JSON to Rust

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All tools › Data as code

JSON to Rust

Structures with serialisation attributes and the renames a Rust name needs.

It runs entirely in this browser tab: the documents you paste are never uploaded, and the tool makes no network request while it works. Open your browser's network panel and try it — nothing leaves the page.

Settings

Name of the top type
Nested types are named after it and the path to them.
Recognise dates
Only the unambiguous form, `2026-01-31`: `03/04` is two different days.
Mark optional fields
A field missing from any one example is not required.
Serialisation attributes
`serde::Serialize` and `serde::Deserialize`, and the renames a key needs.
Borrowed strings
`&str` instead of `String`, with the lifetime the struct then needs.

How to use it

  1. Paste your text into the box above, or open a file.
  2. Adjust the settings beside it until the result is what you wanted.
  3. Copy the result, or save it as a file. The result updates as you type.

Questions

Is what I paste uploaded anywhere?
No. The whole tool is carried as WebAssembly and runs on your own device. That is the point of the group: the files these tools are for are exactly the ones you would not paste into somebody else's server.
How big a file can it take?
About a megabyte, and it says so rather than truncating quietly. Past that you are handing it a database rather than a document, and the input here is a text area — the editing view is capped at forty thousand characters and says so, though the tool still reads all of what you gave it.
Why does it say it guessed?
Because it did. Which format a document is, which delimiter a table uses and whether the first row is a header are all decided by looking at the text. Each guess is right almost always and each is printed on the result, because a converter that guessed silently and got it wrong would eat a file.
Does it change my numbers?
No. A number keeps the text it was written as, all the way through: `1.0` stays `1.0` and a thirty-digit identifier stays thirty digits. Nothing here is ever a floating-point value, which is why a sorted document differs from the original only where you asked it to.

Other tools for data as code

JSON to Go
Structures with serialisation tags and exported field names.

Data to SQL schema
A CREATE TABLE worked out from the values, with the key candidates named.

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