Generate Objective-C Foundation models from XML samples when your legacy iOS or macOS app still parses feeds, SOAP payloads, or document-style XML responses.
How to use
Paste a representative XML document that matches the feed or document structure your Cocoa code still parses.
Review the generated `NSObject` subclasses, Foundation property types, and nested child models inferred from repeated XML nodes.
Copy the output into your Objective-C project and add parser glue, naming adjustments, or memory-management refinements where production code needs them.
Benefits
Produces Foundation-friendly transport models for older Apple-platform codebases that still consume XML.
Keeps nested XML elements explicit instead of leaving feed parsing scattered across ad hoc dictionaries.
Gives legacy Cocoa apps a faster starting point before custom parser adapters or response mappers are added.
Best use cases
Legacy iOS apps that still ingest XML feeds, SOAP responses, or document-style partner payloads.
macOS utilities that need Foundation model scaffolding before wiring XML parser delegates or adapters.
Teams documenting older XML contracts while modernizing Objective-C networking or import flows.
Objective-C XML tips
Review property nullability, collection mutability, and naming conventions before dropping generated models into older Cocoa code.
Keep generated transport classes near the XML parsing layer so the rest of the app can evolve independently.
Choose JSON to Objective-C only when the source payload is JSON rather than feed-like XML documents.
Why use XML to Objective-C instead of JSON to Objective-C?
Choose XML to Objective-C when the source contract is XML and the generated models need to reflect nested elements, repeated nodes, and document-style structure instead of JSON arrays and objects.
Can this route scaffold nested XML elements for Foundation models?
Yes. Nested XML elements become child Objective-C model classes, and repeated nodes are inferred into collection-style Foundation properties based on the parsed XML sample.