Invoice Processor

Extracts structured data from invoices including; vendor details, line items, totals, tax, and payment terms. It outputs it as a summary, CSV, or journal entry. Automatically flags issues such as missing invoice numbers, math errors, and duplicate invoices.

Extracts structured data from uploaded invoices — vendor details, line items, totals, tax, payment terms — and outputs it in your preferred format: a clean summary, a flat CSV for accounting import, or a journal entry. Automatically flags validation issues like math errors, missing invoice numbers, or duplicate invoices in a batch.

How to use it Upload one or multiple invoice PDFs or images and ask Claude to process them.

Example prompts:

  • “Extract all the data from these three invoices and give me a CSV.”
  • “Process this invoice and create the journal entry.”
  • “Code these invoices to our chart of accounts and flag anything unusual.”

Output: Structured invoice summary, CSV export, or accounting journal entry – your choice.

Author

Sumathi spent the formative part of her 30-year technology career inside Deutsche Bank and Bear Stearns — which means she understands what financial services leaders are actually navigating when AI lands on the agenda: regulatory exposure, model risk, legacy estates, and the gap between board-level ambition and what the business can safely deploy.
Today she works with corporate leadership teams to build the capability to make good AI decisions, not just approve them. She doesn’t sell platforms and she won’t take work she can’t deliver outcomes on. The measure is whether her clients’ organisations actually think and govern differently afterwards.
UC Berkeley-certified AI strategist. UK Regional Lead, Women Defining AI. Expert Reviewer, She Shapes AI 2026 Awards. Founding Member, UKAI Women in AI Working Group. Contributor to the UNICEF Toolkit on Responsible AI. Regular speaker at House of Lords and Commons roundtables.