CSV Pro — Advanced Data Analysis

A CSV is just text until you understand its shape. CSV Pro reads the file once, auto-detects the delimiter, handles quoted fields, and then profiles every column — inferring whether each holds numbers, dates, booleans or strings, counting the empty cells, and tallying distinct values. From that it derives a data-quality score, so before you load anything downstream you already know which columns are clean and which need attention.

The most underrated operation on tabular data is the diff. Verifying that today's export matches yesterday's, that a migration preserved every row, or that two systems agree, all come down to a structural comparison. CSV Pro hashes each row and buckets them into added, removed and unchanged, then reports a similarity percentage — the same kind of structural analysis you do on API contracts with the schema difference analyzer, applied to rows instead of fields.

Cleaning is a loop, not a one-shot. Search globally, filter by column, sort to surface the outliers, and watch the quality metrics update live — all non-destructively, so nothing is mutated until you deliberately export. When the working subset is right, emit clean CSV for a spreadsheet or structured JSON for code. That JSON shape — objects keyed by your headers — is exactly what you'd describe with the JSON Schema Explorer or feed into a request with the API request builder.

Because every step runs in your browser via the File API, confidential extracts, PII-bearing datasets and internal exports never leave your machine — there is no account, no telemetry and no upload, and once the page has loaded it keeps working offline. That privacy is what makes CSV Pro safe to keep open in a pinned tab as the everyday analyze-compare-clean-export workbench it's designed to be.