SupportedMineralTree
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 invoices by hand into Sage Intacct, MineralTree's Invoice Capture feature sits at pre-processing Stage 1 (legitimacy and data ingestion) and partially Stage 2 (PO matching). When an invoice arrives by email or scanned mail, your team forwards or uploads it to a dedicated MineralTree inbox. The system then applies OCR combined with human-in-the-loop validation to extract both header and line-level fields: <cite index="27-2,27-3">returned data includes header-level information such as vendor name, invoice number, and invoice amount, and line-level data is also available.</cite> Payment terms receive specific treatment: <cite index="17-1,17-2">the terms p …
Limitations: Line-item extraction (required for your 55% PO-based volume and for coding non-PO line detail) is configurable rather than on by default: <cite index="15-2,15-3">invoices can be captured at either the header-summary level or by line and header, and line-level capture must be enabled to take advantage of line-level PO m …
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; <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 …