Various-Web-Text-Extraction-Methods

Sure! Here's a professional and clear README.md template for your project, assuming it's a command-line utility for extracting text from web pages and PDFs (including OCR support).

You can customize project name, author, and usage details as needed.

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# 📝 Text Extractor CLI

A command-line tool to extract readable text from:

- 🌐 Web pages (HTML)
- 📄 Online or local PDFs
- 📷 Scanned PDFs (using OCR)

Supports multiple extraction libraries like `pdfminer`, `pdfplumber`, `PyMuPDF`, `Goose3`, `Trafilatura`, and `Tesseract OCR`.

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## 🚀 Features

- Extract text from web URLs or local files
- Automatically handles PDF links
- OCR support for scanned PDFs
- Choose between multiple extraction engines
- Modular structure and easy to extend

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## 📦 Requirements

Install dependencies via `pip`:

```bash
pip install -r requirements.txt

OCR Support (Optional)

For OCR functionality using pytesseract, install:

• Tesseract OCR engine
• pdf2image and pillow for PDF-to-image conversion

For AWS Textract:

• Configure AWS credentials (e.g., via aws configure or environment variables)

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🛠️ Usage

Basic Examples

Extract from a web page:

python extractor.py --url https://example.com/article.html --extraction_method=goose3

Extract from a local PDF:

python extractor.py --file_path ./documents/file.pdf --extraction_method=pdfminer

Extract from a scanned PDF using OCR:

python extractor.py --file_path ./scans/scan.pdf --ocr --extraction_method=pytesseract --language=eng

Extract from an online PDF:

python extractor.py --url https://example.com/sample.pdf --extraction_method=PyMuPDF

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🔧 CLI Arguments

Argument	Description
--url	URL to a webpage or PDF
--file_path	Path to a local PDF file
--extraction_method	Method to extract text (pdfminer, pdfplumber, PyMuPDF, goose3, etc.)
--ocr	Enable OCR (for scanned PDFs; used with --file_path)
--language	Language code for OCR (default: eng)

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📁 Project Structure

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├── extractor.py                     # Main CLI script
├── utils.py                         # Utility functions (e.g., URL parsing)
├── web_text_extractors.py          # Web article/text extractors
├── web_pdf_text_extractors.py      # PDF and OCR extractors
├── requirements.txt                # Dependencies
└── README.md

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Here’s a requirements.txt file tailored to your project based on the extraction methods you've used (requests, pdfminer, pdfplumber, PyMuPDF, PyPDF2, pytesseract, pdf2image, Pillow, goose3, trafilatura, and optional AWS Textract support):

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🛠️ Additional System Requirements (outside pip)

Some libraries require system-level dependencies:

For pytesseract:

Install Tesseract OCR engine (not via pip):

• Ubuntu:

  sudo apt install tesseract-ocr

• Mac (Homebrew):

  brew install tesseract

• Windows: Download and install from https://github.com/tesseract-ocr/tesseract

Also, add Tesseract to your PATH.

For pdf2image:

You must have poppler installed:

• Ubuntu:

  sudo apt install poppler-utils

• Mac (Homebrew):

  brew install poppler

• Windows: Download from https://github.com/oschwartz10612/poppler-windows and add to PATH