PulseAugur
EN
LIVE 16:46:05

LocalLLaMA users seek PDF preprocessing tools for better LLM input

Users on the r/LocalLLaMA subreddit are discussing methods for preprocessing PDF documents before feeding them into local large language models. The primary challenge highlighted is handling PDFs with complex layouts like tables and multi-column text, which often result in garbled input and poor model output quality. Participants are seeking recommendations for tools beyond basic libraries like PyMuPDF and pdfplumber, with specific interest in Docling and LlamaParse for more challenging documents. AI

IMPACT Users are exploring ways to improve the quality of data fed into local LLMs for document QA, aiming for better performance with complex document layouts.

RANK_REASON User discussion on a subreddit about tools and techniques for a specific AI application.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/TangeloOk9486 ·

    What are you using to preprocess pdfs before feeding them to a local model?

    <!-- SC_OFF --><div class="md"><p>I have been running a local setup for document QA and the output quality varies a lot depending on what the pdf looks like when it hits the LLM. clean prose docs are fine but anything with tables or multi column layouts comes out garbled and the …