Summary of Reddit Comments on the Query "best pdf parser llm"

Microsoft Document Intelligence

Works best with old poorly scanned legal documents.
Good option for classified documents.

Unstructured

Offers wide support for different document types.
Provides chunking capabilities.
Can be used for HTML parsing but results may not be good for PDFs.

LlamaParse

Preferred by some users for its versatility in parsing various document types.
Can extract information from comic books.

Other Tools

Trafilatura: Recommended for web extraction, especially for its Python-based approach.
AutoGPT: Mentioned as a tool worth trying for the specific task.
Camelot: Recommended for better table extraction.
Azure AI Document Intelligence: Known for identifying and extracting tables efficiently.
Amazon Textract: Suggested for cost-effective PDF extraction.

Mentioned But Not Elaborated On

RAGFlow
Marker
Open Parse
MuPDF
textract
Aryn Partitioning Service
LASHERPA

General Advice

Consider tools like Jina AI's Reader API for pre-processing PDFs before inputting them into LLMs.
Opt for Azure Document Intelligence for table extraction.
Look into Adobe API for extracting a limited number of PDFs per month for free.

Notable Comments

One user mentions the need to break PDFs into chunks for effective processing with LLMs.
Another user highlights challenges with ChatGPT in generating correct references to PDF content.
There are mentions of local models and code repositories for PDF parsing with LLMs.
Users discuss the importance of context understanding and entity extraction in PDF parsing tasks.

The comments cover a range of tools like Microsoft Document Intelligence, Unstructured, LlamaParse, and others, providing insights into their capabilities and user experiences. Additional advice, challenges, and tools are discussed, offering a comprehensive overview of PDF parsing options using LLM and related technologies.