Sygal
Convert any document to clean Markdown, 100% local
What it does
Sygal converts PDF, Word, Excel, images and web pages into clean Markdown and JSON, locally on your Mac or PC. One-time purchase, no subscription.
PDF, Word, Excel, images, scans, web pages, even YouTube links: Sygal converts them locally into clean Markdown and structured JSON, ready to drop into a prompt, a knowledge base or a pipeline. On scans, images and web pages in particular, that also means far fewer tokens for your AI. Drop a dense PDF, a spreadsheet or a screenshot. Sygal returns clean Markdown you can read, or JSON your pipeline can parse. PDF Q3_Financial_Report_2024.pdf Reading PDF Q3_Financial_Report_2024.pdf 3 pages · 2.4 MB Or paste a screenshot ⌘ V Why the output matters A raw file and clean Markdown aren't the same to an AI. Sygal normalizes every document into one clean, structured output your AI can actually work…from sygal.app
Does the same job
all alternatives →
- CAConvert a Markdown Doc to WordPress Posts and Pages2018 · scribewp.com · ▲47


- 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 · 16d 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 · 26d 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 · 16d ago · simedw.com