InvisibleFix Web App
The InvisibleFix Web App is a local-first text normalization tool designed to remove invisible Unicode characters and hidden formatting before content reaches real platforms. It focuses on structural hygiene rather than wording, making text predictable across browsers, CMS editors, and social platforms.
The web app is typically used as a last validation step after text is generated, edited, or copied from high-risk sources such as AI chat interfaces, document editors, PDFs, or web pages. Invisible structure is removed without altering visible content, meaning layout, parsing, and mobile behavior become stable again.
Because processing happens locally, text never needs to be transmitted to external services. This makes the web app suitable for sensitive drafts, client content, and pre-publication checks where privacy and predictability matter.
What the web app does
The web app normalizes text by standardizing whitespace, removing unintended invisible separators, and preserving required Unicode elements such as emoji joiners and multilingual shaping where applicable. The goal is not aggressive stripping, but controlled cleanup.
When to use it
The web app is ideal when content is prepared on desktop and passed through multiple tools before publishing. Typical use cases include cleaning AI-generated text, copy-paste from Docs or PDFs, preparing SEO titles and meta descriptions, and validating captions before posting on social platforms.
Why it improves publishing reliability
Invisible Unicode characters often remove line-break opportunities, split tokens invisibly, or alter parsing. By normalizing text before publishing, the web app reduces platform-specific failures such as early truncation, broken hashtags, and inconsistent rendering between desktop and mobile.
Local-first processing
All cleanup happens in the browser. Text is not stored, logged, or transmitted. This makes the web app suitable for professional workflows where confidentiality and control are required.