Quote Generator

Wrapping every line of a list in quotes for a SQL IN clause, JSON array, or Python list literal is the kind of three-second-each task that compounds into ten minutes when you have a hundred lines. Find-and-replace gets close but breaks on edge cases (lines containing commas, lines with quotes already, blank lines).

Paste a multi-line list and pick your delimiters — single quotes, double quotes, square brackets, parentheses, backticks, or custom strings. The quoter wraps each non-empty line in your chosen delimiters and joins with your chosen separator (comma, newline, both). The result drops cleanly into code or data formats without manual touchup.

Common use cases: building IN clauses for ad-hoc database queries, formatting lists from a spreadsheet column for code use, converting newline-delimited config into a single-line array. Trivial when you have ten items, useful when you have five hundred.

The operation is conceptually simple but full of small failure modes. Wrap each line in delimiters, escape any inner occurrences of the delimiter, join with separators. The escape rules vary by destination format: SQL strings escape single quotes by doubling them ('' inside a '...'), most C-family languages escape with backslashes ("\""), JSON requires backslash-escaping for double quotes and a few other characters, YAML has multiple quoting modes with different rules. The tool's escaping mode picker handles these variations because doing it by hand catches edge cases that find-and-replace misses.

Worked example: source list of three product names "Acme Widget", "Foo's Bar", "Baz "Pro"". For SQL IN clause: 'Acme Widget', 'Foo''s Bar', 'Baz "Pro"'. Note the inner single quote in "Foo's" doubled to "''" but the inner double quotes left alone (they're fine inside single-quoted SQL strings). For JSON array: ["Acme Widget", "Foo's Bar", "Baz \"Pro\""]. Different escaping for the same input. The tool's job is to know which escape rules apply to which destination format and apply them consistently.

Limits: Unicode in identifiers can break naive implementations. A name like "Müller" with a non-ASCII character is fine in modern UTF-8 systems but can break in older databases or with mismatched encoding. The tool passes through Unicode unchanged; if your destination doesn't handle it, the failure is downstream. Also: extremely long lines or extremely many lines can hit performance walls in browser JavaScript, though for typical use (hundreds to a few thousand items) it's fast enough that you don't notice.

The bigger workflow question is when to use this versus an editor macro versus a command-line tool. For one-off transformations of a list pasted from elsewhere, the tool is fastest. For repeated transformations within a project, an editor macro or a small script is faster long-term. For programmatic generation (template strings in code), build the format directly in code rather than transforming flat lists. The tool occupies the niche of "I have this list and need it formatted differently right now," which is genuinely common but isn't the right answer for every list-transformation problem.