AI & Automation Case Study

DocuParse AI Invoice Extractor

Computer vision OCR engine extracting structured JSON data from scanned paper receipts and invoices.

Visit Live Website ↗

Project Specifications

Client

DocuParse Technologies

Industry

Finance & Document Automation

Duration

6 Weeks

Completed

April 2024

Tech Stack
Python Tesseract OCR OpenCV OpenAI Vision API
🎯

The Challenge

DocuParse needed to process 20,000 scanned paper invoices monthly and extract vendor name, tax amount, and line items into JSON.

💡

Our Solution

WebZap constructed a hybrid computer vision pipeline combining OpenCV image preprocessing with LLM Vision structured parsing.

Key Features Implemented

Specific technical features built into this application.

01

Multi-Format Scanning

Parses skewed smartphone photos, PDFs, distorted scans, and low-res receipts.

02

Line Item Extraction

Extracts individual product line items, unit prices, and tax rates into JSON tables.

03

ERP Auto-Sync

Pushes extracted invoice data directly into SAP, Tally, or QuickBooks.

04

Fraud & Duplicate Alert

Flags duplicate invoice numbers or altered price totals automatically.

Key Performance Indicators

Quantifiable results achieved post-launch.

99.4%
Data Extraction Accuracy
< 3 Sec
Per-Invoice Processing Time
20,000+
Monthly Invoices Processed
“

The invoice OCR extractor built by WebZap saved our accounting team over 100 hours of manual data entry every month.

Kavita Menon
Head of Finance, DocuParse
⚡ Ready to Build a Similar System?

Let's Engineer Your Digital Product

Speak with our lead architect to review technical specs and timelines.