CSV Parser

Parse, view, and analyze CSV data instantly in your browser. Supports multiple delimiters, quoted fields, and sortable columns.

Multi-Delimiter Sortable Columns 100% Client-Side

Drop a CSV file here or click to browse

Reads .csv, .tsv, and .txt files up to 10 MB — locally in your browser, nothing is uploaded.

How to Use CSV Parser

1

Paste or Type CSV

Paste your CSV data, drop a .csv file onto the upload area, or click "Load Sample CSV" to try it out.

2

Choose Delimiter

Select your delimiter or use auto-detect. Toggle the header row option if your CSV has column names.

3

View & Sort

The parsed table appears instantly. Click any column header to sort data ascending or descending.

What is CSV?

CSV (Comma-Separated Values) is a simple text format for storing tabular data. Each line represents a row, and values within a row are separated by a delimiter — most commonly a comma. CSV files are widely used for data exchange between applications, databases, and spreadsheets.

Key CSV Features

Plain text format that is human-readable and editable in any text editor

Universally supported by spreadsheets, databases, and programming languages

Supports quoted fields to handle delimiters, newlines, and special characters within values

Frequently Asked Questions

What delimiters does this parser support?

This parser supports comma (,), semicolon (;), tab, and pipe (|) delimiters. You can also use the auto-detect option, which analyzes your data to identify the most likely delimiter.

How does the parser handle quoted fields?

Fields enclosed in double quotes are treated as a single value. This allows fields to contain the delimiter character, newlines, and escaped quotes (represented as two double-quote characters ""). For example, "Alice, Wang" is parsed as a single field containing a comma.

Is my data sent to any server?

No. All CSV parsing is done entirely in your browser using JavaScript. Your data never leaves your device, ensuring complete privacy and security.

Can I upload a CSV file instead of pasting?

Yes. Drag & drop a .csv, .tsv, or .txt file onto the upload area (or click it to browse). The file is read locally with the browser FileReader API — it is never uploaded to any server. Files up to 10 MB are supported; larger files should be split first.

What does RFC 4180 actually standardize?

The common CSV grammar: fields separated by commas, records by CRLF line endings, fields containing commas, quotes, or newlines wrapped in double quotes, and an embedded quote written as two quotes in a row. It also notes the first record may be a header. Real-world files bend every rule - bare LF endings, no quoting, trailing delimiters - so this parser tolerates common variants while flagging structural problems.

How do I pick the right delimiter, or let the tool detect it?

Comma is the RFC 4180 default, but European locales often export semicolon-delimited files (Excel does so where the decimal comma is standard), and tabs survive copy-paste from spreadsheets. Detection works by counting candidate delimiters per line and choosing the most consistent one - this parser auto-detects comma, semicolon, pipe, and tab, and lets you override.

What usually breaks a CSV file?

The top offenders: unquoted fields containing the delimiter; an odd number of quotes corrupting every row after them; ragged rows with more or fewer columns than the header; and encoding mismatches, such as windows-1252 text showing mojibake or a UTF-8 BOM gluing itself to the first header cell. This parser reports row-length mismatches so the bad line is easy to spot.

How does this parser handle large CSV files?

Everything runs client-side, so the ceiling is your browser's memory rather than a server timeout. Files into the tens of megabytes generally parse fine on a desktop; beyond that, use the delimiter stats and row/column counts to sanity-check the file first, or split it before analyzing. No bytes leave your machine at any size.

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