Alternatives
Products that do what Website to Markdown API does
Turn any website into LLM-ready Markdown
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2018 · github.com
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Hey HN I built MarkdownConverters.com — a tool that converts any file format (PDF, DOCX, PPTX, HTML, or URL) into clean, structured Markdown. I often needed to prep documents, reports, or scraped pages for AI pipelines, documentation, or version control, but existing tools either broke formatting, lost code blocks, or produced unreadable Markdown. So I built something that focuses on: • Accurate structure (headings, lists, tables, code, links) • Consistent Markdown output ready for LLMs or docs • Fast, browser-based conversion with privacy-friendly processing • Support for multi-format and…
Oct 2025 · markdownconverters.com
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2018 · markdownguide.org
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I recently saw a post from the Vercel CEO pointing out that LLMs understand websites much better when they can request: `Accept: text/markdown` Most websites today are built for humans. When AI agents try to consume them, they get complex HTML instead of clean, structured content. So I built *accept-md* – a simple open-source package for Next.js that helps solve this. Getting started is intentionally minimal: ``` npx accept-md init ``` After that, your existing Next.js routes can automatically respond with Markdown whenever an AI agent (or any client) requests it. No redesigns, no CMS…
Feb 2026 · accept.md
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Hey HN! We realised that LLMs are great at generating code for super popular libraries like React. But they kinda suck at using less popular/newly released libraries, forcing us to stick to established tools and hindering innovation. There is already a standard for creating documentation for LLMs (llmstxt.org), but in my experience the implementations have not been great so far. `llms.txt` works as a good index of the available pages, but in many cases they link to HTML pages. This is a waste for LLMs to parse through (For example, Hono's [best…
2025 · github.com
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We built a browser extension (Chrome + Firefox) that captures the runtime DOM and exports it as JSON. Not the pre-render source (HTML/CSS/JS, templates, bundles) and not a screenshot — but the live, post-render state the browser is actually displaying: - visibility/hidden, disabled/required - current input values and validation/validationMessage - dataset attributes - trimmed text - stable selector paths Why: LLMs often miss or guess UI state. Screenshots are too opaque, pre-render source is too noisy. A structured snapshot gives reproducible context for debugging…
2025
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Bulk-convert HTML to Markdown for AI — private, in-browser
26d ago · html-to-markdown-ai.com
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2022 · github.com
- 22LM
This app is demonstrating how to support rich-text (markdown) in LLM responses (OpenAI in this case). It's a Nextjs app, with Vercel AI, and remark for handling the formatting.
2023 · llm-markdown.vercel.app
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For those who are interested in ChartHN's tech stack, here's a brief list: - HTML to markdown: Jina AI Reader - Markdown to Graphviz DOT: LLMs - Graphviz DOT to SVG: Viz.js - Data Storage: TSV files - Document updating: GitHub Actions - Frontend: HTML + CSS + Vanilla JS There are also side tools linked at the bottom of the ChartHN page: - a web tool to convert any page to a diagram - a visual benchmark to compare the performance of LLMs in generating Graphviz DOT data To fit Graphviz DOT data within a TSV file and reduce file size, I have also developed dot-minify…
2025 · cxumol.github.io
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