Why is "Auto" an option for the delimiter here, but not on the JSON to CSV page?

Auto-detection makes sense when reading real CSV data, the parser can look at the actual characters and guess whether it's comma, semicolon, or tab-delimited. Going the other direction, there's nothing to detect: you're choosing which delimiter to write, not guessing one from existing text.

Why does the error banner only say "around line N" instead of giving an exact line?

The underlying CSV parser reports an error as a row index into the data it already parsed, not a line number in your original file. This tool adds back the header row to approximate a source line, but a blank line skipped earlier in the file can throw that estimate off, hence "around" rather than an exact claim.

What happens to a blank line in the middle of my CSV data?

It's skipped silently rather than turning into an empty row of nulls in the JSON output. This matches how most spreadsheet exports already treat stray blank lines, so a file with occasional gaps doesn't need to be cleaned up first.

CSV to JSON Converter Online: Instant, No Upload Required

CSV Inputpaste or type · or drop a .csv / .tsv file

Sep

HeadersBrowse

JSON Output

3 rows convertedcsv-to-json

What is CSV and when do you need JSON?

CSV (Comma-Separated Values) is the universal export format for spreadsheets, databases, and reporting tools. But modern APIs, JavaScript apps, and NoSQL databases speak JSON.

Converting CSV to JSON lets you feed spreadsheet data directly into a fetch call, seed a database, or pass records to a charting library, all without writing a single line of parsing code.

How the converter handles your data

Paste your CSV or drop a file and the converter parses it in your browser. When "Headers" is enabled, the first row becomes the keys of each JSON object, the most common shape for API payloads.

Auto-detect picks up commas, semicolons, and tabs automatically; switch it manually if your data uses an unusual delimiter or contains quoted fields with commas inside.

Common use cases

Data engineers use this to prototype ETL pipelines before writing code. Front-end developers convert exported Google Sheets data into JSON fixtures for mock APIs.

QA teams transform test-case spreadsheets into structured input for automated test runners. Because everything runs locally, sensitive CSV exports (financial records, user data) never leave your browser.

Frequently asked questions

The parser inspects every cell and converts anything that looks numeric or boolean to its real type rather than leaving everything as a string. That's usually what you want, but it means a value like a zip code with a leading zero loses that zero, "00501" becomes the number 501, since there's currently no per-column toggle to keep a specific field as text.

CSV → JSON

What is CSV and when do you need JSON?

How the converter handles your data

Common use cases

Frequently asked questions