How to Extract Tables From Images or Screenshots Using AI

Why Table Extraction Matters

Many important datasets live inside screenshots, scanned PDFs, or photos of printed reports. Manually retyping these tables into Excel takes time and introduces errors. AI-based table extraction can convert them into structured spreadsheets within seconds.

Step 1 – Capture or Collect the Table Image

Use a clear screenshot or scan:

• Zoom in so the table fills most of the image.
• Avoid capturing unnecessary UI elements around it.
• Keep the table straight and readable.

Step 2 – Upload to an AI Table Extractor

The easiest way to convert table images to Excel is via an online AI tool.

1. Open: Excel from Image (AI).
2. Upload your table image or screenshot.
3. Wait a few seconds while the AI analyzes rows, columns, and merged cells.
4. Preview the detected table and download it as Excel or CSV.

Unlike simple OCR, table-focused AI understands cell boundaries and preserves the original layout.

Step 3 – Clean Up the Data in Excel

After export, open the file in Excel or Google Sheets.

• Check numeric columns for extra spaces or symbols.
• Adjust column widths and formatting.
• Apply filters, charts, or pivot tables as needed.

Tips for Best Results

• Use high-resolution screenshots instead of zoomed-out photos.
• Avoid overlapping content such as watermarks or sticky notes.
• If the table spans several pages, process each page separately and then merge in Excel.

Use Cases for AI Table Extraction

• Financial reports and earnings tables
• Research result tables from academic PDFs
• Price lists and product catalogs
• Survey results and forms