Converting PDFs to Google Sheets is crucial for extracting and analyzing data from various sources. While Google Docs can be used as an intermediary, converting PDFs to CSV files using online converters or add-ons like Table OCR provides more effective solutions. Using Adobe Acrobat Reader with OCR capabilities can also convert PDFs into XLSX format, suitable for high-volume documents. Open-source tools such as Excalibur and Python libraries like gspread and camelot-py offer flexible alternatives for automating data extraction and processing tasks. Combining Large Language Models (LLMs) with OCR and automation tools enables businesses to automate data extraction and analysis tasks, potentially saving time and effort while leveraging the capabilities of AI models. Advanced OCR and intelligent data capture solutions can handle high volumes of complex documents, but require careful planning, investment, and ongoing maintenance. Troubleshooting common conversion issues is essential for achieving accurate results. By exploring various methods and tools, users can find the best approach for their specific needs and unlock the full potential of their PDF data.