Convert your Excel spreadsheets to JSON format instantly. Upload any .xlsx or .xls file and export the parsed row structure as clean, structured JSON code.
Try it free →No signup · No data stored · 100% free
How it works
- 1
Upload your Excel file
Drop any .xlsx or .xls file. No account required.
- 2
AI-assisted conversion
Our engine reads your data, detects column types, and picks the best chart for each pattern.
- 3
Visualize your graphs
Interactive charts are ready instantly. Explore trends and share insights.
Everything you need, nothing more
No account needed
Upload instantly, zero signup.
Privacy first
Files are never stored on our servers.
Any device
Works on mobile and desktop.
AI-powered
Smart chart selection from your data.
Common use cases
Feed data into APIs
Developers often need spreadsheet data as JSON for a request body or config file. Convert an .xlsx to a clean array of objects and paste it straight into your code or Postman.
Seed databases & apps
Turn a reference spreadsheet — products, users, translations — into JSON to seed a database or bundle into an app. Each row becomes an object keyed by your header names.
Bridge no-code tools
Many no-code platforms and webhooks speak JSON, not Excel. Convert the sheet once and wire it into automations without writing a parser yourself.
From spreadsheet rows to JSON objects
The conversion follows one rule that makes the output predictable: your header row becomes the object keys, and every data row becomes one object. A sheet with columns Name, Email and Plan turns into an array of objects, each with a name, email and plan property.
Because every row produces an object with the same set of keys, the result is uniform. Empty cells become empty values rather than missing properties, so consuming code does not have to test whether a key exists before reading it. That uniformity is what makes the output safe to feed straight into a parser, a database seeder or an API request body.
Why developers convert Excel to JSON
Spreadsheets are where business data is written; JSON is what software reads. Almost every task that starts with "marketing sent me a sheet" and ends with working code passes through this conversion.
Typical cases: seeding a database from a reference list of products, regions or translations. Building a request body for an API that expects JSON. Loading fixture data into a test suite. Feeding a webhook or no-code automation that speaks JSON and cannot read .xlsx. Turning a maintained spreadsheet into a config file that ships with an application.
The alternative is writing a parser with openpyxl, SheetJS or a similar library for what is often a one-off job. When the file will not be converted repeatedly, doing it here is faster than the code you would write to avoid it.
Preparing your sheet for a clean result
Output quality follows input structure, and a few habits make a large difference.
Keep exactly one header row, at the top. Stacked or merged headers cannot be reduced to a single key per column, and the result reflects that. Name columns as you would name variables: short, unique, no trailing spaces. Two columns sharing a name collide into one key.
Hold one value per cell. A cell containing "red, blue, green" stays a single string, because splitting it would be a guess about your intent. If you need an array, split the values into separate columns first. Delete subtotal and grand-total rows before converting, since they become ordinary objects indistinguishable from real records. Formulas resolve to their computed values, which is normally what you want.
Getting the JSON out
After the file is parsed, an export button downloads the result as a .json file, ready to open in an editor or drop into a project. A CSV export sits next to it for tools that prefer flat text.
The same data grid used elsewhere on the site is available before you export, which is worth a moment of your time: confirming that column types were read as you expected costs seconds here and saves a debugging session later, when a number that was silently text breaks something downstream.
Tips & best practices
Conversion maps your header row to JSON keys, so name columns cleanly — short, unique, no trailing spaces — and they become the object property names. Each data row turns into one object, and the whole sheet becomes an array of those objects. Keep one value per cell; a cell holding "a, b, c" stays a single string, so pre-split lists into separate columns if you need arrays. Empty cells become empty strings or nulls rather than being dropped, which keeps every object the same shape. Numbers and dates are read as their computed values, and formulas resolve before export. If a workbook has several sheets, convert the relevant one on its own so the output isn't mixed across tables.
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Try it free →Frequently asked questions
Q.What does this site do & how can I convert my Excel files to graphs?
This site is a free, instant online tool to view, read, and convert Excel (.xlsx, .xls) files into interactive charts. Simply upload your file in the box above, and our system will automatically analyze your data structure, detect column types, and generate chart recommendations which you can customize and export.
Q.What file types are supported?
.xlsx and .xls files are supported.
Q.What chart types can it generate?
Bar, line, area, pie, scatter, and trend charts — chosen automatically based on your data.
Q.Is it free?
100% free. No signup, no credit card, no limits.
Q.What does the JSON output look like?
An array of objects. Each object is one row, with properties named after your header row, so a Name/Email sheet yields objects with name and email properties.
Q.How are empty cells handled?
They become empty values rather than being dropped, so every object keeps the same shape and your code can read a key without checking that it exists.
Q.Are formulas converted or resolved?
Resolved. You get the computed value a cell displays, not the formula text behind it.
Q.Can I convert an .xls file to JSON as well?
Yes. Both legacy .xls and modern .xlsx convert the same way, so files from older systems need no preparation.
Q.What happens with a multi-sheet workbook?
Each sheet is parsed and shown on its own tab, and you export the sheet you are viewing. Convert them one at a time to keep the files separate.
Have a different file type?
Each format has its own dedicated tool built for it.