Invoice Digitization and Extraction
The paper bottleneck in fine dining.
Day-to-day life at a fine dining restaurant means constantly receiving invoices and receipts from fresh produce suppliers. Manually recording these documents in administration was slow, prone to transcription errors (tax ID, taxable base, VAT) and caused structural delays in expense reconciliation.
Computer Vision and Serverless Cloud on the move.
Implementation of an agile Microsoft Power Apps tool that lets the team photograph invoices on the spot from their phone. A serverless Cloud pipeline on AWS automatically analyzes the image, accurately extracts all the accounting data using OCR and records it in a unified spreadsheet for immediate administrative processing.
Measurable Impact
The engineering behind the impact
Extraction Logic and Models
A computer vision model with tax normalization patterns:
- Optical Character Recognition (OCR): Analysis of the spatial layout of text in the document.
- Normalization: Extraction of tax ID, company name, taxable base and VAT percentages.
- Mathematical Validation: Automated data integrity check (Base + VAT = Total).
Data Processed
- - Mobile images (JPG, PNG).
- - Documents (PDF).
- - Expense invoices and delivery notes.
- Output: Structured JSON.
Architecture & Stack
Capture via the native Power Appsapp, storage in SharePoint, event orchestration through Power Automate and serverless image processing via anAWS Lambda.
Want to eliminate manual data entry and automate your financial administration?
We don't rely on theory. We analyze your current document flows and design a cloud pipeline to cut ingestion time by 85% and achieve absolutely zero transcription errors.