CSV to JSON Converter, Turn CSV Into JSON Online
Paste CSV or drop a spreadsheet export and watch it become clean JSON live. Choose an array of objects or arrays, toggle the header row, opt into number/boolean/null type inference, and switch between pretty and minified, all in your browser, never uploaded.
What is the csv to json?
CSV to JSON turns a pasted or dropped .csv into a clean JSON array of objects or arrays, with a header toggle, optional number and boolean type inference, and pretty or minified output. The delimiter is sniffed automatically and live row, column and size badges update as you go. Free, client-side, nothing uploaded.
The GigAI CSV to JSON converter is a desktop-grade tool for reshaping delimited data into JSON without a script or a server round-trip. Paste CSV, drop a.csv exported from Excel, Google Sheets or a database, or import a file, and it parses the text with papaparse: automatically sniffing whether your fields are separated by commas, semicolons or tabs, and correctly handling quoted values, embedded commas and multi-line cells that trip up naive split-on-comma converters. The output streams live into a second editor as you type or change an option. Turn the header toggle on and every row becomes a JSON object keyed by your column names. Turn it off and each row becomes a plain array, which is handy for headerless data or when you want positional access. Because CSV is pure text, values arrive as strings by default: flip on type inference and the tool converts obvious numbers, true/false and empty cells into real JSON numbers, booleans and null, so the result drops straight into a typed API or a config file without a post-processing pass. A pretty/minified switch gives you 2-space-indented JSON for reading or a single-line payload for the smallest request body, and live badges show row and column counts plus the output size so you know exactly what you are shipping. Copy it to your clipboard, download it as a.json file, or share a link that reopens the tool with your data pre-loaded. Because everything runs client-side, customer exports, analytics dumps and internal datasets never leave your machine: close the tab and every trace is gone.
- Difficulty:
- Easy
- Typical time:
- ~15s
- Processing:
- 100% browser processing
- Converts:
- CSV → JSON
Last updated
How to use the csv to json
- 1
Add your CSV
Paste CSV into the left editor, drop a .csv file anywhere on the workspace, or click Import. A sample loads in one click if you just want to see it work.
- 2
Set the shape
Choose 'Array of objects' to key rows by the header row, or 'Array of arrays' for positional rows. The output re-converts live the instant you switch.
- 3
Tune types & formatting
Turn on type inference to convert numbers, booleans and blanks to real JSON values, and pick pretty (indented) or minified (single-line) output.
- 4
Copy or download
Copy the JSON to your clipboard, download it as a .json file, or share a link that reopens the tool with your data pre-loaded.
What CSV to JSON includes
Objects or arrays, your call
With the header toggle on, each row becomes a JSON object keyed by your column names. Turn it off and every row is a plain array, ideal for headerless data or positional access.
Optional type inference
CSV is all strings by default. Flip on inference and obvious numbers, true/false and empty cells become real JSON numbers, booleans and null: output that drops straight into a typed API.
Automatic delimiter sniffing
Comma, semicolon or tab, papaparse detects the separator for you and handles quoted values, embedded commas and multi-line cells that break naive split-on-comma converters.
Pretty or minified output
Switch between human-readable 2-space-indented JSON for reading and a single-line minified payload for the smallest possible request body: the result re-renders live.
Live row, column & size badges
The moment you paste, badges show how many rows and columns were parsed and the exact size of the JSON output, so you know precisely what you are about to ship.
100% client-side
Parsing and conversion happen on your device. Customer exports, analytics dumps and internal datasets are never uploaded, stored or logged, close the tab and every trace is gone.
Why use our csv to json
Feed CSV into any API
Turn a spreadsheet export into an array of objects that a REST endpoint, a Postman request or a fetch() body accepts without you writing a one-off parsing script.
Handles the CSV edge cases
Quoted fields, values with commas inside them and multi-line cells are parsed correctly, the exact places a quick split(',') would silently corrupt your data.
Typed output, not just strings
Opt-in inference means your numbers are numbers and your booleans are booleans, so the JSON validates against a typed schema instead of failing on quoted strings.
No install, no upload
Get a robust CSV parser without wiring up papaparse in a project or pasting confidential data into a third-party server. It all runs locally in the tab.
Built for the way you work
From quick one-off fixes to daily workflows, see how people put this tool to use.
- Backend developer
Seed a database or fixture
Convert a CSV of sample records into an array of objects to paste straight into a seed script, a test fixture or a JSON mock for a front end.
- API integrator
Build a request body
Turn a spreadsheet a client sent you into a minified JSON array you can drop into a POST body or a Postman request without hand-editing every row.
- Data analyst
Reshape an export for a notebook
Take a CSV export from a BI tool or a database and get typed JSON that loads cleanly into a JavaScript notebook, a config, or a charting library.
