Join non-empty lines with commas, or split a comma-separated list into lines. Items are trimmed and empty entries are removed.
Paste one item per line and select Lines → Comma to create a single list separated by a comma and a space. For the opposite direction, paste comma-separated items and select Comma → Lines. Both actions replace the text in the input box.
The item total updates after a conversion. While you type, it estimates entries using commas and newlines as separators. Because those rules differ from each individual conversion, the number can change when you select a direction.
Three separate lines containing “red”, “green” and “blue” become “red, green, blue”. Extra spaces around each line are trimmed, and blank lines are discarded. The order of the remaining items is preserved.
In the reverse direction, “red, , blue,” becomes two lines: “red” and “blue”. Empty items between consecutive commas and after a trailing comma are removed. Keep a copy of your source if empty positions have a meaning in your data.
The converter splits on every comma in Comma → Lines mode. It does not recognize quoted fields or escaped separators. For example, a quoted place name containing a comma will still split at that comma. Quotes do not protect an item.
Likewise, Lines → Comma does not add CSV quoting around entries that already contain commas. Use a spreadsheet or a proper CSV parser when field boundaries, quotes, embedded newlines or empty columns must be preserved.
This tool is useful for tags, simple options, draft lists and other plain-text entries where commas act only as separators. It does not sort, deduplicate or validate the items. Repeated values remain repeated, and a malformed email address remains unchanged.
Check the converted output, then select Copy or copy the text manually if clipboard access is unavailable. Reset clears the text and item total. A conversion changes the layout of your list; it does not confirm that the destination accepts that list format.
Use the comma separator by first deciding what separates the items in the source and what format the destination expects. Lines → Comma uses newline entries as its starting records, while Comma → Lines uses commas. The tool does not automatically infer which separator is meaningful. If the source contains a mixture of line breaks and commas, inspect a small sample first so you can see exactly which boundaries your chosen direction will use.
For example, a line containing “red, blue” stays a single line entry when you join lines, even though the resulting text now contains a comma inside that entry. In the reverse direction, every comma becomes a split. That asymmetry is important: changing direction later does not necessarily recover the original list boundaries. Keep a copy when internal commas or multiline records have meaning in your data.
For a straightforward tag list, place one intended item on each line and remove unrelated headings before selecting Lines → Comma. The converter trims whitespace around each line and discards empty entries. A bullet character or an existing numeric label is not automatically removed, so “1. red” becomes an item containing that prefix. If you do not want those labels, clean a working copy before joining the list.
The order of the remaining entries is retained, and duplicate values are retained too. Joining a list is therefore not a substitute for sorting, deduplication or validation. Check whether the destination permits repeated tags or empty-looking values that contain symbols. A visually tidy comma-separated result can still contain incorrect names or identifiers, because the tool changes separators rather than checking what the individual items are supposed to represent.
CSV data can use quotation marks to protect a field containing a comma, and can have rules for escaped quotes or embedded line breaks. This converter does not implement those structures. A quoted entry such as “New York, NY” is split at its comma in Comma → Lines mode. It is therefore suitable for simple lists only when commas are actually intended to separate all items in the input.
Use a spreadsheet or a CSV-aware parser for records with multiple columns, quoted names or meaningful blank cells. Joining lines here does not add the quoting required to preserve an item that contains a comma. Likewise, splitting removes empty entries, so it cannot preserve the position of an empty column in a record. Do not use a successful-looking preview as evidence that the original table can be reconstructed correctly afterward.
While you type, the displayed estimate treats commas and newlines as boundaries and ignores blank pieces. Each conversion then updates the total according to its own selected direction. A mixed-format sample can therefore show a different number after conversion even if no visible words were removed. That reflects the change in item interpretation, not an automatic quality check of the underlying data or a count of unique values.
To investigate a discrepancy, use a short input containing one internal comma, one newline and one blank entry. Compare the count before conversion, then inspect the output and count after choosing a direction. This makes the rule easier to see than testing a long pasted document. If the destination requires an exact item total, verify the boundaries there too, particularly when it treats quotes, trailing commas or whitespace differently.
A comma can belong inside an address, a number format or a piece of quoted text. This tool does not know the difference between that content and a separator. Similarly, trimming removes outer whitespace from each item even if the original spacing was intentional. Before processing names, codes or records, ask whether all commas are separators and whether blank entries can safely disappear. If either answer is no, use a more appropriate parsing workflow.
Do not rely on the converter to prepare executable commands or database expressions without further formatting and review. It adds separators, not language-specific escaping or validation. A list that looks correct for human reading may not have the syntax required by another application. Keep the task narrow: produce a plain-text list, review each item, then use the destination’s supported import or entry method for the final operation.
Compare the first and last items, inspect any values containing punctuation and check whether duplicate entries were intentional. Empty records disappear during both conversions, so a round trip cannot restore every detail of the original source. If the list is long, compare a few representative sections and the final count with your source copy. Keep the original when the output will be used as part of an important record or handoff.
The conversion replaces the current input, and Reset clears it. Copy uses that current text, subject to the browser’s clipboard permission. If copying is unavailable, select the result manually and inspect it after pasting into the receiving application. This final check confirms the practical format you need, instead of assuming that a list displayed neatly in the tool will be interpreted identically by every editor, form or import system.
No. Duplicate entries remain in their original order.
No. Both conversion directions trim entries and discard empty ones.
This tool does not parse CSV quoting. A comma inside quotes is still treated as a separator when converting to lines.
The live count uses both commas and newlines, while each conversion uses only its chosen separator and discards empty items.
Yes. Both directions retain the sequence of remaining non-empty items. They do not sort the list or decide a preferred order.
The output uses a comma followed by a space between each retained item. It does not append a separator after the last item.
The current interface provides comma conversion only. It has no custom separator field for semicolons or other delimiters.
No. A bullet or numeric prefix remains part of its item unless you remove it in a separate editing step.
Not exactly. Trimming and empty-entry removal discard formatting details, and internal commas can create new boundaries when converting back.
Not when splitting commas to lines. Every comma is treated as a separator, so use a suitable parser when commas belong inside records.