Online Convert Excel to JSON – Created with AI-Powered Tools
If you work in software, support, or data, you’ve lived this scenario:
A client or a non-technical teammate sends you a "quick list" of data. You’re hoping for a clean API endpoint or at least a JSON file. Instead, you see it—the dreaded .xlsx attachment.
Excel is great for humans, but it’s a nightmare for APIs. Usually, this means you have to:
Open the file (and wait for Excel to load).
Save it as a CSV.
Write a 10-line Python or Node script to parse it.
Or, use a sketchy online tool filled with pop-up ads.
I got tired of that loop, so I decided to build a better way.
The Solution: A Browser-First Converter
I built the
It’s simple, it’s fast, and most importantly, it stays in your browser. Your data doesn't get sent to a random server; the conversion happens locally on your machine.
Why we’re all stuck between Excel and JSON
Excel is the "Business" Language. Let’s be real: Finance, Marketing, and Sales teams aren't going to send you a JSON object. They live in rows and columns. It’s the universal language of reports and user lists.
JSON is the "Machine" Language.
On the flip side, our modern web—REST APIs, mobile apps, and frontend frameworks like React or Vue—don't know what to do with a spreadsheet cell. They need that sweet, curly-bracketed { "key": "value" } structure.
The Gap Bridging that gap is usually where we waste 15 minutes of our hour. Whether you are a Support Engineer trying to debug a client's data or a Frontend Developer trying to mock an API with real-world data, you just need a bridge.
How I built this (with a little help from AI)
I didn't spend weeks on this. I used ChatGPT 5.2 and Codex to help me scaffold the logic. By using AI-assisted development, I was able to focus on the User Experience—making sure the "Drag and Drop" felt right and the "Copy to Clipboard" button actually worked every time.
It’s part of a bigger project I’m working on at MTKits, where I’m trying to build a "Swiss Army Knife" for every developer’s browser.
Who is this for?
Backend Devs: When you need to seed a database with data from a spreadsheet.
Support Teams: When a customer sends a bug report in an Excel sheet and you need to parse the data to find the error.
QA Engineers: For creating test cases from requirement docs.
Give it a spin!
If you have an Excel file sitting in your "Downloads" folder right now that you need to turn into code, try it out here:
No sign-ups, no ads, just a tool that does exactly what it says on the tin.
What other "boring" conversion tasks do you do every day? Let me know in the comments—I'm looking for the next tool to build!
Why this version is better:
Empathy: It acknowledges the "pain" of the developer.
Less Definitions: It assumes the reader knows what Excel and JSON are but explains why the conflict exists.
Personal: It uses "I" and "Me," making you sound like a peer, not a manual.
Call to Action: It ends with a question to encourage comments (great for dev.to engagement).

Comments
Post a Comment