Every business receives invoices — and someone has to open each one, read the numbers, and re-key them into an accounting tool. Describe the task once in plain English. The daemon runs indefinitely at near-zero cost.
Every business receives invoices and someone has to open each one, read the numbers, and re-key the data into an accounting tool. This is repetitive, error-prone, and invisible: a missed or miskeyed invoice causes reconciliation failures that only surface weeks later. Hiring someone to do it is expensive; doing it yourself is a permanent tax on your time.
Re-keying vendor names, invoice numbers, line items, and VAT amounts introduces errors that reconciliation only surfaces weeks later — by which point the trail is cold.
No automated verification means a missed invoice causes downstream finance failures that are hard to trace. The process breaks silently rather than loudly.
The awaBerry Smart Automation Framework watches a local folder for new PDF invoices and automatically extracts every relevant field — vendor name, invoice number, date, line items, VAT, total — then appends a structured row to your accounting CSV. The AI engine (Gemini CLI) writes the extraction script once. Every subsequent run costs near-zero.
Write a setup prompt specifying your invoice folder, output CSV path, and the fields to extract. The framework configures a project from your plain-English description — no coding required.
Gemini CLI generates a Node.js or Python extraction script using pdf-parse / pdfplumber with a file-system watcher. Dependencies are installed and the script is validated automatically — all in the one-time writing phase.
The background daemon starts and runs forever. Every new invoice file triggers extraction and appends to your accounting CSV — zero manual steps, zero AI tokens for file detection.
"Watch the folder$INVOICE_DIRfor new PDF files. When one appears, extract: vendor name, invoice number, date, line items, subtotal, VAT, and total. Append a structured row to$OUTPUT_CSV. Log all errors toextraction.log."
| Variable | Example Value |
|---|---|
INVOICE_DIR | /Users/admin/Downloads/invoices |
OUTPUT_CSV | /Users/admin/accounting/ledger.csv |
GEMINI_SUMMARY_MODEL | gemini-2.5-flash-lite |
~8,000 tokens using the reasoning model. Paid once.
~500–1,500 tokens via Gemini Flash Lite for PDF text extraction only.
Zero tokens — pure local file-system event.
Invoice data entry is one of the highest-friction, lowest-value tasks in any back office. The awaBerry Smart Automation Framework eliminates it entirely: describe the task once, pay a one-time token cost to generate the logic, and let the daemon run indefinitely — producing a continuously updated, import-ready ledger with no manual involvement.
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Flexible onboarding for any hardware — in any environment.
Full control and activation via the awaBerry web dashboard.
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Start from a plain-English description. The framework handles everything else.