By
@emin
A minimal text sanitizer app to clean up messy unstructured data. It strips out HTML tags, extracts emails/URLs/phones, cleans extra white spaces, and lets you run custom Regex patterns without dealing with complex tools.
I built Text Sanitizer, a small web app that cleans up messy text before it gets copied, pasted, or shared. It removes extra whitespace, strips unwanted html content, normalizes formatting, and makes text safer and easier to reuse without making it feel over-processed.
The biggest challenge was balancing simplicity with safety. I wanted the sanitizer to be fast and easy to use, while still handling edge cases like repeated spaces, malformed markup, and messy pasted content without breaking the original meaning.
I’m proud of the overall user experience: the app is easy to test in real time. I also added a few quality-of-life improvements, including instant preview, simple copy workflow, and clearer output for users who want a cleaner result quickly.
To test it, paste text with repeated spaces, HTML-like fragments, or noisy formatting into the input box and compare the cleaned output. The tool is meant to help people sanitize text in seconds while keeping the result readable and consistent.
39m 28s logged
Finally, I finished the project. That’s how it looks right now. Link: https://text-sanitizer-gules.vercel.app/
1h 59m 17s logged
That’s the current version of my project. I’m still developing it. I hope it will be usefull for people with their tasks and works. It’s on live, you can try it from the link: https://text-sanitizer-gules.vercel.app/
20m 14s logged
I am building a frictionless tool to clean up messy text, extract key metrics, and remove clutter instantly.Tested it on a real-world messy research snippet containing scattered email addresses, raw URLs, extra white spaces, and rogue HTML tags. With a single click, it extracted all 3 contact emails ([email protected], [email protected], [email protected]) and parsed out clean URLs effortlessly!
