VLM Powered OCR

AI Vendor Statement of Account to Excel Converter

Most PDF extraction tools can read text, but can't tell the difference between an invoice charge, a payment received, a credit note, and an opening balance carried forward — this one reads vendor statements the way an AP clerk reads them, by understanding what each line means, not where it sits on the page.

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What You Can Extract from a Vendor Statement of Account

Type the column names you need — the AI finds these values on any vendor's statement by understanding what each number and label means, not where it sits on the page.

Supplier / Vendor Name

Statement Period

Invoice Reference

Transaction Date

Due Date

Debit Amount

Credit Amount

Payment Amount

Running Balance

Closing Balance

Outstanding Amount / Status

Transaction Type

This is not a prescriptive list — type any field name your vendor statements contain. The AI reads the document to find what you ask for.

Why Vendor Statements Are Harder to Extract Than Invoices

An invoice lists one transaction. A vendor statement mixes invoices, payments, credit notes, and adjustments — and every vendor formats these rows differently. Template-based tools that assume a homogeneous table break when the row type changes.

The Problem

01 A statement mixes invoices, payments, credit notes, and adjustments — none share the same row structure

An invoice line has a reference and amount. A payment line shows a credit value. Template-based tools that assume every row follows the same schema produce garbled output. On Reddit, AP teams routinely report that "the OCR thing built into netsuite chokes because every supplier formats theirs differently."

02 Open-item and balance-forward layouts require different row logic

An open-item statement lists unpaid invoices only. A balance-forward statement shows opening balance plus period activity. Generic converters treat both as flat tables and lose the credit/payment distinction AP needs.

03 Every supplier formats differently — templates need per-vendor setup

A large distributor uses a multi-page balance-forward statement. A small supplier sends a one-page open-item list. Template-based tools need separate setup per layout — each breaks when the supplier updates. An AP team with 50 vendors may need 50 templates.

How Custom Column Extraction Solves This

01 The AI reads each row by transaction type, not by pixel position

Custom Column Extraction lets you define fields like "Invoice Reference," "Debit Amount," "Credit Amount." The AI reads each line by what it represents — an invoice charge, a payment, a credit note — and maps it to the correct column. Alternating row types that break template tools are distinguished because the AI reads purpose, not position.

02 One column definition works for every vendor and every layout

Type "Supplier Name," "Invoice Reference," "Transaction Date," "Debit Amount," "Credit Amount," "Running Balance" once. The same definition works for open-item, balance-forward, or hybrid layouts. The AI locates each field by what it is, not where it is. Add an Inferred Column like "Transaction Type (Invoice / Payment / Credit Note)" for pre-classified rows.

03 A Computed Column verifies balance accuracy during extraction

Add a Computed Column: "Balance Check (Opening + Debits − Credits − Closing)." The AI computes expected versus printed closing balance. A non-zero result flags a potential error — a credit read as debit, a missing row — before data enters reconciliation.

From 30 Vendor Statements to One Reconciliation-Ready Spreadsheet

If you process vendor statements for month-end AP reconciliation, here is the workflow.

Upload all vendor statements — every format, every supplier, in one batch

Drop in PDFs from your AP inbox, scanned paper statements, and screenshots of vendor portals. Upload all 30 — from Grainger, Sysco, your local supplier, and the SaaS vendor whose statement is an email screenshot — in a single batch. Batch processing handles every file simultaneously into one output. For emailed statements, each account's Email Inbox accepts forwarded attachments directly to your queue. To gather statements without giving vendors system access, generate a Collection Link: a shareable URL for uploads without registration.

Define your columns once, for every vendor and format

Enter the fields your reconciliation needs: "Supplier Name," "Invoice Reference," "Transaction Date," "Debit Amount," "Credit Amount," "Payment Amount," "Running Balance." Add an Inferred Column like "Transaction Type (Invoice / Payment / Credit Note)" and the AI labels every row. Include a Computed Column — "Balance Check (Opening + Debits − Credits − Closing)" flags any statement whose extracted rows don't reconcile to the printed balance. The same configuration works for every vendor: open-item, balance-forward, PDF, scanned, or screenshot.

