The Scenario
It's the third week of May and you're the office manager running the monthly reimbursement cycle. Twenty-five employees submitted expense receipts through the internal form — meal receipts, transit tickets, hotel invoices, client entertainment — and the image URLs are sitting in column A of your Google Sheet. Finance needs the structured data by Friday: amount, date, currency, and country for each receipt, organized so approvals can happen without anyone opening a single PDF.
The bad version:
- Navigate to Odoo's expense document module, upload each receipt image URL, wait for the OCR to complete, read the extracted fields, and paste them into your sheet — 25 times, in sequence.
- Discover that four receipts are in foreign currencies and the amount field came back formatted differently than the others, requiring manual cleanup before you can submit the reimbursement file.
- Spend an extra 45 minutes reconciling because you lost track of which rows you'd already processed and started double-entering two receipts mid-batch.
The reimbursement run happens every month. The receipts multiply every cycle. At some point the time it takes to process them eats a meaningful chunk of the time that was supposed to go toward actually managing the office.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet structure, connects to Odoo through its built-in integration, and can submit your receipt batch, poll each job for completion, and write the extracted fields back — without you touching individual rows.
Read my Google Sheet expense-batch (25 receipt URLs in column A) and extract all expense fields using Odoo OCR — amount, date, currency, country — pasting results into adjacent columns
What You Get
- Columns B through E populate with extracted amount, date, currency, and country for each receipt row
- Rows that fail OCR return a status note rather than an empty cell you might overlook
- The batch runs in sequence without you managing the polling cycle between submissions
- The sheet is ready to hand off to finance without any manual cleanup pass
What If the Data Is Not Quite Ready
Some receipt images are low resolution and OCR extraction is partial
For each receipt URL in column A, submit to Odoo Parse Expense, write extracted amount, date, currency, and country to columns B through E — and in column F mark 'PARTIAL' for any row where date or country is missing from the response
Receipts from two different expense periods are mixed in the sheet
For receipt URLs in column A where column G contains 'April', submit to Odoo Parse Expense and write extracted fields to columns B through E — skip rows where column G is 'March' since those are already processed
The currency needs to be normalized to USD equivalents
Submit all 25 receipt URLs in column A to Odoo Parse Expense, extract amount, date, currency, and country into columns B through E — then in column F write the ISO currency code, and in column G write 'CONVERT' for any row where currency is not USD
One-shot extraction, validation, and reimbursement prep
For each receipt URL in column A: run Odoo OCR to extract amount, date, currency, and country into columns B through E, flag any row in column F as 'MISSING' if amount or date is empty, sort the sheet so MISSING rows appear at the top, and write a summary row at the bottom with total count, total flagged, and sum of extracted amounts in USD-equivalent
Combining the extraction pass with the flagging logic saves a second manual review before the file goes to finance.
Try It
Get the 7-day free trial of SheetXAI and open your expense batch sheet with receipt image URLs in column A, then ask it to run the full extraction and land the fields in your adjacent columns. For related workflows, see batch invoice parsing or bank statement reconciliation prep.