API response comparison
Compare JSON responses from v1 and v2 endpoints to confirm added fields, removed fields, and value changes during integration or regression testing.
Compare two JSON documents side by side, inspect added, removed, and changed fields, and export summaries, Markdown reports, or JSON Patch. Everything runs locally in your browser.
Compare JSON responses from v1 and v2 endpoints to confirm added fields, removed fields, and value changes during integration or regression testing.
Compare development, staging, and production JSON config files while using ignore-order rules to reduce irrelevant noise.
Check old and new JSON structures after migration work so renamed fields, default values, and split objects are easy to verify.
Compare two requests, logs, or state snapshots to understand exactly what changed before and after an issue appeared.
Import or paste two JSON files and inspect structural and field-level differences for configs, exports, fixtures, or API samples.
Utilisez cet outil de comparaison JSON en ligne pour afficher deux JSON côte à côte, mettre en évidence les différences et exporter des patches ou des rapports pour le versioning et les tests d’API.
Understand version drift before acting on it
In most workflows, you care about whether fields were added, removed, or changed in meaning, not whether two files differ by whitespace or order. That is why a structural JSON compare is more useful than plain text diff.
If you only need the high-level answer first, read the summary. If you need exact field-level context, stay in the diff view.
These examples mirror the most common JSON diff workflows in development, QA, and operations: API upgrades, environment config review, and data migration verification.
This is ideal when frontend and backend teams need to verify exactly what changed between response versions.
This kind of diff is especially useful when you need to verify added fields before updating tests or frontend models.
When object keys or array members are semantically unordered, selective ignore rules can reduce a lot of useless diff noise.
With ignore order enabled, the important change becomes obvious: retry changed, while the feature list did not meaningfully drift.
This works well when old structures are being split, renamed, or normalized into a new shape.
If the migration pipeline needs repeatable change application, exporting both the Markdown report and JSON Patch is often worthwhile.
Tutorial Step
Étape 1 – Collez ou importez les deux fichiers JSON
Before you look at the diff, be clear about what each side represents: old versus new, staging versus production, previous response versus current response. That mental model makes the later change review much easier.
Tutorial Step
Étape 2 – Configurez les options de comparaison
Ignore whitespace, case, and order are useful only when they match the meaning of your data. The fastest approach is to choose them intentionally instead of enabling every option by default.
Tutorial Step
Étape 3 – Analysez la visualisation du diff
A useful comparison is more than colored highlights. The best signal usually comes from combining three things: the field-level diff, the change counts in the status area, and the high-level summary you can copy or export.
Tutorial Step
Étape 4 – Exportez les résultats
This page does not just show differences. It can produce three useful outputs depending on what happens next: summary text for communication, Markdown reports for documentation, and JSON Patch for automation.
A more reliable compare workflow
Validate both payloads first so broken JSON does not pollute the diff.
Review the raw comparison once before enabling ignore rules so you understand what noise is present.
Use the diff highlights, counts, and summary together to judge the scale and type of change.
Use summary text for communication, Markdown reports for records, and JSON Patch for automation.
If one side still needs field-level inspection or editing, continue into the formatter or table editor after comparison.
The compare page is best used to answer not whether two files look different, but where the JSON structure and meaning actually changed.
Conseils rapides pour comparer du JSON
Combinez ces outils avec la comparaison JSON pour des workflows de validation, formatage et génération de code.
L’outil effectue un diff structurel pour détecter les ajouts, suppressions et modifications dans des objets et tableaux imbriqués.
Non. Tout est traité localement dans votre navigateur et n’est jamais envoyé à nos serveurs.
Vous pouvez ignorer les espaces, la casse et l’ordre afin de vous concentrer sur les changements structurels importants plutôt que sur les différences de formatage.
Oui. L’option normalise les espaces à l’intérieur des valeurs de type string. Les espaces en dehors des strings sont déjà ignorés lors du parsing JSON.
Oui. Lorsque l’option est activée, les clés et les valeurs string sont comparées sans tenir compte des majuscules/minuscules.
Oui. Ignorer l’ordre traite les clés d’objets et les éléments de tableaux comme non ordonnés, ce qui est utile lorsque l’ordre n’a pas de sens.
Quand une option d’ignorance est activée, la vue passe en aperçu normalisé pour que la surbrillance corresponde exactement aux règles. Désactivez les options pour rééditer le JSON brut.
JSON Patch est un standard d’opérations (add, remove, replace, etc.) permettant de transformer un document JSON en un autre.
Nous calculons un ensemble fiable d’opérations de A → B à partir des chemins JSON Pointer. Pour les tableaux, nous pouvons utiliser des remplacements prudents afin d’éviter les décalages d’index.
Utilisez Copier le résumé pour une vue rapide, Exporter le rapport pour télécharger un rapport Markdown, ou Exporter JSON Patch pour appliquer les changements par programme.