Alternatives
Products that do what Ragify does
Make your PDFs RAG-ready
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The PDF parser is a rule based parser which uses text co-ordinates (boundary box), graphics and font data. The PDF parser works off text layer and also offers a OCR option to automatically use OCR if there are scanned pages in your PDFs. The OCR feature is based off a modified version of tika which uses tesseract underneath. The PDF Parser offers the following features: * Sections and subsections along with their levels. * Paragraphs - combines lines. * Links between sections and paragraphs. * Tables along with the section the tables are found in. * Lists and nested lists. * Join content…
2024 · github.com
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Hey HN, solo dev here. After years of frustration with how LLMs handle complex documents, especially PDFs with tables, I decided to build a solution myself. My approach uses a Markdown conversion step to preserve the table structure, which seems to work surprisingly well for chunking. This little parser is the first public piece of a much larger, privacy-focused AI platform I'm building. I'm pretty much running on fumes financially, so any feedback, critique, or support is massively appreciated. Happy to answer any questions about the approach!
Nov 2025 · github.com
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Highlight & summarize PDFs effortlessly with powerful tool
2024
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Got tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG. So I built piragi. from piragi import Ragi kb = Ragi(\["./docs", "./code/\*\*/\*.py", "https://api.example.com/docs"\]) answer = kb.ask("How do I deploy this?") That's the entire setup. No API keys required - runs on Ollama + sentence-transformers locally. What it does: - All formats - PDF, Word, Excel, Markdown, code, URLs, images, audio - Auto-updates - watches sources, refreshes in background, zero query latency - Citations - every answer includes sources…
Dec 2025 · pypi.org
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Nov 2025 · github.com
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Hey HN, I’m Julia, my team and I are building Rag-in-a-Box (https://www.joinable.ai/rag-in-a-box), hosted RAG service that let’s builders of any skill level launch their own RAG app loaded with their own data in minutes. [ What can you do ] 1. Load your documents (PDFs, CSV, PPTs, Word Docs, etc) and make them searchable instantly. All your data stays private and encrypted. 2. Choose latest open source LLM (Llama 4, Deepseek, GPT-oss, etc) to interact with your docs 3. Access your hosted RAG via API - build your own custom front end or integrate with your existing product…
2025 · joinable.ai
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Clean web content into AI-ready, useable markdown instantly
May 2026 · get-markdownly.vercel.app
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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…
2024
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Parse PDFs to Markdown for AI Agents, in your browser
Aug 2026 · aianytime.github.io
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I built this because I often need clean Markdown from PDFs for writing, documentation, and LLM workflows. Most existing tools either flatten everything into text or rely purely on OCR. I wanted something that preserves structure and is actually usable in Markdown. Feedback welcome.
Jan 2026 · pdftomarkdown.pro
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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!
Jul 2026 · pdfly.uk
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If you’ve generated PDFs from HTML, you’ll know the pain: headless Chrome in Docker, CSS hacks, content that flows over pages or table boundaries and other quality issues. The fundamental problem is that HTML was designed for screens, not print. We built Press, a markup-based document language where pages, content flows, and assets are first-class concepts. Content can flow across frames, columns, and pages without manual pagination. Pages are created dynamically based on the available content. Press templates separate layout from content. You can send markdown, Press markup, or a mixture of…
Jun 2026
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RAG Web UI is designed to be the most straightforward way to build your own knowledge-based Q&A system. While other RAG (Retrieval-Augmented Generation) projects might be complex, we focus on making it super easy to understand and use. Why It's The Most Beginner-Friendly: Simple Document Management - Just upload your documents (PDF, DOCX, Markdown, Text) - System handles all the complex processing automatically - No need to worry about document chunking or vectorization - Documents update automatically in the background Easy-to-Use Chat Interface - Ask questions in plain language - Get…
2025 · github.com
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