Convert PDF to Excel with Python
Learn how to convert PDF to Excel using Python libraries. Or skip the code and use AnyPDF for instant AI-powered conversion. AnyPDF uses AI to read your PDF pages and extract structured data — tables, text, and fields — into a clean spreadsheet you can download instantly.
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Upload your PDF and get an Excel file in seconds. No signup required.
Upload PDFHow AnyPDF solves this
1
Upload your PDF
Drag and drop any PDF document. We support bank statements, invoices, receipts, reports, and more — up to 10 MB.
2
AI extracts your data
Our AI analyzes each page — detecting tables, columns, rows, and fields automatically. Works with scanned and native PDFs.
3
Download your spreadsheet
Get your data as Excel (.xlsx), CSV, TXT, or DOCX. The file is ready for use in Excel, Google Sheets, or any spreadsheet software.
Frequently asked questions
How do I convert PDF to Excel in Python?
Libraries like tabula-py, camelot, and pdfplumber can extract tables from PDFs. For a no-code solution, use AnyPDF which uses AI for more accurate extraction.
What Python library is best for PDF to Excel?
tabula-py works well for simple tables, camelot handles complex layouts, and pdfplumber gives fine-grained control. Each has trade-offs in accuracy and ease of use.
Is there a faster way than writing Python code?
Yes. AnyPDF converts any PDF to Excel instantly using AI — no coding required. Just upload and download.