pdf-text-image-xtract 0.2.0

A package for extracting images, texts and tables from pdfs

PDF Text, Tables & Image Extractor

A robust Python-based utility designed to extract text, tables, and images from PDF documents. This tool supports both local file systems and Amazon S3, utilizing multi-threading to speed up the extraction process.

🚀 Features

• Hybrid Storage Support: Seamlessly process PDFs from local paths or S3 buckets (s3://...).
• Comprehensive Extraction:
  • Text: Full-page text extraction.
  • Tables: Structured table data.
  • Images: High-fidelity image extraction.
• Multi-threaded Performance: Extracts text and images in parallel to significantly reduce processing time.
• Cloud Ready: Built-in methods to save results directly back to S3 as JSON, Markdown and PNG files.
• PDF type Detection Can detect if a pdf is a scanned pdf with no text overlay

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🛠 Installation

1. Install using pip

pip install pdf_text_image_xtract

Basic Example Usage

from pdf_text_image_xtract import PDFTextImageExtractor

# Initialize the extractor with a local path
extractor = PDFTextImageExtractor("documents/report.pdf")

# Process the PDF (runs text and image extraction in parallel)
extractor.process()

# Save results to local disk
extractor.save_text_data_to_json("output/data.json")
extractor.save_images_to_disk("output/extracted_images")

Cloud Example (AWS S3)

from pdf_text_image_xtract import PDFTextImageExtractor

# Initialize with an S3 path
s3_path = "s3://my-bucket/input/document.pdf"
extractor = PDFTextImageExtractor(s3_path)

# Extract data
extractor.process()

# Upload results directly back to S3
extractor.save_text_data_to_json_s3(
    bucket_name="my-bucket",
    object_key="results/text_data.json",
)

extractor.save_images_to_s3(
    bucket_name="my-bucket",
    folder="results/images",
)