JSON Formatter for API Requests and Responses
Format, validate, and inspect API JSON with tree view editing so payloads become readable before you diff, resend, or document them.
This guide is for request and response debugging, especially when logs contain minified JSON, nested errors, or pasted Python dict syntax.
Use this when
An API payload is technically valid but too dense to read, compare, or edit safely.
What to inspect first
Format the payload, expand the tree view, and scan top-level keys before you start editing values.
Common pitfall
Logs and notes often contain Python dict syntax. The live tool recovers that format so you can normalize it quickly.
Format a minified success response
Pretty-print the payload first so changes in nested keys become visible.
{"status":"ok","requestId":"req_123","data":{"id":42,"name":"launch"}}
Inspect a nested error payload
Tree view makes it easier to find code, message, and details without scrolling through one dense line.
{"error":{"code":"AUTH_EXPIRED","message":"Token expired","details":{"exp":1712732400}}}
Recover Python dict syntax
Paste the payload exactly as it appeared in logs, then normalize it before sharing or replaying it.
{'status': 'error', 'details': {'scope': 'read:users'}}
Clean a request body before resend
Use the formatter to verify the request body before it goes back into your API client.
{"name":"launch","metadata":{"env":"staging","featureFlags":["beta"]}}
Tree view is faster than raw text when you need to inspect nesting, compare branches, or edit one field without losing context.
- Once the payload is readable, use the Diff Checker to compare old and new responses.
Many incident notes and shell logs include Python dict formatting instead of strict JSON. The live tool recovers that structure so you can normalize it instead of rewriting it by hand.
- Move back into JWT decoding when the payload itself is a token claim set rather than a generic API body.