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How to use LlamaParse for PDF parsing

Q: How to use LlamaParse for PDF parsing

Use LlamaParse by installing its Python package and leveraging its PDF loader to extract text from PDFs easily. Initialize the PDFLoader to load and parse PDF documents into structured text for downstream AI tasks.

Quick answer

Use LlamaParse by installing its Python package and leveraging its PDF loader to extract text from PDFs easily. Initialize the PDFLoader to load and parse PDF documents into structured text for downstream AI tasks.

PREREQUISITES

Python 3.8+
pip install llamaparse
Basic knowledge of Python file handling

Setup

Install llamaparse via pip and prepare your environment to parse PDFs.

bash

pip install llamaparse

Step by step

Use LlamaParse to load and parse a PDF file into text. The example below demonstrates loading a PDF and printing its extracted content.

python

from llamaparse import PDFLoader

# Initialize the PDF loader with the path to your PDF file
loader = PDFLoader("sample.pdf")

# Load and parse the PDF document
documents = loader.load()

# Extract and print text content from all pages
for i, doc in enumerate(documents):
    print(f"Page {i + 1} content:\n", doc.page_content)

output

Page 1 content:
This is the text extracted from page 1 of the PDF.

Page 2 content:
This is the text extracted from page 2 of the PDF.

Common variations

You can customize PDFLoader to parse specific page ranges or convert PDFs to other formats before parsing. Async parsing is not currently supported. For large PDFs, consider chunking the text after loading.

python

from llamaparse import PDFLoader

# Load only pages 1 to 3
loader = PDFLoader("sample.pdf", page_numbers=[0, 1, 2])
documents = loader.load()

# Process documents as needed
for doc in documents:
    print(doc.page_content[:200])  # Print first 200 characters

output

First 200 characters of page content...

Troubleshooting

If you get a FileNotFoundError, verify the PDF file path is correct.
If text extraction is empty, check if the PDF is scanned or image-based; OCR preprocessing may be required.
For encoding issues, ensure your environment supports UTF-8.

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Key Takeaways

Install llamaparse to parse PDFs easily in Python.
Use PDFLoader to load and extract text from PDF pages.
Customize page ranges to parse only parts of large PDFs.
Check file paths and PDF content type if extraction fails.

Verified 2026-04

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