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JSON Health Score & Anomaly Analyzer

Calculate an instant 0–100 quality score across validity, structural depth, type consistency, and credential security — with one-click safe fixes.

How It Works

Fast, secure, browser-native JSON processing in 3 simple steps

1

Paste JSON Data

Paste your JSON payload into the editor or upload an existing file.

2

Live Health Scoring

Watch the real-time 0–100 health badge update with detailed metric breakdowns.

3

Apply Safe Auto-Fix

Click "Auto-Fix" to resolve anomalies, remove nulls, and clean wire payloads.

Move Beyond Syntax Validity to Complete Structural Health

A JSON document can be 100% syntactically valid according to RFC 8259 while remaining structurally flawed and dangerous for production applications. Silent schema drifts, sporadic null properties, arrays with mixed data types (numbers mixed with strings), and accidental API token leaks are responsible for thousands of production outages every year.

JSONForge's signature JSON Health Analyzer calculates a real-time, multi-dimensional Health Score from 0 to 100. It scans your document's Abstract Syntax Tree for deep nesting traps, type inconsistencies, dead payload bloat, duplicate keys, and exposed credentials—providing one-click Safe Auto-Fixes to restore data integrity.

📊 5-Dimension Metric

Scores validity, nesting depth, type consistency, null bloat, and credential privacy into an authoritative 0–100 quality index.

✨ Safe Auto-Fix Engine

One-click resolution for non-destructive issues: converts numeric strings, prunes empty containers, and sorts keys alphabetically.

🔒 Zero Cloud Exposure

All health checks, regex scanning, and auto-fixes execute locally in your web browser with 0 bytes transmitted over the network.

Frequently Asked Questions

Everything you need to know about JSON validation, formatting, and privacy

The Health Score evaluates five weighted dimensions: 1) Syntax Validity (25% weight, checking RFC 8259 compliance and duplicate keys), 2) Structural Nesting (20% weight, penalizing excessive depth > 8 levels), 3) Array Type Consistency (20% weight, flagging mixed types in lists), 4) Quality & Null Ratio (20% weight, measuring dead containers and null bloat), and 5) Privacy Security (15% weight, checking for exposed plain-text tokens or PII).

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