
PDF Inspector Web UI
Parse PDFs to Markdown for AI Agents, in your browser
What it does
Turn PDFs into clean, structured Markdown entirely in your browser. Built with Firecrawl's Rust-based pdf-inspector compiled to WebAssembly, this zero-dependency app needs no backend, uploads, API key, or installation. Drag & drop a PDF, inspect document stats, preview Markdown, export JSON, and process files privately in milliseconds. Perfect for AI agents, RAG, LLM, and document-processing workflows.
Does the same job
all alternatives →
- DADoctly AI – Accurate AI-Powered PDF to Markdown Parser2024 · ▲7
I’m one of the co-founders of Doctly AI. I wanted to share our story. We didn’t originally set out to build a PDF-to-Markdown parser. It all started when we were building a RAG solution for a company that deals with regulatory agencies. All of their data was in PDFs, and as it is apparently with lawyers, they like to print and scan documents to make it hard on their counterparts. These documents contained complex tables that barely make sense, are rotated, and handwriting is mixed in between. Many pages are number ruled and potentially rotated. We spent a lot of time trying to get clean data…
- pdfmarkdown.appJul 2026 · pdfmarkdown.app · ▲1
Turn PDFs into AI-ready Markdown, right in your browser
- P5PDFly – 56 free PDF tools that run in the browserJul 2026 · pdfly.uk · ▲10
Hi HN! I built PDFly — a PDF toolkit that runs entirely client-side. No file uploads, no server processing, no account needed. It has 56 tools including merge, split, compress, convert, redact, compare, and an AI chat feature to ask questions about your PDF content. Everything runs in your browser using [mention your tech stack if relevant, e.g., WASM/JS libraries]. Would love feedback on the tools, UX, or anything else!

- AWA web service for converting markdown to PDF2020 · github.com · ▲6
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