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User seeks reliable PDF to JSON conversion for LLM workflows

A user on r/LocalLLaMA is seeking the most reliable method for converting PDF documents into JSON format, particularly for documents with tables and occasional images. They are currently using PyMuPDF and pymupdf4llm to extract text and then feeding it to an LLM, but are encountering issues with hallucination and missing data for specific fields like dates, especially when multiple dates are present. The user is also looking for ways to reduce the processing time, which currently takes 5-7 minutes for 15-page documents, and is asking for alternative workflow suggestions. AI

IMPACT Users are exploring efficient methods for extracting structured data from documents using LLMs, indicating a need for improved tooling and techniques in this area.

RANK_REASON User query seeking advice on a technical workflow.

Read on r/LocalLLaMA →

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

User seeks reliable PDF to JSON conversion for LLM workflows

How we ranked this

Signal score
0 / 100
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Newsworthiness bucket
Commentary
User query seeking advice on a technical workflow.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
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AI-industry relevance
High
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Story freshness
125 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/CatSweaty4883 ·

    Most reliable way to do PDF to JSON?

    <!-- SC_OFF --><div class="md"><p>Hello everyone, I am currently stuck at automating a process where I need to parse medium-hard level documents with tables/ sometimes images, electronic PDF mostly. The documents range from 5 pages to 20 pages maximum, I currently am using PyMuPD…