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AI · alternatives · 2026

24 alternatives to Open-source Rule-based PDF parser for RAG

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…

Open-source Rule-based PDF parser for RAG is a rule-based PDF parser designed for retrieval-augmented generation applications. It extracts structured content from PDFs by analyzing text coordinates, graphics, and font… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Open-source Rule-based PDF parser for RAG launched in 2024; newer entries below may have overtaken it.

  1. 1

    The first LLM for document parsing with accuracy and speed

    2024 · cambioml.com · its alternatives →

  2. 2

    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 →

  3. 3

    Open-source Document Parser to Markdown with OCR/LLMs

    2024 · megaparse.com · its alternatives →

  4. 4

    Hey HN, we’re Adi and Arnav. A few months ago, we hit a wall trying to get LLMs to answer questions over research papers and instruction manuals. Everything worked fine, until the answer lived inside an image or diagram embedded in the PDF. Even GPT‑4o flubbed it (we recently tried O3 with the same, and surprisingly it flubbed it too). Naive RAG pipelines just pulled in some text chunks and ignored the rest. We took an invention disclosure PDF (https://drive.google.com/file/d/1ySzQgbNZkC5dPLtE3pnnVL2rW_9...) containing an IRR‑vs‑frequency graph and asked GPT “From…

    2025 · github.com · its alternatives →

  5. 5

    Parse multi-language images and documents into JSON/markdown

    2025 · cambioml.com · its alternatives →

  6. 6

    Docparser helps you extract important data from Word, PDF, CSV, XLS, TXT, XML, and image files. Send to Excel, Google Sheets, and 100s of apps.

    2016 · docparser.com · its alternatives →

  7. 7

    Hi, I've just finished a rebuild of this function and added a lot of new features: info, page index, minimap, inverted index,... I think it may be useful for inspection, debugging or just as a learning resource showcasing the PDF file format. This is a pet project and I would be happy to receive some feedback! Regards

    2025 · github.com · its alternatives →

  8. 8

    Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…

    2024 · github.com · its alternatives →

  9. 9
    Parsers▲300

    Extract structured data and visualize it without code

    2019 · parsers.me · its alternatives →

  10. 10
    AnyParser▲271

    Accurate, private and configurable document retrieval LLM

    2024 · cambioml.com · its alternatives →

  11. 11

    📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. - majcheradam/ocrbase

    Jan 2026 · github.com · its alternatives →

  12. 12OS

    Complete AI Platform: RAG Systems & Intelligent Agents for Local AI

    2025 · rlama.dev · its alternatives →

  13. 13RI

    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 · its alternatives →

  14. 14PA
  15. 15PD

    A tool to debug PDF files

    2023 · pdf.hyzyla.dev · its alternatives →

  16. 16

    RAG pipeline with PDF OCR, vector search and chat UI

    2025 · github.com · its alternatives →

  17. 17

    Not all improvements come from adding complexity — sometimes it's about removing it. PageIndex takes a different approach to RAG. Instead of relying on vector databases or artificial chunking, it builds a hierarchical tree structure from documents and uses reasoning-based tree search to locate the most relevant sections. This mirrors how humans approach reading: navigating through sections and context rather than matching embeddings. As a result, the retrieval feels transparent, structured, and explainable. It moves RAG away from approximate "semantic vibes" and toward explicit reasoning…

    2025 · github.com · its alternatives →

  18. 18

    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 →

  19. 19

    Fast & Accurate Question-Answering on Complex PDFs

    2025 · thirdaiautomation.com · its alternatives →

  20. 20
    PDFZero▲100

    Advanced PDF tools to make your job easier

    2019 · pdfzero.com · its alternatives →

  21. 21
    Scanlt▲103

    PDF & document scanner, ads-free, smart PDF converter

    2024 · apps.apple.com · its alternatives →

  22. 22PP
  23. 23

    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 · its alternatives →

  24. 24QP

    Hey HN! We've just launched Quilt, a robust RAG (Retrieval-Augmented Generation) UI that revolutionizes how you interact with your documents. Key features: - Multi-user setup with private/public document collections - Advanced hybrid RAG pipeline combining full-text & vector search - Smart citations with in-browser PDF preview and highlights - Fully customizable settings and prompts through the UI Making an account is free, no need to even use a strong password: this is only to ensure your documents are separate from the rest. We're keen to hear your thoughts and feedback. What features…

    2024 · quilt.fly.dev · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →