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XML to Go

Generate Go classes/structs automatically from an XML document.

100% Client-Side Local Execution
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Input Data
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Transformed Result
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What is XML to Go?

This free online tool turns a sample XML document into a ready-to-use struct with json tags for Go, so you can use this xml to go struct generator tool to go straight from raw XML to a typed struct without writing the boilerplate yourself. It is built around Go's actual idiom — a Go struct — rather than a generic one-size-fits-all class, and pairs naturally with encoding/xml for real-world (de)serialization. Use it for convert xml to go struct or any time you need xml to go struct online, whether you're scaffolding a new Go project or mapping an existing API response.

Technical Execution

Paste or upload a sample XML document and the tool walks its structure field by field, inferring a concrete Go type for each value — mapping basic XML types to `string`, `int`/`float64`, and `bool` as appropriate. For nested data, it maps nested XML elements to nested structs with `xml:"elementName"` tags and repeated elements to `[]T` slices, representing attributes with `xml:"attrName,attr"` tags per the `encoding/xml` conventions. On the naming side, it converts snake_case JSON keys to Go's exported PascalCase field names and attaches a `json:"original_key"` struct tag so `encoding/json` still reads and writes the original key. For optional data, fields seen as `null`, or missing in some samples, are typed as pointer types (`*string`, `*int`) so the zero value doesn't get confused with an explicitly absent field, each tagged `,omitempty` where appropriate.

Zero Data Storage Guarantee

Everything runs client-side in your browser: the sample XML you paste in — which may contain real field names, endpoint shapes, or structure from a private API or project — is parsed and converted entirely on your device and is never uploaded to any server. Nothing you enter is logged, stored, or transmitted anywhere, so you can safely paste a real payload from an internal or unreleased API to generate an accurate Go struct. Closing or refreshing the tab clears everything, since no copy of your data ever left your machine in the first place.

How to Use XML to Go (Step-by-Step Guide)

  1. Copy a representative sample of your XML (the more fields and nested objects it includes, the more complete the generated struct will be).
  2. Paste it into the input panel of the XML to Go tool, or click "Upload" to load it from a xml file.
  3. Review the auto-detected root name, and rename it if you want the generated Go struct to use a specific class or type name instead of the default.
  4. Click "Generate" to produce the Go struct, which appears instantly in the output panel with syntax highlighting.
  5. Click "Copy" to copy the generated code to your clipboard, or "Download" to save it as a `.go` file.
  6. Paste the result into your Go project and adjust field names or types if your data has edge cases the sample didn't cover.

Frequently Asked Questions (FAQ)

Q: How does this tool handle nested objects and arrays when converting XML to Go?
A: The tool maps nested XML elements to nested structs with `xml:"elementName"` tags and repeated elements to `[]T` slices, representing attributes with `xml:"attrName,attr"` tags per the `encoding/xml` conventions That keeps the generated code organized the way a Go developer would structure it by hand, instead of flattening everything into one giant struct.
Q: What happens to fields that are nullable or missing from some records?
A: For optional data, fields seen as `null`, or missing in some samples, are typed as pointer types (`*string`, `*int`) so the zero value doesn't get confused with an explicitly absent field, each tagged `,omitempty` where appropriate. If your sample only has one example object, fields that could be null in other records might not be detected as optional — paste a few varied samples (or an array of objects) for the most accurate result.
Q: Is this better than writing the struct by hand?
A: For anything beyond a trivial, flat payload, yes — hand-writing Go structs for a nested API response means getting every `json:` tag exactly right and remembering to use a pointer type for anything optional, and one missed tag silently breaks (de)serialization. The generator produces the same result in seconds and gives you a correct starting point to refine, rather than a blank page.
Q: Is my XML data safe to paste into this tool, especially if it's from a private API?
A: Yes. Everything runs client-side in your browser: the sample XML you paste in — which may contain real field names, endpoint shapes, or structure from a private API or project — is parsed and converted entirely on your device and is never uploaded to any server. Nothing you enter is logged, stored, or transmitted anywhere, so you can safely paste a real payload from an internal or unreleased API to generate an accurate Go struct. Closing or refreshing the tab clears everything, since no copy of your data ever left your machine in the first place.
Q: Can I use this as a xml to golang struct?
A: Yes — the tool is commonly used as a xml to golang struct, and works the same way whether you're converting a one-off response for a prototype or generating model code for a production project.
Q: Does the tool rename fields to match Go naming conventions?
A: Yes. It converts snake_case JSON keys to Go's exported PascalCase field names and attaches a `json:"original_key"` struct tag so `encoding/json` still reads and writes the original key, so the generated code reads naturally in Go while still deserializing the original XML correctly.
Q: What Go library does the generated code work with?
A: The output is written to pair cleanly with encoding/xml, the most common choice for Go developers handling XML, so you can drop it into an existing project without changing your serialization setup.
Q: Does this tool work for deeply nested or large XML samples?
A: Yes. The tool recurses through every level of nesting it finds and generates a complete set of linked struct definitions, not just the top level — though for very large samples, trimming it down to one representative record per array is usually enough to get an accurate result.
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