Structured PDF Text Extraction

I have a PDF made up of clearly defined headings, tables, and ordered paragraphs. I need every single character of that document—no sections skipped or summarized—pulled out into clean, machine-readable plain text so I can feed it straight into my data-analysis pipeline.

Because the file is well-structured, I expect the extractor you choose—whether it’s Python with PyPDF2 or pdfplumber, Adobe SDK, or any other reliable library—to preserve logical reading order and keep table rows intact (tabs or simple delimiters are fine). I do not need formatting, styling, or images; just the raw text captured exactly as it appears.

Deliverables:
• One UTF-8 .txt file containing the complete document text, line-wrapped naturally.
• A brief note on the tool or script you used so I can reproduce the process if the PDF is updated later.

Acceptance criteria:
• 100 % of the content present (headings, paragraphs, table entries, footers, headers).
• No OCR artefacts or garbled characters.
• Text ready for copy-paste into analytical software without additional cleanup.

If you have experience handling structured PDFs and can turn this around accurately, I’m ready to get started.