript object literals are more permissive and are not valid JSON as-is.
How do I find the exact location of a JSON syntax error?
The tool reports line and column numbers. Common causes include missing commas, trailing commas, unclosed brackets, and unescaped quotes inside strings.
Should I use 2-space or 4-space indentation?
Both are valid. Match your team convention. Frontend projects often use 2 spaces; some backend and Java ecosystems prefer 4.
What is the difference between minify and format?
Formatting adds indentation and line breaks for readability. Minifying removes whitespace to reduce size. Neither changes the data semantics.
Can I format JSON with Unicode or emoji?
Yes. JSON natively supports Unicode, and the tool preserves emoji and multilingual characters without corrupting encoding.
Is formatted JSON safe to use in production?
Valid syntax does not mean valid business data. Always verify field completeness, types, and business rules in a test environment before deploying.