AP Aging Report Extractor

Extract the vendor invoices, aging buckets, outstanding balances, days outstanding, and payment status from an accounts payable aging report PDF.

The full guide: Accounts payable aging buckets and vendor invoices

How should we start?

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Start with a document

Upload a file or pick a sample, and see the fields come back.

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Questions about AP Aging Report Extractor.

What does the AP aging report extractor read?

The report number and date, the reporting period start and end, the company (buyer) name, the currency, and the report totals: total outstanding balance, total current balance, and the totals overdue by 1–30, 31–60, and 90-plus days.

Are the vendor invoices returned as a table?

Yes. The vendor invoices table returns one row per invoice with the supplier number and name, invoice number and date, due date, total amount, paid amount, outstanding amount, days outstanding, aging bucket, payment status, and currency, so the whole payables ledger comes back as rows.

How are the aging buckets summarized?

The aging summary table returns each bucket (Current, 30, 60, 90+) with its invoice count, total outstanding, and percentage of total, and an aging-by-period table returns the outstanding total and the current, 30-, 60-, and 90-day counts per period, so the aging profile reconciles against the invoice rows.

Does it capture per-vendor totals and discounts?

The vendor summary table returns each supplier with its invoice count, total invoiced, total paid, total outstanding, and average days outstanding, and the early-payment discount available and whether the discount period has expired come back per invoice, alongside the payment terms, PO number, approval status, and any dispute notes.

What are the file limits and privacy terms?

PDF only, up to 10MB and 100 pages. The report is processed via the Talonic API for extraction, is not retained for training, and is not shared.

Doing this to one file, or to ten thousand?

The tool reads a single document. The platform reads the whole estate once and keeps it queryable — the same engine, with a memory.

See invoice data extraction if you run this for finance and AP teams, or the extraction API if you are building it in.