SupportedOttimate
Requirement evaluated: Automatic extraction of: vendor name, invoice number, date, PO number, line items, amounts, tax, and payment terms
For a multi-location services company receiving invoices by both email and physical mail, Ottimate's capture pipeline works as follows: mailed invoices are scanned and uploaded as PDF, JPG, or PNG files via the dashboard or forwarded to a per-location Ottimate email address for automatic ingestion; Ottimate accepts JPG, JPEG, PNG, and PDF formats, and the most common path is scanning paper invoices into PDFs and uploading via dashboard or email. Once ingested, Ottimate employs machine learning algorithms to extract and categorize data from invoices, regardless of their format, and then automatically matches them to purchase orders and delivery receipts. …
Limitations: Ottimate's strongest line-item extraction heritage is in hospitality and food-service invoice types (SKU, pack size, unit of measure), and its help center documentation on field granularity focuses on those verticals; for the buyer's non-PO invoice types (utilities, insurance, subscriptions), payment-terms extraction i …
SupportedStampli
Requirement evaluated: Automatic extraction of: vendor name, invoice number, date, PO number, line items, amounts, tax, and payment terms
For a 3-person AP team currently keying 1,800 invoices per month from email and mail into Sage Intacct manually, Stampli's AI (Stampli AI, previously branded as Billy the Bot) takes over at the point of invoice receipt. Invoices arrive via email to a dedicated Stampli inbox or are uploaded directly; the AI then immediately extracts header and line-level fields without human intervention. Stampli's own product documentation confirms the extracted fields include vendor name, invoice number, PO number, line items, product descriptions, prices, credit/payment terms, and taxes, using a combination of OCR, machine learning, and natural language processing. …
Limitations: Line-item extraction accuracy on varied or lower-quality invoice formats (scanned paper, non-standard layouts from subcontractors or facilities vendors) improves over time as the system learns vendor-specific patterns; a third-party analysis notes that Stampli uses historical invoice data from specific vendors to impro …