Automatically extract Gmail receipt data into clean spreadsheet rows

Many small businesses, independent contractors, and bookkeeping teams waste hours each month manually extracting receipt information from emails into spreadsheets or accounting systems, which drives up bookkeeping costs and delays expense visibility; with roughly 50 million SMBs globally, this problem represents a sizable pain point even if only a fraction adopt automation. The current workaround—paying bookkeepers or using heavyweight accounting suites—often costs $100s per month or forces businesses into complex migrations that most microbusinesses will not tolerate. A practical product would be a Gmail-integrated agent that automatically parses receipt and invoice emails into clean Google Sheets rows (or CSVs) with vendor, date, line items, tax, and totals, using lightweight OCR and tiny-model inference to deliver sub-second per-receipt processing and low operational cost. Features would include confidence scoring and human-in-the-loop correction for low-confidence parses, one-click export to popular accounting systems, and no-code templates so non-technical users can map fields in under five minutes; at $150 ARR per business this maps to a $7.5B addressable market (50M SMBs x $150). This market looks timely: advances in on-device/tiny-model inference and improved OCR make per-receipt extraction fast and affordable, cloud-first stacks like Gmail/Sheets lower adoption friction, and the rise of no-code integrations makes lightweight agents attractive to users who won’t migrate ERPs. Competition is medium and the opportunity scores well (Market Score 88/100, Revenue Potential 82/100), but you should be candid about challenges—diverse receipt formats, Gmail API access and security requirements, and user trust—and focus differentiation on privacy-first architecture, best-in-class accuracy/SLA backed by human review, seamless Gmail/Sheets UX, and developer APIs/no-code templates to reduce acquisition friction.