PDFs are a popular file format for viewing and preserving data, but extracting data from them can be challenging. To overcome this, PDF documents are often converted to CSV (Comma-Separated Values) format, which is easier to edit, manipulate, and analyze. Data in CSV files is presented in a structured format with each line representing a row of data and commas separating individual values within each row. CSVs are compatible across most spreadsheet tools, databases, and statistical analysis software, making them a widely accepted format for data exchange. Various methods exist for converting PDF files to CSV, including using Adobe Acrobat, Google Docs, online converters like Zamzar or Convertio, Python libraries such as tabula-py and camelot, and conversational LLMs like Claude AI or ChatGPT. These methods offer different levels of complexity and control over the conversion process, allowing users to choose the most suitable approach for their specific needs.