Unwrap

CSV tools for messy files

Find the guide that matches your problem — messy quoting, huge files, missing values, or unclear columns. Each page points to a practical first step in the browser.

Browse by job

Open & inspect

  • CSV viewer — Inspect rows and columns in the browser without importing into a spreadsheet first.
  • Open large CSV files — Work with big exports without freezing your machine on the first open.

Understand issues

  • Find missing values in CSV — Treat empty cells, sentinels, and inconsistent nulls as a structured problem.
  • CSV column analyzer — Understand types, empties, and basic column stats before you trust the export.
  • CSV delimiter detector — When commas are not separators — detect the real delimiter before parsing.
  • Fix broken CSV — Reason about quoting, newlines, and delimiter failures without guessing.

Compare workflows

  • CSV vs Excel — Choose the right tool — editing versus inspection, fidelity versus convenience.

FAQ

What counts as a messy CSV?

Inconsistent quoting, mixed delimiters, broken newlines inside fields, odd encodings, or exports that look fine in a preview but fall apart when parsed. If your file is hard to trust at a glance, it deserves a dedicated workflow.

Why use a browser tool instead of Excel?

Excel is great for editing, but huge or broken exports can be slow and opaque. A purpose-built viewer helps you see structure and issues before you commit to a cleaning strategy.

Is this a replacement for a database or ETL pipeline?

No. These pages are for inspection and quick understanding. Use your pipeline when you need durable transforms and automation.

Open your file in CSV Unwrap — load a CSV and inspect rows, columns, and dataset health.