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from langchain_community.document_loaders import PyPDFLoader | |
import os | |
from typing import List | |
class PDFProcessor: | |
""" | |
Class for processing PDF files to extract text content. | |
""" | |
def extract_text_from_pdfs(self, file_paths: List[str]) -> List[str]: | |
""" | |
Extract text content from a list of PDF files. | |
Args: | |
file_paths (List[str]): A list of file paths to the PDF documents. | |
Returns: | |
List[str]: A list of text content extracted from the PDF documents. | |
""" | |
texts = [] | |
for file_path in file_paths: | |
try: | |
loader = PyPDFLoader(file_path) | |
pages = loader.load_and_split() | |
for page in pages: | |
if isinstance(page.page_content, bytes): | |
text = page.page_content.decode('utf-8', errors='ignore') | |
elif isinstance(page.page_content, str): | |
text = page.page_content | |
else: | |
print(f"Unexpected type: {type(page.page_content)}") | |
continue | |
texts.append(text) | |
except Exception as e: | |
print(f"Failed to process {file_path}: {e}") | |
return texts |