Convert CSV into tables and SQL
CSV is the format everyone can produce, but rarely the format you actually need. The CSV to Markdown Table tool turns raw rows into a GitHub-flavored table, aligned and ready to paste into a README or pull request. The CSV to HTML Table converter does the same for web pages, with an optional header row. And when a colleague hands you a column of IDs to look up in a database, the CSV to SQL IN Statement tool converts it into a quoted, escaped IN (…) list — with deduplication and chunking for lists too long to run in one query.
Delimiter mismatches cause more broken imports than anything else: European Excel exports use semicolons, log pipelines use tabs, and some legacy systems insist on pipes. The CSV Delimiter Converter switches a file between commas, semicolons, tabs and pipes without mangling quoted fields that contain the delimiter character. That last part matters — a naive find-and-replace will happily split “Smith, John” into two columns, and the damage often goes unnoticed until the data is already in the database.
Clean up data before it ships
Two tools handle cleanup. The CSV Duplicate Remover strips repeated rows — either whole-row matches or duplicates on a key column such as an email address — and shows you exactly which rows were dropped, so nothing disappears silently. The CSV Column Extractor lets you pick, reorder or drop columns and export the slimmed-down file, which is the fastest way to remove sensitive columns before sharing a dataset with someone who only needs part of it. Because both run client-side, the full file is not intentionally transmitted to an application server by Utilshut in the process.