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AI · alternatives · 2026

24 alternatives to Built a tool solve the nightmare of chunking tables in PDF vs. Markdown

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!

This tool helps developers chunk PDF documents while preserving table structure, a common problem when processing complex files with language models. It converts PDFs to Markdown format to maintain table integrity… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...

    2024 · embedding.io · its alternatives →

  2. 2

    I've developed a Python API service that uses GPT-4o for OCR on PDFs. It features parallel processing and batch handling for improved performance. Not only does it convert PDF to markdown, but it also describes the images within the PDF using captions like `[Image: This picture shows 4 people waving]`. In testing with NASA's Apollo 17 flight documents, it successfully converted complex, multi-oriented pages into well-structured Markdown. The project is open-source and available on GitHub. Feedback is welcome.

    2024 · github.com · its alternatives →

  3. 3
    PDF Dino▲155

    Extract structured tables from messy PDFs using AI. Export to Excel, CSV, or JSON. Try 20 pages free—no credit card needed.

    2025 · pdfdino.com · its alternatives →

  4. 4

    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 · its alternatives →

  5. 5

    Improved file parsing for LLM’s. Contribute to Filimoa/open-parse development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  6. 6

    Free PDF tools, merge, split, compress, compress, rotate etc

    2023 · pdf.ai · its alternatives →

  7. 7

    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 · its alternatives →

  8. 8

    Rank a list of documents according to their relevance to a query primarily and your custom instructions secondarily. We evaluated the model on instructions for recency, document type, source, and metadata, and it can generalize to other instructions as well. The reranker supports multilinguality. Th

    2025 · docs.contextual.ai · its alternatives →

  9. 9

    Markdown conversion tool for the AI era.

    2025 · chromewebstore.google.com · its alternatives →

  10. 10

    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…

    2025 · markdownconverters.com · its alternatives →

  11. 11DA

    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 · its alternatives →

  12. 12IB

    Hello It's been quite frustrating to find an online tool that will easily extract tables from PDFs. So I built one. https://www.tablex.dev Hope you enjoy it.

    2023 · its alternatives →

  13. 13

    Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…

    2024 · github.com · its alternatives →

  14. 14

    Hey HN, Sharing a web app I built for converting PDFs to Markdown. I was tired of broken tables and formulas, so I focused on making sure those elements (along with headings and text) convert cleanly. Features: Preserves headings, text flow, formulas, and table structure. Online editor for post-conversion tweaks. Doesn't store your PDF content or generated Markdown (privacy focused). Try 10 pages anon, or 50 pages/month free when logged in. (Unlimited plans available, same quality). It's live here: https://pdftomarkdown.pro/ Let me know if you have any feedback or run…

    2025 · pdftomarkdown.pro · its alternatives →

  15. 15
    PDF2MD▲51

    Convert your PDFs to markdown With AI OCR

    2024 · its alternatives →

  16. 16

    I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful. so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section. it feels like having a lightweight…

    2025 · github.com · its alternatives →

  17. 17PP

    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 · its alternatives →

  18. 18PT

    Hi HN! I'm proud to share that we've launched a free PDF-to-Markdown CLI built on our proprietary (you might know it from PSPDFKit) engine. Most extractors are either fast but lose structure (markitdown, pymupdf4llm) or accurate but slow (docling). Ours ties with docling on accuracy but is orders of magnitude faster. https://github.com/pspdfkit/pdf-to-markdown We'd love feedback on it, and ofc send us files that break it.

    Apr 2026 · its alternatives →

  19. 19

    A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents. - messkan/rag-chunk

    Nov 2025 · github.com · its alternatives →

  20. 20

    If you just want to use it, try here - https://pdf2md.trieve.ai . I think the LLM's are astoundingly good at converting complex powerpoint style infographics. I wouldn't normally think folks on HN would find this interesting as the general concept has been posted about already in the past few months. We were heavily inspired by Zerox[1]. However, the stack we went with was fun and over-engineered which is more likely to create interesting discussion. We use all the same tools at Trieve (our main product), but wanted to see if they would be a good fit for something that needed to…

    2024 · github.com · its alternatives →

  21. 21

    Hi everyone, my cofounder and I built Dera - a platform to help manage chunks and embeddings. We built this because of the pain points we experienced while building RAG applications for side projects. The biggest pain point we encountered was that we were constantly trying out different chunking strategies, but there’s no easy way to check how the strategies are performing in terms of retrieval when given the same query. We tried searching for a tool for this but couldn’t find any (most LLM dev tools focus on prompts management). We hope this tool will be useful for people building RAG apps.…

    2024 · getdera.com · its alternatives →

  22. 22

    Improved file parsing for LLM’s. Contribute to Filimoa/open-parse development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  23. 23

    Hi, I'm building an open-source self-hostable document extraction tool powered by LLM. There are popular data extraction tools and OCR tools in the market. None of them are open source. Most accounting firms, law firms, insurance, back office, and real-estate folks would like to use a tool like this. You can add PDF documents, Images, and audio files and create columns to answer questions on documents or extract information into tabular format. Access to repo: https://github.com/harishdeivanayagam/rowfill Screenshots:…

    2025 · github.com · its alternatives →

  24. 24AW

    Hey, I've made a pdf reader with ai assistance, you can quickly ask questions about the text and the images, and it will have context about all of your reading material so you can ask questions freely, try it now, I'm in open beta to find bug and get feedback. upcoming features: - Highlighting - Highlighting with Notes - Bibliography - Automatic Reference file opening - Improved UX and robustness currenlty alot of bugs so please let me know if you found any. feedback appreciated

    2025 · pdf-hub.com · its alternatives →

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