- No-code builder
Feed a JSON-only tool
Convert a Google Sheets export to JSON so it drops into an automation, a static-site data file or a low-code platform that only accepts JSON.
Supported formats
Accepts CSV, TSV and TXT, and produces JSON, all processed locally in your browser.
- CSV
- TSV
- TXT
- JSON
Frequently asked questions
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Use CSV to JSON in your code
The same engine runs behind the free API: send files, get signed download links back, and everything is deleted after the retention you choose. 1,000 tasks a month, no card.
Also runs as a task inside a job - chain it with the other engines. See the recipes.
curl -X POST https://api.gigai.tools/v1/jobs \
-H "Authorization: Bearer $GIGAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "tasks": {
"in": { "operation": "import/url", "url": "https://example.com/input.csv" },
"work": { "operation": "csv-to-json", "input": ["in"] },
"out": { "operation": "export/url", "input": ["work"] }
} }'
# then poll until finished and follow the export URL:
curl https://api.gigai.tools/v1/jobs/JOB_ID/wait -H "Authorization: Bearer $GIGAI_API_KEY"Comparisons & guides
Go deeper on the concepts behind the csv to json.
CSV vs JSON: Which Data Format Fits Your Job?
ComparisonCSV is a flat, compact table format that spreadsheets love. JSON is a nested, structured format that code and APIs love. How to do it they differ and when to reach for each.
Read the comparisonCSV vs Excel: Which Format for Your Data?
ComparisonCSV is a universal plain-text table. Excel (.xlsx) adds formatting, formulas and multiple sheets. Here's when to use each and how to convert between them.
Read the comparisonHow to Convert CSV to JSON (Free, In Your Browser)
GuideTurn a spreadsheet or CSV export into a clean array of JSON objects, with the right headers as keys and correct data types. A step-by-step guide.
Read the guideHow to Format JSON (Pretty-Print & Validate)
GuideTurn a minified or broken JSON string into clean, indented, readable JSON, and catch syntax errors while you're at it. A quick step-by-step guide.
Read the guideCommon problems, solved
Hit a snag? Here are quick fixes for the issues people run into most.
My columns are all in one field / the split looks wrong.
The delimiter was mis-detected because the file is mostly one column or uses an unusual separator. Make sure the file is genuine CSV/TSV. Papaparse sniffs comma, semicolon and tab from the data, so a consistent delimiter throughout gives the cleanest result.
My numbers came out as strings like "42".
Type inference is off by default because CSV has no types. Turn on 'Infer types' to convert obvious numbers, true/false and empty cells into real JSON numbers, booleans and null.
A value like 007 or a phone number lost its leading zeros.
That happens when inference treats it as a number. If leading zeros or exact formatting matter (IDs, ZIP codes, phone numbers), turn 'Infer types' off so every value stays an exact string.
The first data row became my keys / a header row is missing.
The header toggle controls this. If your file has no header row, switch to 'Array of arrays' so each row becomes a positional array instead of being keyed by the first row.
Get the most out of it
Leave 'Infer types' off when values are identifiers, ZIP codes or phone numbers. It preserves leading zeros and exact formatting as strings.
Use 'Array of arrays' for headerless data or when you want positional access. Use 'Array of objects' when column names should become keys.
Pick minified output for the smallest API request body, and pretty output when a human needs to read or diff the result.
Paste tab-separated data straight in, the delimiter sniffer detects tabs, so a TSV converts without any extra setting.
Need to go the other way? Use the sibling JSON to CSV tool to turn an array of objects back into a spreadsheet-ready file.
What's new
Recent updates and improvements to the csv to json.
Initial release: client-side CSV to JSON with automatic delimiter sniffing, a header toggle for array-of-objects vs array-of-arrays, live conversion, pretty/minified output, row/column/size badges, copy, download, undo/redo and shareable links.
Added opt-in type inference (numbers, booleans and empty→null) with a clear note that it is off by default to preserve leading zeros and exact string formatting.
Improved TSV handling, added a curated set of sample CSVs and refined the row/column count badges for headerless data.
Keep exploring
Problems we solve
Definitions
From the blog
- CSV vs Excel: What's the Difference and When to Use Each
- How to Convert CSV to JSON: Headers, Types, and Nesting Done Right
- How to Convert Excel to PDF: Keep Your Spreadsheet Readable When You Share It
- Working With CSV Files: A Practical Guide to Editing and Cleaning Data
- How to Convert Audio to MP3 (And Pick the Right Bitrate)
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Your privacy is built in
Your CSV is parsed and converted entirely in your browser. It is never uploaded to any server. Nothing is stored, logged or transmitted, so you can safely convert customer exports, analytics dumps and internal datasets. Close the tab and every trace is gone.
- Runs in your browser
- No uploads
- Nothing stored
Ready to try the csv to json?
Free, private and instant. CSV to JSON runs right in your browser.