PurchaseOrders turns a picture of a purchase order into a clean Excel spreadsheet. Upload a scan, a fax, or a phone photo and the OCR plus AI vision reads the PO number, vendor, dates, and the full line-item table, even when there is no text layer to copy. A plain image to Excel converter that only reads embedded text comes back blank on a scan. Try it on a real PO image below.
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A scanned or photographed purchase order is just pixels. There is no underlying text to copy, so the converters that work on a native PDF return an empty sheet, and the layout problems that come with a camera make it worse.
A scan or photo is an image of a page, not a document with selectable text. Tools that only read an embedded text layer have nothing to grab, so they export blank rows or a single column of garbled characters.
A PO snapped on a phone is rarely square. It is rotated, shadowed, and lit unevenly, and the columns of the line-item table no longer line up, which breaks any tool that depends on clean grid lines.
Faxed and low-DPI scans have broken letters, speckle, and thin or missing table borders. Basic OCR turns a faded 8 into a B or drops a quantity entirely, and you only catch it after it is in the sheet.
Real supplier POs carry a received stamp, a handwritten approval, or a signature over the printed text. Generic OCR reads those marks as random characters and corrupts the field underneath them.
PurchaseOrders does not rely on a text layer. It runs OCR plus an AI vision model that understands a purchase order by sight, so it captures the right fields from a scan, fax, or photo the same way it does from a native PDF.
The engine reads the pixels with OCR, then an AI model identifies the PO number, vendor, and each line item by what they mean on the page, not by their position, so a shifted or rotated scan still maps correctly.
Upload JPG, PNG, HEIC, TIFF, or a scanned PDF. The model corrects for skew, shadow, and uneven lighting from a camera, so a photo taken on the warehouse floor still converts cleanly.
Even when the printed grid lines are faint or broken, the AI reconstructs the table and writes one row per line item with SKU, description, quantity, and unit price in their own columns.
Download a structured .xlsx with the header fields and the full line-item table in real columns, ready to sort, total, or hand to your accounting system. CSV and JSON are available too.
Already have clean digital files? The same extraction powers a PO PDF to Excel converter and a PO PDF to CSV converter for native PDFs, plus a purchase order to Google Sheets converter. The toughest scans usually have the toughest tables, so accurate purchase order line item extraction matters most here. Once the data is in a spreadsheet, push it into QuickBooks, Xero, Sage, or NetSuite, and clear a stack of paper POs with bulk purchase order processing.
Where a generic image to Excel tool breaks on a real supplier scan, and what purpose-built PO extraction does instead.
| Scan or photo challenge | PurchaseOrders (OCR + AI) | Plain image/PDF to Excel tool |
|---|---|---|
| No text layer in the file | Reads the pixels with OCR | Returns blank or one garbled column |
| Skewed or rotated phone photo | Corrected before reading | Columns drift and merge |
| Faded fax or low-DPI scan | AI infers broken characters | Misreads digits, drops cells |
| Faint or broken table grid lines | Table rebuilt by meaning | Rows split or collapse |
| Stamps and handwriting over text | Ignored, prints the field clean | Reads marks as junk characters |
| Multi-page scanned PO | Stitched in one pass | Each page handled separately |
| Output | Excel, CSV, JSON, API | Often a flat text dump |
Accuracy depends on image quality: a sharp 300 DPI scan reads almost perfectly, while a dark, blurry phone photo needs a quick review. Always check the extracted sheet against the original image before importing. We do not invent an accuracy figure for low-quality scans.
No template and no manual typing. Upload a scan or photo and get a structured spreadsheet back in seconds.
Drag in a JPG, PNG, HEIC, TIFF, or scanned PDF of the purchase order. A phone photo or a fax is fine; there is nothing to configure first.
Tip: Sharper and straighter images read more accurately, but skew and shadow are handled.
The engine recognizes the text in the image, then the AI identifies the PO number, vendor, ship-to and bill-to, dates, terms, line items, quantities, unit prices, and totals.
Get a clean .xlsx with the header fields and the full line-item table in real columns. Review it against the image, then sort, total, or import it.
Upload the scan or photo to an OCR-based purchase order converter like PurchaseOrders and download the Excel file. Because the tool uses OCR plus AI vision instead of a text layer, it reads the PO number, vendor, and line items straight from the image and writes them into spreadsheet columns with no retyping.
A scanned PDF is an image with no selectable text, so converters that only copy an embedded text layer have nothing to read and export an empty sheet. You need a tool with OCR that recognizes the characters in the picture first. PurchaseOrders runs OCR plus AI vision, so scans convert like native PDFs.
Yes. PurchaseOrders accepts JPG, PNG, and HEIC photos and corrects for the skew, shadow, and uneven lighting a phone introduces. A sharp, well-lit photo reads most accurately, but the AI still pulls the fields from an angled or dim shot taken on a warehouse floor or loading dock.
It depends on the image. A clean 300 DPI scan reads almost perfectly, while a faded fax or blurry photo will need a quick review of a few fields. The AI infers broken characters from context far better than basic OCR, but you should always check the extracted sheet against the original before importing.
The printed fields are extracted reliably even when a stamp or handwriting sits over the text, because the AI separates the marks from the print. Fully handwritten values are harder and should be verified. Printed POs with a received stamp or a short handwritten note convert cleanly.
Yes. You can upload up to 100 scanned or photographed POs in one batch and get the line items back in a single spreadsheet. This is how teams clear a drawer of paper purchase orders or a folder of emailed scans without converting them one at a time.
Convert native PO PDFs to Excel.
Export the same PO data to CSV.
Capture every SKU, qty, and price.
Convert a stack of scans in one batch.
Import the data into Sage 50 or Intacct.
