Visual JSON Diff Tool 🔍

Compare two JSON objects and visualize differences (additions, deletions, and changes) in a tree view.

Added Deleted Modified

Visualize JSON Diffs Instantly 🔍

Compare two JSON objects and pinpoint additions, deletions, and modifications in a clean, interactive tree.

💡 Why use this tool?

Stop hunting for nested property changes in walls of minified text. Whether you’re debugging API responses or auditing config files, this tool maps the differences for you. Paste your "before" and "after" data to see exactly what changed—no manual scanning required.

📘 How it works

  • Spot changes fast: We use industry-standard highlights—Green for additions, Red for deletions, and Yellow for updates.
  • Auto-format minified code: Don't worry about messy input. The tool automatically prettifies your JSON for readability before running the diff.
  • Navigate deep trees: Drill down into nested objects. We highlight only the paths containing changes to save you time.
  • Validate syntax: If your JSON is malformed, we’ll catch the error immediately so you can fix it before comparing.

🧐 Frequently Asked Questions

  • How does it handle arrays? The tool intelligently tracks array elements. If an element moves to a different index or is replaced, the diff will reflect that structural shift.
  • Does my data leave my machine? No. All comparison logic runs locally in your browser. Your data is never sent to a server.
  • What if the keys are in a different order? JSON objects are unordered sets. This tool focuses on structural equality rather than a simple line-by-line text comparison, so reordered keys won't trigger a false positive.

📚 Under the Hood

The concept of "diffing" dates back to 1970s Unix, originally designed for flat text files. However, comparing structured data like JSON requires a more sophisticated approach.

Modern JSON diffing treats data as a tree rather than a sequence of lines. This allows you to identify value changes even if the entire file was reformatted or reordered—a lifesaver when working with NoSQL databases or REST APIs.