I Saved the Company 60,000 Yuan! Invoice OCR Automation Practical Review

Hello everyone, this is programmer Wan Feng actively working on various AI projects.

💰 Last Year, My Boss Called Me Into the Office

"Wan Feng, the company needs to reduce costs and increase efficiency this year, do you have any ideas?"

I thought about it and said, "Let me go check with the finance department first."

This look, discovered major problems:

  • Finance department: 3 people, working overtime together at month-end
  • Each person enters 1000+ invoices monthly
  • Overtime pay + labor costs: at least 60,000 yuan per year
  • Often entry errors, reconciliation to the point of breakdown

At that time I thought: This work, AI can do it.

🎯 3 Months Later, Results Came Out

Investment:

  • Development time: 2 days
  • API cost: 70 yuan/month (Tencent Cloud OCR)
  • Training cost: 1 hour (teach finance to use script)

Output:

  • Month-end overtime pay: From 3,000 yuan/month → 0 yuan
  • Labor released: 3 people × 10 hours/month = 30 hours
  • Error rate: From 3% → 0.2%
  • Finance satisfaction: From "want to quit" → "want raise" (joking)

Annual calculation:

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Overtime savings: 3000 × 12 = 36,000 yuan
Labor cost savings: 30 hours × 50 yuan × 12 = 18,000 yuan
Error cost savings: ~6,000 yuan (reconciliation, rework)
API cost: 70 × 12 = 840 yuan

Total savings: 36000 + 18000 + 6000 - 840 = 59,160 yuan

Close to 60,000 yuan, with just 2 days of development time.

Boss said: "Another 10 of these kinds of projects."

📦 What Skills Did I Use?

Skill name: poocr-vatinvoice2excel

ClawHub address: https://clawhub.ai/CoderWanFeng/poocr-vatinvoice2excel

Core logic:

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Invoice file (PDF/image)
    ↓
Tencent Cloud OCR recognition
    ↓
Extract key fields
    ↓
Write to Excel table
    ↓
Finance directly use

Code is just a few lines:

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import poocr

poocr.ocr2excel.VatInvoiceOCR2Excel(
    input_path='Invoice folder',
    output_path='Output directory',
    id='SecretId',
    key='SecretKey'
)

It's that simple, but saved 60,000 yuan.

🛠️ Implementation Process (Complete Review)

Phase 1: Research (1 day)

Tasks:

  1. Go to finance office to observe workflow
  2. Record time for entering each invoice
  3. Count monthly invoice volume
  4. Calculate current cost

Findings:

  • Single entry time: 2 minutes
  • Monthly total: 3,000 invoices
  • Total time: 100 hours
  • Labor cost: 5,000 yuan/month

Conclusion: Worth automating.

Phase 2: Development (1 day)

Tasks:

  1. Apply for Tencent Cloud OCR account
  2. Test recognition accuracy
  3. Write batch processing script
  4. Encapsulate into easy-to-use function

Code:

import poocr
import os
from datetime import datetime

class InvoiceAutomation:
    def __init__(self, secret_id, secret_key):
        self.secret_id = secret_id
        self.secret_key = secret_key

    def process_monthly_invoices(self, month):
        """Process invoices for specified month"""
        input_path = f'./invoices/{month}'
        output_path = f'./output/{month}'

        if not os.path.exists(input_path):
            print(f"Invoice folder for {month} not found")
            return

        poocr.ocr2excel.VatInvoiceOCR2Excel(
            input_path=input_path,
            output_path=output_path,
            id=self.secret_id,
            key=self.secret_key
        )

        print(f"{month} invoices processed")


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