Alternatives
Products that do what ChunkIT does
Turn any PDF into a RAG dataset for your AI bot
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Documind is an open-source tool that turns documents into structured data using AI. What it does: - Extracts specific data from PDFs based on your custom schema - Returns clean, structured JSON that's ready to use - Works with just a PDF link + your schema definition Just run npm install documind to get started.
2024 · github.com
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ChunkHound’s goal is simple: local-first codebase intelligence that helps you pull deep, core-dev-level insights on demand, generate always-up-to-date docs, and scale from small repos to enterprise monorepos — while staying free + open source and provider-agnostic (VoyageAI / OpenAI / Qwen3, Anthropic / OpenAI / Gemini / Grok, and more). I’d love your feedback — and if you have, thank you for being part of the journey!
Jan 2026 · github.com
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Hi HN, I'm a freelance developer, and I built SnazzyPDF in my spare time to solve a problem I encountered frequently: converting structured data into PDF documents. The existing solutions I found either required manually creating a template or forced you to transform your data into a specific structure. I wanted a tool where you could simply input arbitrary JSON data and get a decent-looking document out. That's why I built SnazzyPDF. * Works with any JSON: No need to restructure your data. SnazzyPDF handles (almost) any JSON data, including deeply nested arrays and objects. * Use REST API…
2024 · snazzypdf.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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