The Data Source You're Ignoring in Excel: Images and Screenshots

You finish a meeting, snap a photo of the whiteboard table. A supplier emails a scanned price list as a JPG. Your colleague sends a screenshot of last quarter's numbers from the company portal you can't log into. What do you do next?

If your answer is "open Excel and start typing", you're not alone — but you're spending time you don't have to spend.

Why Images Are a Surprisingly Rich Data Source

Most people think of Excel data as coming from databases, CSV exports, or manually built sheets. But a huge share of the structured data that actually circulates in day-to-day business life arrives as:

• Screenshots from web portals or dashboards
• Photos of printed tables, invoices, or receipts
• Scanned documents sent as JPG or PNG attachments
• Images embedded in PDFs or slide decks

These aren't edge cases — they're routine. The problem is that most tools treat images as images, not as data. So the information stays locked inside pixels, and someone has to manually transfer it into a spreadsheet.

The average office worker spends nearly 20% of their time searching for or re-entering information that already exists somewhere else. Images are a major culprit.

The Real Cost of Manual Re-Entry

It's easy to underestimate how much time this eats up. A single receipt photo might take two minutes to type out — no big deal. But multiply that by 50 receipts a month, or 200 line items on a scanned purchase order, and it adds up fast. Worse, manual entry introduces errors. A transposed digit in a price column or a missed row in a supplier table can cause downstream problems that take far longer to fix than the original data entry.

There's also a subtler issue: because re-typing is painful, people often skip it entirely. Data that should inform decisions ends up ignored, and the image sits in a folder never contributing to anything.

A Cleaner Way: Let AI Read the Image for You

This is exactly the kind of repetitive, pattern-recognition task that AI handles well. Modern AI can look at an image — whether it's a crisp screenshot or a slightly blurry phone photo of a printed table — identify the rows and columns, and output clean, structured data ready for Excel.

Tablola's Image to Excel preset is built for this workflow. You upload your image (JPG, PNG, or even a photo taken on your phone), and Tablola's AI extracts the table data and delivers it as a properly formatted spreadsheet. No plugins, no scripting, no paid desktop software.

The same logic applies to scanned PDFs — documents that look like PDFs but are really just images of pages. Standard PDF-to-Excel converters fail on these because there's no selectable text layer. Tablola handles them with the same image-reading approach. If you work with scanned supplier documents or archived records, the scanned PDF to Excel preset is worth bookmarking.

What Kinds of Images Work Well?

In practice, Tablola handles a wide range of image types effectively:

• Screenshots of tables from web portals, dashboards, or software interfaces
• Photos of printed documents — invoices, delivery notes, price lists
• Scanned pages sent as image files or image-based PDFs
• Receipt photos taken on a smartphone

For receipts specifically, there's a dedicated receipt photos to Excel preset that's already tuned to handle the typical layout of receipt data — vendor, date, line items, totals — and map them cleanly into columns.

What About Multiple Images at Once?

If you have a stack of images — say, a month's worth of supplier invoices or a batch of delivery notes — processing them one by one is still a chore. Tablola's merge multiple documents into one table preset lets you upload several files and consolidate the extracted data into a single spreadsheet in one pass. That's where the time savings really compound.

The Payoff: Data That Was Always There, Finally Usable

The shift in mindset is simple but powerful: an image containing a table is data, not a picture. Once you treat it that way, a whole category of information you were previously ignoring — or manually transcribing — becomes instantly accessible.

You stop being bottlenecked by format. A supplier who only sends scanned PDFs is no longer an inconvenience. A screenshot from a system you can't export from is no longer a dead end. The data flows into your spreadsheet the same way it would from any other source.

For teams that deal with invoices, receipts, purchase orders, or any kind of document-heavy workflow, that's not a minor convenience — it's a genuine shift in how efficiently information moves through the business.

If you haven't tried it yet, start with one image you'd normally retype. Upload it, see the result, and decide from there.