How to Automate PDF Data Extraction Using Python
SMRTR summary
PDFs trap valuable business data in static files, making manual extraction slow and error-prone at scale. Python libraries like pdfplumber, Camelot, and pytesseract can automate the entire pipeline — from extracting text and tables to handling scanned documents with OCR — and export clean, structured data into Excel or CSV formats ready for analysis.
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