XML to JSON

How I Finally Stopped Fighting XML Recipe Formats and Just Converted the Dang Things

I run a small recipe blog, and about two years ago I inherited a monster: a folder of roughly 400 recipe files exported from an old CMS, every single one in XML format. The new platform I was building expected JSON. Between those two facts lay about three solid weeks of my life that I was very much not willing to sacrifice to writing manual conversion scripts.

A friend pointed me toward an online XML to JSON converter. I was skeptical. These kinds of browser-based tools usually feel like they were built in 2009 and never touched again. But I was desperate enough to try anything, so I pasted in one of my recipe XMLs and clicked Convert.

The result came back in under a second, perfectly structured. I remember just staring at it for a moment.

What a Typical Recipe XML Actually Looks Like

If you've never seen raw recipe XML, it's verbose in a way that feels almost personal. Here's a trimmed-down version of what my files looked like:

<recipe>
  <title>Butternut Squash Soup</title>
  <servings>4</servings>
  <prepTime>15</prepTime>
  <cookTime>35</cookTime>
  <ingredients>
    <ingredient>1 medium butternut squash, cubed</ingredient>
    <ingredient>1 yellow onion, diced</ingredient>
    <ingredient>3 cloves garlic</ingredient>
  </ingredients>
  <steps>
    <step order="1">Roast squash at 400°F for 25 minutes.</step>
    <step order="2">Sauté onion until translucent.</step>
  </steps>
</recipe>

The tool converted that into clean, readable JSON immediately — attributes like order="1" became "@order": "1" in the output, which is the standard way most converters handle XML attributes. That mattered a lot for my step-ordering logic downstream.

The Attribute Problem (And Why It Matters in Cooking Data)

Here's something nobody warns you about when you first start converting recipe XML: XML loves attributes. Ingredients might have a unit attribute, steps have an order attribute, nutrition facts have a per attribute (per serving, per 100g, etc.). When you convert naively, these can get swallowed or misrepresented.

The online XML to JSON tool I settled on handled this predictably — attributes consistently showed up prefixed with @, which my JavaScript could then parse cleanly. It became a pattern I could rely on across all 400 files. Consistency mattered more to me at that scale than any particular convention.

I tested a few converters specifically on a recipe that had nested nutrition data with multiple attributes on the same element:

<nutrient name="sodium" amount="420" unit="mg" dailyValue="18"/>

Some tools collapsed this into a string. The one I stuck with preserved it as a proper JSON object with all three attributes intact. That's not a minor detail — if you're building anything that displays nutrition information, losing the unit or dailyValue fields quietly breaks your UI in ways that take forever to track down.

Batch Thinking vs. One-at-a-Time Pasting

Full honesty: for my 400-file project, I didn't paste them one by one. I used the tool interactively to figure out exactly how it handled edge cases, then wrote a small Node.js script that replicated the same transformation logic using a library called xml2js — which uses nearly identical conventions to what the online tool produced. The online tool was essentially my specification document.

That's actually one of the most underrated uses of an online XML to JSON converter in a kitchen/food-data context: you use it to understand the transformation before you automate it. Paste five representative recipes, look at the output structure, then write your pipeline around what you see.

For smaller, one-off conversions — like when a vendor sends you a single product XML with their spice catalog, or when you're pulling a recipe schema from a legacy database export — the online tool is exactly right. No setup, no dependencies, no context-switching into a terminal.

Real-World Gotchas I Hit With Food Data

A few things tripped me up specifically because of how recipe data is structured:

• Single-item lists: If a recipe had only one ingredient, some XML schemas represented it as a single <ingredient> element rather than a list. The JSON converter would output a plain string instead of an array with one item. My frontend code expected an array, so this caused silent failures on simple recipes. I had to add a normalization step: if ingredients.ingredient is a string, wrap it in an array.
• Unicode in ingredient names: Ingredients like "jalapeño" or "crème fraîche" occasionally came through with encoding issues depending on how the original XML declared its encoding. Checking the XML header for encoding="UTF-8" before pasting usually solved it.
• Empty elements: A recipe with no listed cookTime would sometimes export as <cookTime/> — a self-closing empty element. The converter turned this into null, which was actually correct and useful for my display logic.
• Whitespace in step text: Multi-line step descriptions often carried extra whitespace from the XML formatting. The JSON output preserved it, which meant I needed to .trim() step text before displaying it.

A Practical How-To for Kitchen and Recipe Use Cases

1. Open your XML file in any text editor and copy the full contents. Don't try to paste just part of a recipe — the converter needs valid, complete XML to parse correctly.
2. Paste into the input panel of the converter. Most tools have a left/right or top/bottom split — XML on one side, JSON on the other.
3. Check the attribute handling before you trust the output. Paste a recipe element that has attributes (like a <step order="1">) and confirm those attributes appear in the JSON rather than disappearing.
4. Look at any list elements specifically. Paste a recipe with three ingredients, then one with a single ingredient. Observe whether the converter produces an array in both cases or just in the multi-item case.
5. Copy the output and drop it into a JSON validator (JSONLint works) to confirm it's well-formed before using it anywhere downstream.

When the Tool Genuinely Saves the Day

Last month, a local restaurant asked me to help them get their printed recipe binder into a digital format. Someone had already digitized everything into an XML export from some ancient desktop software — I don't even know what application it was, the file extension gave no clues. But the XML itself was readable, and the online converter handled it without complaint.

Within about twenty minutes I had all their base recipes as JSON objects, which I then imported into a simple Airtable base so their kitchen manager could actually edit things. The restaurant staff would never have survived setting up a local development environment to run a conversion script. The online tool made the whole thing accessible to someone who just needed a file transformed, right now, in a browser.

That's the honest case for tools like this: not that they replace engineering, but that they remove the engineering requirement entirely for tasks that don't need it. Converting a holiday cookie recipe archive or a spice inventory export doesn't need a pipeline. It needs a paste box and a button.

One Thing I Wish the Tool Did Better

Batch file upload. Every XML-to-JSON tool I've tried is single-file. For the kind of recipe archive work I was doing, even a simple drag-and-drop that processes ten files at once and zips the JSON output would save real time. If you're reading this and you build one of these tools — that feature would make me a loyal user immediately.

Until then, for anything over about fifteen files, drop to a script. For everything under that, the online converter is the right call: fast, zero setup, and surprisingly good at handling the weird edge cases that cooking data tends to throw at you.