Count tags, headings, frequent attributes and common accessibility issues without rendering the HTML in the browser.
As HTML grows, it becomes easy to lose track of the real structure of the page. This tool performs a structural read of the markup: it uses an HTML parser to rebuild the element tree and then counts how many tags exist, which ones are most frequent, how many headings there are and in what order they appear, plus the most repeated attributes. From that tree it also flags common accessibility and technical-SEO issues, such as images without an alt attribute, links without href and empty headings. All of this helps detect too many wrappers, bloated markup and repeated patterns that hurt maintainability, accessibility and performance. The analysis is 100% local: the HTML is only parsed, never rendered, so scripts are not executed and nothing is sent to a server.
Parsing and rendering are different things. Rendering means building the page, downloading resources and running scripts; parsing is only reading the markup and rebuilding the element tree (the logical DOM) it describes. This tool does only the second part: it walks that tree and counts what it finds, without ever inserting the content into the page or executing a single <script>.
From that tree, the tool computes a set of structural metrics that summarize the health of the markup. At a glance they show whether the page is bloated with wrappers, whether the heading hierarchy makes sense and whether there are accessibility gaps that would go unnoticed by looking at the layout alone.
Example 1, a broken heading outline. If the page jumps from an <h1> straight to an <h3>, with no <h2> in between, the outline shows the skip. That confuses screen readers and weakens SEO, because the hierarchy stops communicating how the sections relate. Seeing the headings listed in order makes this kind of gap obvious before you publish.
Example 2, "div soup" and images without alt. When <div> tags dominate the count and there are few semantic tags (header, main, nav, section), it signals bloated markup that is hard to maintain. At the same time, the count of images without alt points to exactly which informative <img> elements need alternative text, one of the most recurring items in any accessibility audit.
The tool works on whole pages as well as components, fragments and partial templates: in any of them it exposes repetitive patterns and structural imbalances. It's a good step before integrating a template or reviewing a front-end pull request.
The limit is one of scope: this is a light structural read, not a full SEO or accessibility audit. It does not evaluate title, meta tags, canonicals, contrast, performance or content context, and not every warning is an error, an empty alt, for example, is correct for purely decorative images. All analysis runs locally, and the exported JSON report contains only the analytical summary, never your raw HTML.
Paste the code into your HTML and the tool shows up on your page, without J-Kit's navigation and ads. It still runs in the browser of whoever visits your site.
<iframe
src="https://jkit.tools/embed/en-US/html-tag-counter"
width="100%"
height="600"
style="border:0"
loading="lazy"
title="HTML Tag Counter"
></iframe>These references help contextualize formulas, standards, APIs and limitations used on this page. They do not replace professional validation when a result has legal, financial, medical or operational impact.
No. The HTML is only parsed to build the element tree and count the structure, it is never inserted into the page DOM or rendered. As a result, any <script> in the markup is treated as text and never executed, which makes it safe to paste third-party HTML. All analysis happens locally in your browser.
No structure has been detected yet.
No structure has been detected yet.
No headings were found in the analyzed HTML.
No images without alt text were detected.
No links were detected.
Structural analysis runs locally. The HTML is not sent to the server and is not rendered to execute scripts.