Extractify

Turn photos, screenshots, and PDFs into tables

Extract rows and columns from receipts, documents, shelf images, charts... Then review, edit, and export to CSV or Excel in seconds.

Examples of screenshots and shelf photos converted into structured tables

Bulk Image Uploads

Upload many files at once and process them in one flow.

AI-Powered Extraction

Extract product names, counts, prices, and more automatically.

Editable Structured Tables

Review and edit extracted rows before exporting.

How Extractify works

  1. 📷
    Step 1

    Upload photos, PDFs or screenshots — shelves, documents, receipts, trading cards, or any scene with readable information.

  2. 🔍
    Step 2

    Extractify reads text, numbers, and layout, and turns them into structured columns.

  3. 📊
    Step 3

    Review and edit rows in a clean table.

  4. 📥
    Step 4

    Export to CSV or Excel, or copy the data straight into your tools.

Extractify mobile flow: upload images with detection overlays, then view extracted data in a table and export

Review and edit extracted data before export

Extractify extraction examples

Upload a photo or screenshot and automatically pull out structured data such as:

  • Names, titles, and labels
  • Quantities, counts, and units
  • Prices, amounts, and currencies
  • IDs, SKUs, barcodes, and reference codes
  • Dates, categories, and tags (when visible)
  • Locations or positions in the image
  • Any other field — add a column with the name you want

Export instantly to Excel or CSV.

Example of labeled regions on product photos for data extraction

Choose a workflow

Extract structured data from screenshots, receipts, shelves, reports, charts, and more.

Batch uploadsEditable resultsCSV / Excel export

Get accurate results every time

Need a specific extraction workflow? We can help you create a custom template.

Shelf and supermarket recognition