Download the consolidated Excel — verified, ready for AP reconciliation

Every invoice, payment, credit note, and adjustment becomes one row in a single spreadsheet with Supplier Name repeated for filtering. The Computed Column shows balance verification — any non-zero check is flagged for manual review. Export as XLSX, CSV, or JSON. The output is ready for reconciliation against your AP ledger in QuickBooks, Xero, NetSuite, or Sage. Save your column configuration as a template after logging in and reuse it next month without re-entering field names.

When It Works Best — and When to Be Cautious

When it works best

Digital or scanned PDF statements from any vendor. Statements from large distributors (Sysco, Grainger, Fastenal), software vendors, and small suppliers extract reliably — open-item or balance-forward, across page breaks.

Month-end batch processing of 20–50 vendor statements. Upload all outstanding statements at once, define columns once, and every vendor's data lands in the same structured output — regardless of mixed layouts.

Statements with clear running balances and row-level references. Each row includes an invoice or reference number alongside date and amount, providing a complete audit trail for matching against your AP ledger.

When to be cautious

Statements with interleaved sub-account sections. When a single PDF mixes transactions for multiple locations, verify row-level data is assigned correctly. Use an Inferred Column for "Location" to classify by section header.

Heavy handwritten annotations or corrections. Handwritten overlays on pre-printed numbers can reduce accuracy. Run a spot-check on annotated statements before processing the full batch.

Multi-currency statements with embedded FX rate tables. Statements with per-row FX rates introduce validation beyond balance checks. The AI extracts all visible fields, but verify currency column interpretation before ERP import.

Frequently Asked Questions

What specific fields can be extracted from a vendor statement of account?

The tool extracts Supplier Name, Statement Period, Invoice Reference, Transaction Date, Due Date, Debit Amount, Credit Amount, Payment Amount, Running Balance, Closing Balance, Outstanding Amount or Status, and Transaction Type — plus any custom field your statements contain. You define only the columns your reconciliation needs. The same column definition works across all vendors regardless of layout.

How does the AI handle open-item versus balance-forward statement formats?

The AI reads the document structure to determine the layout. An open-item statement lists only unpaid invoices and outstanding credits. A balance-forward statement shows an opening balance plus all period activity and a closing balance. The AI classifies each row by transaction type and assigns it to the correct columns regardless of layout. The "Running Balance" column captures ongoing subtotals, and "Closing Balance" captures the final figure in both formats. Add an Inferred Column like "Transaction Type (Invoice / Payment / Credit Note / Adjustment)" for pre-classified rows.

Can I batch-process statements from every vendor at month-end in one job?

Yes. Upload statements from all your vendors — large distributors, small local suppliers, SaaS vendors, international manufacturers — in a single batch. The tool accepts mixed formats (PDF, scanned images, screenshots) and mixed layouts (open-item, balance-forward) within the same batch. Define columns once, and every statement produces rows in the same consolidated Excel file. For recurring monthly processing, save your column configuration as a template after logging in.

How does the Computed Column verify statement balance accuracy?

Add a Computed Column: "Balance Check (Opening + Debits − Credits − Closing Balance)." The AI computes expected versus printed closing balance and outputs the difference. A non-zero result flags a potential extraction error — a credit read as debit, a missing row, a misapplied payment — before the data enters reconciliation. For logged-in users, the Rule Format supports multi-step verification like comparing extracted totals against summary lines or flagging statements where the opening balance doesn't match your prior-month AP close.

Does the tool handle statements with credit notes, debit notes, and disputed items?

Yes. Credit notes, debit notes, adjustments, and disputed items are extracted as separate rows with transaction type preserved. The AI reads whether a line is a credit note against a specific invoice, a debit note adding a charge, or a standard invoice — and populates the correct columns. Use the "Transaction Type" Inferred Column for automatic labeling. A credit against invoice INV-2026-0042 appears as a separate row with transaction type "Credit Note," preserving the audit trail that generic converters flatten into a single amount column.