#276 · Developer Tool

CSV Delimiter Detector

Detect whether tabular text uses commas, semicolons, tabs, pipes, or colons by scoring consistent field counts across logical CSV records. Tests common delimiter candidates with quote-aware parsing and ranks them by consistent multi-column records. Everything runs in the current browser tab, so you can examine the result before copying it into a script, test fixture, migration, or data pipeline.

Developer Input

CSV
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How to use this developer tool

  1. Paste the CSV input or load a local file.
  2. Choose the options that match the source format.
  3. Select Detect Delimiter or press Ctrl/Cmd + Enter.
  4. Review the summary and export the output you need.

What this developer tool does

This page tests common delimiter candidates with quote-aware parsing and ranks them by consistent multi-column records. The main output is ready to copy, while the structured exports retain the diagnostic fields used in the summary.

Each candidate is scored from modal field-count consistency, usable record count, and column count. Characters inside quoted fields do not count as separators.

Single-column data or irregular log lines may not contain enough evidence for a confident result.

Example

Input

sku;name;price
A-1;Cable;4.50
A-2;Adapter;8.00
A-3;"Case; blue";12.00

Running the sample produces a tool-specific report in the output panel, with counts that correspond to the parsed records or nodes.

Use cases

  • Check incoming CSV before an import or migration.
  • Create repeatable fixtures for parser and ETL tests.
  • Inspect structure without installing a command-line package.
  • Export a compact report for code review or issue tracking.

Tips for reliable output

  • Keep an untouched copy of the source before transforming it.
  • Test one representative edge case as well as the happy path.
  • Review quoted fields, Unicode, and empty values explicitly.
  • Use the JSON export when another program will consume the report.
  • Re-run the tool after changing any parsing option.

Processing details

Each candidate is scored from modal field-count consistency, usable record count, and column count. Characters inside quoted fields do not count as separators. Processing time is measured in the browser and the original input is left unchanged.

Single-column data or irregular log lines may not contain enough evidence for a confident result.

Frequently asked questions

What input does CSV Delimiter Detector accept?

Paste delimited text with a header where the operation requires one. Files are processed locally in the browser.

Does it upload my data?

No. The core processing runs in this page and does not send the pasted content to an API.

How are malformed inputs handled?

The tool stops and shows an error instead of silently returning a partial result.

Can I export the result?

Yes. Copy the main output or download it, and use CSV or JSON export when the structured report is available.

What should I verify before production use?

Single-column data or irregular log lines may not contain enough evidence for a confident result.

Output fields

AreaIncluded result
Main outputCopy-ready TXT or text
SummaryCounts and processing note
ExportsCSV and JSON when rows are available

Data & Format Tools

Browse parsers, converters, validators, and format inspection utilities.