ChatGPT HTML stripper

A reply copied out of ChatGPT is never plain characters. The interface renders it as structured, styled content first, headings, lists, bold text and syntax-highlighted code, and the clipboard receives that rendered form rather than the underlying markdown the model produced. This tool takes that pasted content and returns only the text a reader would see, with tags, attributes and script or style blocks removed in one pass.

The pass runs client-side, in JavaScript, in your own browser. There is no request sent to a server to log, queue or inspect, which is also why there is no run limit: nothing here costs anything to serve, so nothing is metered.

Nothing to configure, and no step that depends on network latency.

Step 1

Paste the copied ChatGPT reply into the input field.

Step 2

Run the strip. It executes instantly, on your own device.

Step 3

Read the output, checking for any unusual entity the pass left behind.

ChatGPT applies syntax highlighting to a code block before rendering it, which means each keyword, string literal and comment is wrapped in its own span with a class name attached, computed at render time, not written by the model. A copy of the block captures that rendered structure, so a short function can carry a span for nearly every token in it.

This is distinct from markdown fencing. The model's own output marks a code block with a language hint and nothing more; the nested spans are added by the interface's highlighter, which is why the volume of markup in a copied snippet has little relationship to the length of the code itself.

A tag is a structural instruction, an angle-bracket wrapper telling a renderer how a piece of text should display. An entity is a character encoded as text because the literal character would be ambiguous or unsafe to include directly: & for an ampersand, < and > for the angle brackets that would otherwise be read as the start of a tag.

This tool performs both operations in the same pass, but they are not the same operation. A ChatGPT reply can carry one problem without the other: a plain paragraph with a stray & from how the interface encoded it, or a code block with no entities at all but dozens of highlighting tags.

Four entities are decoded automatically:   to a normal space, & to &, and < and > to their literal angle brackets. Those four account for most of what breaks when ChatGPT's rendered output lands in a plain field.

Numeric entities and less common named entities are left exactly as written. If the reply used typographic punctuation encoded this way, check the output for stray entity codes still sitting in the text as literal characters.

It is a regex-based pass built around the common case of copied ChatGPT output, not a validating HTML parser. Genuinely malformed markup, or tag-like text sitting inside a code sample, can be read incorrectly. It does not remove zero-width spaces, non-breaking spaces or the other invisible characters a ChatGPT reply can carry, since those sit at the character level rather than the markup level. The ChatGPT zero-width space remover handles that separately.

Engineers pasting a ChatGPT code sample into a real file use it before the file will parse cleanly, since the highlighting markup would otherwise sit inside the source. Editorial and support teams moving a ChatGPT answer into a CMS or a ticketing system use it so markup does not surface as literal tags downstream.

Anyone quoting a ChatGPT paragraph for review or citation uses it to get the words without the span-wrapped formatting the interface added on render.