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.
このオンライン JSON 比較ツールで 2 つの JSON を左右に並べて確認し、差分をハイライトして、バージョン管理や API テストのためにパッチやレポートをエクスポートできます。
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
ステップ 1 – 2 つの JSON を貼り付ける/インポートする
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
ステップ 2 – 比較オプションを設定する
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
ステップ 3 – diff の可視化を確認する
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
ステップ 4 – 結果をエクスポートする
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.
JSON 比較のクイックヒント
これらのツールを JSON 比較と組み合わせて、検証・整形・コード生成のワークフローを効率化できます。
このツールは構造的な diff を行い、ネストされたオブジェクトや配列の追加・削除・変更を検出します。
いいえ。すべてブラウザ内でローカルに処理され、サーバーへアップロードされることはありません。
空白、大小文字、順序を無視して、フォーマットの違いではなく重要な構造変更に集中できます。
はい。このオプションは文字列値内の空白を正規化します。文字列の外側の空白は JSON の解析時に既に無視されます。
はい。大文字/小文字を無視を有効にすると、キーと文字列値を大小文字を区別せずに比較します。
はい。順序を無視を有効にすると、オブジェクトのキーや配列要素の順序を重要視しない比較になり、順序が意味を持たない場合に便利です。
いずれかの無視オプションを有効にすると、ハイライトがルールと一致するよう正規化プレビューに切り替わるため読み取り専用になります。オプションをオフにして生の JSON を編集してください。
JSON Patch は、1 つの JSON ドキュメントを別の JSON に変換するための標準操作(add/remove/replace など)のリストです。
JSON Pointer パスに基づき、A → B のための信頼できる操作セットを計算します。配列ではインデックスずれを避けるため、保守的な置換を行う場合があります。
概要をコピーで簡単な要約をコピーし、レポートをエクスポートで Markdown レポートをダウンロード、または JSON Patch をエクスポートで変更をプログラム的に適用できます。