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62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
from pdfminer.high_level import extract_pages
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from pdfminer.layout import LTChar
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def extract_chars_with_transforms(pdf_path, page_num=0):
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"""
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Extract characters with transformation data for a specific page in a PDF.
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Args:
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pdf_path (str): Path to the PDF file
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page_num (int): Page number to extract (0-indexed)
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"""
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print(f"Analyzing PDF: {pdf_path}, Page: {page_num + 1}")
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char_count = 0
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# Extract only the specified page
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for i, page_layout in enumerate(extract_pages(pdf_path)):
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if i == page_num:
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print(f"Processing page {page_num + 1}")
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# Recursively process all elements
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def process_element(element, level=0):
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nonlocal char_count
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indent = " " * level
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if isinstance(element, LTChar):
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char = element.get_text()
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matrix = element.matrix
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font = element.fontname if hasattr(element, "fontname") else "Unknown"
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size = element.size if hasattr(element, "size") else "Unknown"
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print(f"{indent}Character: '{char}'")
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print(f"{indent}Transform Matrix: {matrix}")
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print(f"{indent}Font: {font}, Size: {size}")
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print(f"{indent}{'-' * 30}")
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char_count += 1
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# For container elements, process their children
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if hasattr(element, "_objs"):
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for obj in element._objs:
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process_element(obj, level + 1)
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# Process all elements in the page
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for element in page_layout:
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process_element(element)
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break # Stop after processing the requested page
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print(f"\nTotal characters extracted: {char_count}")
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if char_count == 0:
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print("No characters were extracted. This could mean:")
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print(f"1. Page {page_num + 1} doesn't exist or is empty")
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print("2. The PDF contains scanned images rather than text")
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print("3. The text is embedded in a way PDFMiner can't extract")
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# Usage
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pdf_path = "/Users/kylel/Downloads/olmOCR_Technical_Report_COLM_2025.pdf"
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extract_chars_with_transforms(pdf_path)
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