Home Tools About Us ♥ Support Us
📊 CSV to JSON Converter

Every CSV workflow,
one converter

Paste, upload, or fetch CSV — even inside a ZIP — and get clean JSON with full control over delimiters, headers, padding, dates, and more.

1. Input Source

2. Parse Options

3. Custom Headers

Leave blank to keep detected/original names. Comma-separated, applied left to right; fewer names than columns is fine.

4. Column Padding & Fixed Width

Add one rule per column that needs a fixed length. Rules apply after headers are resolved.

5. Date Formatting

6. Value Wrapping (Enclosures)

Wraps every string value in the JSON output with a left/right character — beyond JSON's own quotes. Useful for downstream systems expecting a marker.

7. Search / Filter Rows

8. Output Options

How to use every option

  1. Choose an input source — paste CSV text directly, upload one or more .csv/.txt files (or a .zip containing several), or fetch from a public URL.
  2. Set the delimiter — pick comma, pipe, semicolon, tab, tilde, let the tool auto-detect it, or type a custom one- or multi-character delimiter.
  3. Toggle parse options — mark whether row 1 is a header, trim stray whitespace, skip blank lines, auto-detect numbers/booleans/null, remove duplicate rows, or turn dotted column names like "address.city" into nested JSON objects.
  4. Add custom headers — type comma-separated names to replace the detected header row, useful for headerless files or renaming columns on the fly.
  5. Set padding rules — click "Add Padding Rule", pick a column, a target length, a pad character, and whether to pad/truncate at the start or end, or treat over-length values as an exception (left untouched).
  6. Format dates — name the date column and pick an output format; the tool parses common date strings and rewrites them consistently.
  7. Wrap values — pick quote presets or type custom left/right enclosure characters wrapped around every string value.
  8. Search or filter — type a value and optionally restrict to one column, then apply to keep only matching rows in the result.
  9. Set output options — choose minified or pretty JSON, NDJSON (one record per line), a sort column, and a custom output file name.
  10. Convert, then copy the JSON, download it as a .json file, or download a .zip (handy when converting multiple files at once).

Built to replace a dozen separate CSV tools

🔀
Any Delimiter
Comma, pipe, semicolon, tab, tilde, auto-detect, or fully custom.
📦
ZIP In & Out
Upload a ZIP of CSVs, convert them all, and download a ZIP of JSON files.
📏
Fixed-Width Padding
Force column lengths with custom pad characters and truncation rules.
🏷️
Custom Headers
Override or supply header names independent of the source file.
🔍
Search & Filter
Filter rows by value across all columns or one specific column.
🗓️
Date Reformatting
Normalize a date column into ISO, regional, or Unix timestamp formats.
🧩
Nested Keys
Dot-notation columns like "user.name" become real nested JSON.
Minify or NDJSON
Compact JSON, or one record per line for streaming pipelines.

Frequently Asked Questions

No. Parsing, padding, ZIP extraction, and JSON generation all happen locally in your browser. Nothing is sent to or stored on our servers, including files fetched from a URL — that request is made directly from your browser.

Comma, pipe, semicolon, tab, tilde, or any custom single/multi-character delimiter you type in.

Yes. Upload a .zip file and the tool extracts every .csv file inside it, converts each one, and lets you download the results as a single ZIP of JSON files.

It forces a column's values to a set character length. Shorter values are padded with your chosen character at the start or end; longer values can be truncated or left as an exception, based on your setting.

Yes. Search any value across the whole record, or restrict the search to a specific column, and matching rows can be filtered into the result.

Yes. Supply your own header names for some or all columns, overriding whatever is in the first row, or mark the file as headerless entirely.

Minified output removes all indentation and line breaks from the JSON, producing the smallest possible file size — useful for APIs or storage, at the cost of readability.

Yes, if type inference is enabled. Values like "42", "true", or "null" are converted to real JSON numbers, booleans, and null instead of staying as quoted strings.

Related tools

Browse Other Categories

Support EaseDev Studios

All tools are free. If they've saved you time, consider supporting us.

Buy Us a Coffee

A quick one-time gesture that means a lot.

Buy a Coffee →
🎗️

Become a Patron

Support us monthly and help build more tools.

Join on Patreon →