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; <cite index="23-1,23-3">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.</cite> Once ingested, <cite index="8-11">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 deliver …
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. …
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. …