🛡️ Safe Web Utils
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JSON Diff Tool Online

Stop debugging false positives. This tool performs a Semantic Comparison rather than a simple text diff. It allows you to Ignore unstable keys (like autogenerated IDs, timestamps, or random hashes) and normalize unordered lists. Perfect for Regression Testing, Migration Audits, and verifying Golden Master payloads where data order is non-deterministic.

Secure Client-Side

We'll filter these out before comparing.

Original (Expected)
Modified (Actual)

Stop debugging "Fake" Errors

Standard diff tools mark files as different if the lines don't match exactly. But in API testing, Standard diff tools mark files as different if the lines don't match exactly. But in API testing, order doesn't always matter and IDs/Timestamps change.

❌ Standard Diff

Shows 50 errors because id changed from 101 to 102.

✅ Smart Diff

Shows "Match" because we ignored id.

Why simple "Diff Tools" fail you

Feature Standard Text Diff JSON Diff Tool (Smart)
JSON Structure Ignored (Treats as plain text) Understood (Parses objects)
Array Order Strict (A,B != B,A) Flexible (Smart Sorts arrays)
Timestamps/IDs Flagged as Error Ignored (Configurable rules)
Whitespace Often causes noise Auto-formatted

How to Compare API Responses in 3 Steps

📋

1. Paste Data

Copy your "Expected" JSON (e.g. from documentation) and "Actual" JSON (e.g. from Postman).

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2. Configure

Enter keys to ignore (like time, uuid) or check "Ignore Order" for list comparison.

3. Verify

Click "Compare". If it says Match, your API is working perfectly despite dynamic data.

How the "Smart Engine" Works

Unlike text comparators (like `git diff`) which compare line-by-line, this tool understands JSON Semantics. It runs a 3-step normalization pipeline before comparing:

1️⃣ Filter

Recursive Strip

We walk the entire JSON tree and remove any key in your "Ignore List" (e.g., id, timestamp), even if nested 10 levels deep.

2️⃣ Canonize

Semantic Sort

If you check "Ignore Order", we detect arrays of objects and sort them by a stable hash (like id or content), converting [B, A] to [A, B].

3️⃣ Diff

Deep Equality

Finally, we run a deep object comparison. Since noise (time/order) is removed, any remaining difference is a REAL bug.

Killer Use Cases

🔄 API Migrations

Moving from Python to Go? Or REST to GraphQL?

"The response should be identical except for `server_time`."
-> Use this tool to prove parity.

🧪 Regression Testing

Compare prod output vs staging.

"I refactored the User Class. Did I break the JSON structure?"
-> Check Staging vs Prod JSON here.

Pro Tip: Why Hashing Fails

Ever tried to generate a checksum (MD5/SHA) of a JSON object? It's a nightmare because {"a":1, "b":2} produces a different hash than {"b":2, "a":1}.

🔑 Deterministic Canonicalization

This tool essentially performs "Canonicalization" (RFC 8785). It standardizes the structure so you can compare semantics, not just bytes. This is exactly how Redis Caching keys and JWT Signatures work.

hash('{"a":1, "b":2}')
= 0x9a3f...
hash('{"b":2, "a":1}')
= 0x1b7c... (Mismatch!)

Frequently Asked Questions

Is my JSON data secure?
Yes, absolutely. This tool runs 100% in your browser using JavaScript. Your JSON data is never sent to any server, analyzed, or stored. It works even if you disconnect from the internet.
Can I compare large JSON files?
Yes. Since the processing happens on your device, the limit depends on your computer's RAM. Files up to 5-10MB are usually processed instantly. For extremely large datasets (100MB+), we recommend a command-line tool, but for typical API responses, this is perfect.
Does it support nested arrays?
Yes. The recursive cleaning algorithm walks through every level of your JSON object. If you have arrays inside objects inside arrays, we still sort and normalize them correctly.

Need to clean the data first?

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