EZ
EZ2Conv

Excel-JSON Converter

Convert Excel spreadsheets (XLSX, XLS, CSV, ODS) to structured JSON data with real-time preview. Supports object and array output formats, multi-sheet selection, header handling, and date parsing. Free browser-based tool processing files up to 10MB with no server uploads.

Initializing Excel processing library...

How to Use

  1. Drag and drop Excel files (.xlsx, .xls) or click to upload; CSV and ODS files are also supported with a maximum size of 10MB
  2. Configure output format (object with header keys or compact array), header processing, date parsing, and empty cell handling options
  3. Review the automatically converted JSON data in the preview panel, formatted for readability with proper indentation
  4. Check row, column, and sheet statistics, then copy the JSON output to your clipboard or download it as a file

💡 Usage Tips

  • Enable 'Use first row as headers' option if the first row contains headers
  • When multiple sheets exist, the first sheet is automatically selected
  • Large files may take longer to process
  • Object format outputs as key-value pairs, array format as compressed form

Turning Spreadsheets into JSON

What this converter does

A spreadsheet is a grid of rows and columns; JSON is a tree of keys and values. This tool bridges the two by reading an Excel workbook — XLSX, XLS, CSV, or ODS — and rewriting each row as structured JSON. It parses the file directly, detects the sheets inside it, and lets you decide how the rows should be shaped in the output.

Two output modes cover most needs. Object format uses the header row as keys, producing one JSON object per data row — the shape most APIs and scripts expect. Array format drops the keys and emits each row as a compact array of values, which is smaller and closer to the raw grid.

When to use it

The typical case is turning a spreadsheet someone maintains by hand into data a program can read. A product list, a price table, or an exported report becomes a JSON array you can drop into an API request, a config file, or a database seed.

It also helps while you are prototyping. Instead of hand-writing sample JSON, you can lay the data out in familiar spreadsheet columns, convert once, and paste the result straight into your code or a mock server.

Example: rows to objects

Imagine a sheet whose first row reads name, price, in_stock, and whose next rows hold Keyboard, 39.90, true and Mouse, 19.50, false. With the first row treated as headers and object format selected, the converter returns [{"name":"Keyboard","price":39.90,"in_stock":true}, {"name":"Mouse","price":19.50,"in_stock":false}]. Each header becomes a key, each cell becomes its value, and one object is produced per row.

Notes and edge cases

A few options shape the result. When the first row holds column titles, enable header handling so those titles become keys instead of a data row. Date parsing turns spreadsheet date cells into readable values rather than Excel's internal serial numbers, while raw-value mode keeps cells exactly as stored when you would rather format them yourself. Empty cells can be filled with a default such as an empty string, blank rows can be skipped, and surrounding whitespace can be trimmed. If a workbook holds several sheets, pick one to convert or export them all; the row, column, and sheet counts shown next to the preview help you confirm the file parsed as expected.

Frequently Asked Questions

Yes. You can convert as many XLSX, XLS, CSV, or ODS files as you like, with object and array output, multi-sheet selection, header handling, and date parsing all included. Files up to 10MB are accepted and there are no premium tiers or usage caps.
Parsing and JSON generation run entirely on your device, so a workbook you open — whether it holds financial figures or a customer list — is never uploaded to a server or stored anywhere. The file stays with you and the JSON is produced locally.
No. Drop in a spreadsheet and the JSON output appears with a live preview and sheet statistics, no email or registration involved. Nothing gates the conversion behind a sign-up.
Object format pairs each cell with its column header, giving one keyed JSON object per row — ideal for feeding APIs. Array format omits the keys and lists each row's values in order, producing a shorter payload that mirrors the original grid.
With automatic date parsing on, Excel date cells become readable values instead of the serial numbers Excel stores internally. Numbers stay numeric rather than becoming strings, and raw-value mode is available when you prefer the cells passed through untouched.
Yes. When a file contains more than one sheet you can convert a single selected sheet or all of them at once. The tool lists each sheet with its row and column counts so you can pick the right one before converting.
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