ShotToSheet

How to extract a table from a supplier price list image

Last updated September 2026

To extract a table from a supplier price list image, upload the photo or screenshot to an AI table extraction tool, which reads the SKU, description, price, and MOQ columns into real spreadsheet rows. Review prices and codes against the original — a misread digit on a price list is the costliest kind of error — then export to Excel or CSV for sorting and comparison.

  1. 1

    Get the image, however it arrived

    A WhatsApp or WeChat photo, a PDF attachment, an emailed screenshot — the source format doesn’t matter, only that the table is visible and not cropped.

  2. 2

    Upload it to an extraction tool

    The AI detects the grid — SKU, description, unit price, MOQ, whatever columns the supplier used — and rebuilds it as structured rows.

  3. 3

    Check SKUs and prices specifically

    A code with a leading zero or an unusual character set is more likely to be misread than a plain word, and a price is the single costliest cell to get wrong — check both first.

  4. 4

    Export to Excel or CSV

    Excel if you want it formatted and ready to work in directly; CSV if it’s going into a pricing sheet or system that expects plain rows.

  5. 5

    Sort and compare

    With the list as real data instead of a photo, you can sort by price, filter by category, or paste it alongside a previous quote to see what changed.

A real example: comparing three suppliers

An ecommerce seller gets price lists from three suppliers over the course of a week — one as a WhatsApp photo, one as a screenshot of a spreadsheet, one as a PDF attachment. None of them arrive as an editable file, and manually retyping three lists just to compare prices on the same SKUs would eat most of an afternoon.

Each one goes through the same extraction step instead, and comes back as a consistent table: SKU, description, price, MOQ. Pasted into one sheet, the three suppliers sit side by side, sortable by price per SKU — the comparison that was the actual goal, done in minutes instead of an afternoon of retyping.

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Frequently asked

No — all three go through the same extraction step and come back as the same structured table.

Each is read on its own — the AI detects whatever columns are actually present in that specific image, rather than expecting a fixed template.

Clean, typed price lists are read reliably. Because a misread price is the costliest kind of error, it’s worth a specific check against the original before you act on the numbers.

Extract each separately, then paste the resulting rows into one spreadsheet — the tool itself converts one image at a time.