PDF to Google Sheets

Why convert PDF to Google Sheets

PDFs are the format business data dies in. Invoices, bank statements, receipts, supplier lists, sales reports — they all arrive as polished, locked-down PDFs that you can read but can't analyse. Converting PDF to Google Sheets (or Excel) turns those static tables back into editable rows and columns so you can sort, filter, and run formulas on the data instead of retyping it by hand.

How AI extracts tables from PDFs

Modern AI doesn't just OCR a PDF — it understands structure. Sehnna's AI reads the PDF, detects table boundaries, identifies column headers, infers data types (dates, currency, text, numbers), and lays the result out as a clean spreadsheet. You upload the file, describe what you want ('one row per invoice line item, with date, description, quantity, unit price, and total'), and download a real .xlsx that opens cleanly in Google Sheets.

Documents that work well

• Invoices and receipts — turn them into a single expense tracker.
• Bank statements — convert months of transactions into one categorised sheet.
• Supplier or vendor lists — extract contact data into a working CRM.
• Sales reports — reshape PDF tables into pivot-ready data.
• Inventory lists and price sheets — keep an editable, sortable copy.
• Scanned forms — extract structured fields into one row per submission.

PDF to Google Sheets, step by step

• Start a new project in Sehnna and upload your PDF.
• Describe the structure you want — column names, one row per what, any fields to ignore.
• Preview the extracted table in the browser and ask for fixes ('split the address into city and zip', 'format dates as YYYY-MM-DD').
• Download the result as .xlsx — open it in Google Sheets via File → Import, or drag the .xlsx into Drive and save as Google Sheets.
• Share the new file with your team using Google Sheets' link sharing.

Why this beats the old manual flow

• No copy-paste from each page — one upload covers the entire document.
• Column types are detected, so dates and currency don't arrive as plain text.
• Multi-page tables are stitched together into a single sheet.
• AI can clean as it extracts — trim whitespace, normalise capitalisation, drop empty rows.
• You can iterate with prompts instead of editing cells one at a time.

Tips for the cleanest extraction

• Use the original PDF where possible — scans need an extra OCR pass and are less reliable.
• Tell the AI which column is the unique key (invoice number, transaction ID, SKU).
• Specify date and currency formats up front to avoid mismatched parsing.
• If the PDF has multiple tables, describe which one you want — or ask for one tab per table.