Supported
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 …
Supported
Requirement evaluated: Learning capability: accuracy should improve over time on our specific vendor invoice formats
For a multi-location services company processing 1,800 invoices monthly across a mixed PO and non-PO portfolio, Ottimate's Instant Capture feature addresses this requirement directly at Stage 1 of the pre-processing journey (legitimacy and data extraction). The system uses deep learning to extract header and line-item data upon upload, and critically, it learns from each correction your team makes: the platform suggests GL codes for unmapped items and refines its suggestions based on your past selections, so recurring vendor formats are progressively coded with less manual intervention over time. …
Limitations: User reviews flag that for service-code invoices specifically (utilities, professional services, subscriptions), auto-coding accuracy can lag behind goods-based invoice types and may require manual correction before the model stabilizes on those formats; given that 45% of this buyer's volume is non-PO service invoices, …
Supported
Requirement evaluated: Automatic extraction of: vendor name, invoice number, date, PO number, line items, amounts, tax, and payment terms
For a $120M multi-location services company currently keying 1,800 invoices per month manually into Sage Intacct, Ottimate's Instant Capture module addresses Stage 1 (legitimacy/capture) of the pre-processing journey directly. Invoices arriving by email or mail are ingested and processed by Ottimate's AI, which combines OCR with deep learning to extract both header-level fields and line-by-line detail. …
Limitations: No publicly documented enumeration of every extracted field (e.g., explicit confirmation that payment terms are extracted as a discrete structured field, not just read as free text) was found in help center documentation; the help.ottimate.com site did not return results in search. …
Supported
Requirement evaluated: Automatic ingestion from our shared AP email inbox; no manual downloading or sorting
For a 3-person AP team at a $120M services company receiving invoices into a shared email inbox, Ottimate addresses this requirement through a vendor-issued unique capture email address combined with a one-time auto-forwarding rule. As documented in Ottimate's help center, the buyer configures an auto-forwarding rule on their existing shared AP inbox so that every incoming invoice email is automatically copied to their Ottimate-issued capture address. For invoices sent via email, Ottimate recommends setting up auto-forwarding rules that automatically send a copy of your invoice to Ottimate when a vendor emails it to you. …
Limitations: The mechanism is forwarding-based, not native IMAP polling of the buyer's existing Office 365 or Google Workspace shared mailbox. A one-time inbox forwarding rule must be configured by the buyer's IT admin before the flow becomes zero-touch. …