CSV Inspector

Why this tool?

Catch delimiter mistakes, uneven rows, and quoting issues before importing CSVs into databases or spreadsheets. Inspect locally, then export JSON safely.

Built for analysts, engineers, and ops teams who want a fast sanity check without uploading files.

How to use it

Paste a CSV sample, pick delimiter and quote style, and click Inspect. The summary flags inconsistent row lengths, duplicate headers, and the detected column count. A preview table shows the first 20 rows so you can confirm alignment before bulk processing.

If the file uses tabs or semicolons, switch delimiters to match. Toggle Header row to treat the first row as field names and catch duplicates. When the shape looks correct, click Export JSON to download structured data for quick scripting or API mocks.

Who benefits

Data analysts cleaning vendor exports, engineers building ingestion pipelines, QA testers validating fixtures, and customer success teams triaging bad uploads all save time here. Support agents can paste a user’s CSV to spot the exact row that breaks an import, while product teams can prototype transformations without opening a spreadsheet app.

Security-conscious teams appreciate that no data leaves the browser, making it safe to inspect PII or internal metrics on locked-down machines.

Implementation notes

The parser handles escaped quotes and configurable delimiters without external libraries, keeping performance snappy. It ignores carriage returns, trims empty trailing lines, and reports length mismatches so you can fix malformed rows before reaching your database.

JSON export respects headers when present, falling back to col_1, col_2 naming when none are provided. All logic runs client-side, with no uploads or logging. Clear resets state instantly, letting you iterate across multiple samples during debugging or user support.