Turn raw XML into readable Dart classes with field types, nested models, and list handling that fit Flutter projects. Run conversion in your browser, then copy or download.
No upload flow
Generated with nullable fields and simple parsing helpers.
Most broken model files start with one wrong assumption.
Teams assume one sample XML payload describes every response shape they will receive.
That is rarely true.
If one partner sends optional tags tomorrow, your generated class breaks, and your parser crashes in runtime logs that look random.
This converter is built for a safer default: nullable fields, direct tag lookups, and output that you edit after generation instead of trusting blindly.
Many feeds place status, region, tax mode, and version numbers in attributes, not in child nodes. If your code generator ignores attributes, production logic moves into string parsing hacks later.
This page includes attributes as model fields with an attr prefix so the source remains visible. You can rename those fields in seconds after generation.
If your source contains repeated tags, the output marks them as List<Type> so your Flutter list view does not need manual type repair.
A support engineering team receives order updates from a vendor feed every two minutes.
Payload size changes daily, so they regenerate model classes from a fresh sample before release candidates.
A mobile squad migrating from SOAP endpoints uses this tool to bootstrap Dart classes, then wires those classes into repository tests.
A QA lead pastes malformed payload samples from bug reports and confirms whether parser changes still produce stable object fields.
The parser reads your XML string in the browser and validates syntax first. If parsing fails, the page stops and returns a direct error before any code generation starts.
Next, the generator inspects each node, tracks attributes, checks repeated tag names, infers primitive type candidates, and assigns a Dart field signature. Nested tags become nested classes. Repeated siblings become list fields. Unknown values stay String? to prevent false confidence from aggressive type guessing.
Finally, the builder prints classes from inner nodes upward, then writes the root model last. Output includes fromXmlString and fromElement factories so you can parse complete responses or subtrees.
If your XML includes namespace prefixes, sanitize class names in generated code before merging. Prefix strings such as ns2:Item are valid in XML, not in Dart type names.
Do not treat generated code as final domain modeling.
Use generated models as a starting point, then enforce naming, immutability policy, and JSON interoperability in your app layer.
If your team receives multiple schema versions, run the output beside XML Diff first and compare shape deltas before publishing model updates.
If your payload is huge and unreadable, pass through XML Pretty Print or XML Validator before conversion so parse errors stay explicit.
When you need JSON-first schema output for tooling, the better choice is XML to JSON Schema or XML to JSON.
Manual mapping gives full naming control and tighter null handling. Cost is speed.
Auto generation gives fast scaffolding and broad shape coverage. Cost is cleanup work after generation.
In most teams, the pragmatic route is generate first, review second, freeze model contracts in tests third. That keeps delivery speed without blind trust in generated code.
Reviewed March 2026 by the Toolexe editorial and tooling team.
Recent update: mobile action row now keeps copy and download controls visible without covering textareas, and generator output now emits stable class ordering.
