Markitdown Online
Convert any file to clean Markdown for AI.
What it does
Markitdown Online is an independent hosted converter that turns PDFs, Word, PowerPoint, Excel, HTML, CSV, images, audio, JSON, XML, and URLs into clean Markdown for AI workflows. Preserve headings, tables, lists, links, and formatting, with OCR for scanned documents. Start in your browser with no Python installation or account required; free to try, with Pro for larger files and batch conversion.
Does the same job
all alternatives →- IMI made a tool to clean and convert any webpage to Markdown2024 · markdowndown.vercel.app · ▲441
My partner usually writes substack posts which I then mirror to our website’s blog section. To automate this, I made a simple tool to scrape the post and clean it so that I can drop it to our blog easily. This might be useful to others as well. Oh and ofcourse you can instruct GPT to make any final edits :D
- FOFree Online Tool to Experience Microsoft's MarkItdown2024 · markitdown.pro · ▲15
Convert Anything to Markdown4d ago · anyto.md · ▲7Convert URLs, PDFs, Office files, HTML, and images to AI-friendly Markdown. Save tokens, get fast API responses, and search your conversion audit log.
- MCMarkdownConverters – Convert any file format to clean MarkdownOct 2025 · markdownconverters.com · ▲9
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…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com