Clean and transform plain text with fast, privacy-first formatting tools.
Last updated: 2024-10-01
The Text Formatter cleans and transforms plain text in your browser. Paste content and apply common operations like trimming whitespace, normalizing line breaks, or changing case.
It is designed for the everyday text cleanup tasks that slow down development work. Whether you are preparing a list, cleaning log snippets, or normalizing a file, the formatter keeps things fast and simple.
Everything runs locally, so the text you paste never leaves your browser. There is no upload and no account.
Text cleanup is a constant part of debugging, scripting, and documentation. A fast formatter reduces the time you spend hand-editing and makes results consistent.
The tool is intentionally small and focused, so you can use it for quick fixes without opening a full editor or writing a script.
Browser-only processing keeps private data safe, which is important when working with internal logs or customer text.
Collapse extra spaces, remove trailing whitespace, and standardize line breaks.
Convert a messy list into a clean, line-by-line format for scripts or imports.
Transform text to upper, lower, or title case for consistent naming.
Normalize text before comparing it in the File Compare tool.
Remove noise or extra spacing before sharing a log snippet.
Paste or type text into the input panel.
Select one or more formatting operations like trim or case changes.
The formatter applies the changes locally and shows the output instantly.
Copy the cleaned result or pass it to another tool like a viewer or formatter.
Start by defining the output you need. For example, if you are preparing a list for a script, normalize line breaks and remove extra spaces first. Having a target format prevents over-editing and keeps the result predictable.
Layer transformations carefully. Changing case before removing duplicates can lead to different results than doing it after. Keep a copy of the original so you can compare and revert if needed.
Use the formatter as a pre-processing step for other tools. Clean text before comparing, or normalize spacing before pasting into JSON or SQL to reduce errors.
Aggressive trimming can remove intentional indentation. If your text includes code blocks, preserve tabs and spacing where needed.
Case conversion can change identifiers that are case-sensitive. Use it for prose or labels, not for IDs or tokens.
Normalizing line endings can alter file semantics for some tools. Apply only what is required for your workflow.
When cleaning text for scripts, decide if you need to preserve order or unique values. The formatter can help normalize, but you should be clear about whether duplicates are meaningful. This prevents accidental loss of data when preparing inputs.
If you are building a regex or search query, use the formatter to normalize whitespace first. A clean input reduces edge cases and makes your patterns more reliable across different sources.
For documentation, text cleanup improves readability. Use the formatter to wrap long lines or remove accidental spacing from copied content, then review the output to ensure intent remains intact.
When preparing text for CSV or JSON, normalize quotes carefully. Replacing straight quotes with smart quotes can break parsers. Keep quotes simple and consistent so data stays machine-readable.
If you are cleaning a list of URLs or file paths, avoid lowercasing by default. Some systems are case-sensitive, and a small change can break a link or a path.
If the text will be shared across tools, standardize the encoding and line endings. A consistent format reduces surprises when the text is opened on different operating systems or imported into other utilities.
Apply the smallest set of transformations needed. Over-formatting can remove meaningful spacing or indentation.
When preparing data for another tool, normalize line endings to avoid platform-specific issues.
Keep a raw copy of the text in a separate tab. When you apply multiple transformations, that backup lets you confirm you did not remove meaningful content or change the order unexpectedly.
If you are preparing text for search or matching, normalize punctuation as well. Consistent punctuation prevents false mismatches when you compare or dedupe lines.
No. All formatting happens locally in your browser.
The focus is on core cleanup operations. For advanced transformations, use an editor or script.
It can, but some cleanup options will normalize whitespace. Choose operations carefully.
Large inputs are supported, but performance depends on your device. Start with a smaller sample if needed.
Yes, but specialized tools like the Log Viewer or JSON Formatter provide better structure.
Keep a copy of the original input so you can compare changes if needed.
Keep your workflow moving with these related utilities.
Beautify or minify JSON with instant validation and browser-only privacy.
Turn dense SQL into readable, consistent queries with browser-only formatting.
Inspect large log files with clean formatting, quick filters, and browser-only privacy.