JSON to Properties

Java, Spring, Android, Maven and a long tail of tooling still configure themselves through plain .properties files — but modern configs live in JSON, YAML and API responses. Bridging the two by hand means flattening nested objects, inventing array keys and remembering which characters need escaping. It is exactly the kind of work a converter should do.

Convert JSON to Properties flattens any JSON document into a valid .properties file with one click. Pick the separator and array style, and the tool produces dotted keys, escaped special characters and Unicode as \uXXXX sequences — ready to paste into application.properties or download directly.

• Dotted-key flattening: Nested objects become settings.theme.dark style keys.
• Three array styles: Indexed items.0.name, bracket items[0].name, or joined comma lists.
• Complete escaping: Spaces, =, :, #, !, backslashes and control characters handled automatically.
• Unicode output: Non-ASCII text is written as \uXXXX escapes for maximum compatibility.
• Typed literals: Booleans and numbers keep their literal form.
• Live preview: The properties output updates as you type.
• Copy and download: Export the result as a .properties file instantly.
• Private: All processing happens in your browser; nothing is uploaded.

1. Paste your JSON into the input pane.
2. Choose a separator — dot for Spring-style keys, underscore for a compact alternative.
3. Pick the array style that matches your consumer.
4. Review the live output — escaped characters and dotted keys are applied automatically.
5. Copy or download the .properties file.

Example 1 — Spring Boot config. A developer converts a JSON config into application.properties: nested objects become dotted keys, arrays become indexed keys, and Spring Boot binds them back into @ConfigurationProperties structures unchanged.

Example 2 — Legacy integration. A migration team moves settings from a JSON document into a legacy Java client that only reads properties. The converter produces keys in exactly the dotted path form the old code expects.

Example 3 — Android resources. A mobile team converts a JSON of feature flags into properties values consumed by an in-house config loader, with booleans and numbers preserved as typed literals.

Example 4 — Documentation. An architect publishes a sample JSON as a properties snippet in wiki pages, using the join style so simple value lists stay on one readable line.

• Standard-compliant output: Escaping follows the classic properties format, so parsers read it back correctly.
• Framework-friendly: Dotted keys and indexed arrays bind straight into Spring and similar tooling.
• Lossless values: Types, Unicode and special characters survive the round trip.
• Zero data movement: The document is converted locally and never uploaded.
• Instant results: Live output updates with every keystroke.