Transform CSV and TSV spreadsheets into structured JSON arrays and objects with automatic delimiter detection.
The CSV to JSON Converter turns spreadsheet files into structured JSON data. It reads the top row of your spreadsheet as property keys and converts each row into a clean JSON object.
All parsing happens directly in your browser. Whether you are migrating customer records, importing product catalogs, or debugging spreadsheet exports, your confidential data stays safely on your machine.
Developers convert mock data tables from spreadsheets into JSON files for frontend prototyping.
Engineers convert legacy CSV exports into structured JSON collections for NoSQL databases like MongoDB.
Technical teams convert third-party spreadsheet feeds into JSON payloads for automated pipelines.
Paste your spreadsheet text or upload a .csv file into the workspace.
Choose whether to parse numbers and booleans, and verify your header row.
Inspect the live formatted JSON output and copy it or download the .json file.
Automatic delimiter detection for commas, tabs, and semicolons
Automatic conversion of numeric values and boolean strings into native JSON types
Clean formatted output with customizable 2-space or 4-space indentation
100% private in-browser conversion with zero network uploads
Convert three columns of spreadsheet text into an array of objects.
id,product,price 101,Desk,120 102,Chair,75
The header row sets property names and numbers are converted into native numeric types.
Solution: Your file may use semicolons or tabs instead of commas. Select the matching delimiter option in the settings.
Solution: Make sure any text containing commas is wrapped in standard double quotation marks in the input CSV.
MWT Labs tools are built using modern web primitives—including WebAssembly, Web Workers, and native HTML5 Canvas / Cryptography APIs. When you process images, parse PDF documents, format JSON payloads, or calculate financial schedules, execution happens strictly within your local browser memory sandbox.
The converter reads the first line of your CSV as object property names (column headers) and parses each subsequent line into a corresponding JSON object with matching key-value pairs.
Yes. The parser automatically detects commas, semicolons, and tab delimiters, making it easy to import files exported from regional spreadsheets or TSV documents.
Yes. You can choose whether numeric strings and true/false values should be converted to native JSON numbers and booleans, or preserved as plain strings.
No. Parsing runs entirely inside your browser's memory sandbox. Your contact lists, spreadsheet tables, and accounting files are never uploaded or saved to any server.
Misaligned rows usually occur when a data cell contains an unquoted comma or newline character. Ensure text fields containing commas are enclosed in standard quotation marks.
Convert JSON arrays and nested structures into CSV files for spreadsheet applications.
Export JSON data and arrays into Microsoft Excel (.xlsx / .xml) spreadsheets.
Beautify, validate, minify, and inspect JSON structures with interactive tree views.