Document Processing
Your team stops hand-keying invoices. Every document goes from inbox to posted entry in minutes — with confidence scores on every field.
This is not a judgment call. It is transcription.
The average AP team spends 40–60% of their time on data entry. Vendor name. Invoice number. Line items. Due date. GL code. The same fields, from a different PDF, every day. Software should do it. BeanStack reads every document the moment it arrives and extracts every relevant field with more than 97% accuracy.
Email forwarding, direct upload, or integration. Email body extraction, native PDFs, scanned documents (OCR), CSV/EDI, and API webhooks all route through the same pipeline.
Vendor name, invoice number, line items, amounts, tax, due date, PO reference, payment terms. Each field includes a confidence score and a bounding box reference to the source region in the original document.
Matched against your vendor master, validated against open POs, mapped to chart of accounts, and posted as a journal entry. The original document is attached to the entry for one-click audit access.
Above your threshold: posts automatically. Below threshold: one-click confirm — not full re-entry. Over time, the system learns your vendors and exception rates fall.
Full fidelity extraction from digital PDFs. Bounding box references for every field.
Multi-step vision pipeline for scanned and photographed documents.
Forward your AP inbox directly. Extraction from email body and attachments.
Structured imports from any source. Column mapping persisted per vendor.
Real-time integration for platforms that push documents programmatically.
What document types does BeanStack process?
Invoices, purchase orders, contracts, bank statements, receipts, expense reports, and remittance advices. For unrecognized formats, the system flags for review rather than guessing.
What if a vendor uses an unusual invoice format?
BeanStack learns format patterns per vendor. Initial accuracy on a new vendor format may be lower on some fields — after a few documents, it reaches the 97%+ benchmark.
Does BeanStack validate against purchase orders?
Yes. If a PO number is present on the invoice, BeanStack matches it to your open PO register and flags any discrepancies before posting. Three-way matching available on Pro and above.
Forward your first batch and BeanStack will extract, map, and post them — with confidence scores on every field.