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This AI invoice agent automates invoice processing by:
- Accepting invoice images via Telegram
- Extracting text using OCR
- Populating data into Google Sheets
- Uploading the original image to Google Drive
- Sending extracted details back via Telegram
You Should Know:
1. Required Tools & APIs
- Telegram Bot API (
python-telegram-bot) - OCR Engine (Tesseract OCR / Google Vision API)
- Google Sheets API (
gspread) - Google Drive API (
PyDrive)
2. Step-by-Step Implementation
Step 1: Set Up a Telegram Bot
from telegram import Update
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
TOKEN = "YOUR_TELEGRAM_BOT_TOKEN"
def start(update: Update, context):
update.message.reply_text("Send me an invoice image!")
def handle_image(update: Update, context):
file = update.message.photo[-1].get_file()
file.download("invoice.jpg")
update.message.reply_text("Processing invoice...")
updater = Updater(TOKEN)
updater.dispatcher.add_handler(CommandHandler("start", start))
updater.dispatcher.add_handler(MessageHandler(Filters.photo, handle_image))
updater.start_polling()
Step 2: Extract Text Using Tesseract OCR
sudo apt install tesseract-ocr Linux brew install tesseract macOS
import pytesseract
from PIL import Image
text = pytesseract.image_to_string(Image.open("invoice.jpg"))
print(text) Extracted invoice data
Step 3: Store Data in Google Sheets
import gspread
from oauth2client.service_account import ServiceAccountCredentials
scope = ["https://www.googleapis.com/auth/spreadsheets"]
creds = ServiceAccountCredentials.from_json_keyfile_name("credentials.json", scope)
client = gspread.authorize(creds)
sheet = client.open("Invoices").sheet1
sheet.append_row([bash]) Add extracted data
Step 4: Upload Image to Google Drive
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
gauth = GoogleAuth()
gauth.LocalWebserverAuth()
drive = GoogleDrive(gauth)
file = drive.CreateFile({"title": "invoice.jpg"})
file.SetContentFile("invoice.jpg")
file.Upload()
Step 5: Send Back Processed Data via Telegram
update.message.reply_text(f"Invoice processed!\nExtracted Data:\n{text}")
3. Automate with a Script
Run the bot continuously using:
nohup python3 invoice_bot.py & Linux/Mac
What Undercode Say
Automating invoice processing reduces human error and saves time. Key Linux/Windows commands for debugging:
– Check running processes: `ps aux | grep python`
– Monitor logs: `tail -f nohup.out`
– Kill the bot: `pkill -f invoice_bot.py`
– Windows alternative: `taskkill /IM python.exe /F`
For OCR accuracy, consider:
tesseract --list-langs Check installed languages tesseract invoice.jpg output -l eng+fra Multilingual OCR
Prediction
AI-powered document processing will replace 60% of manual data entry by 2026.
Expected Output:
A fully automated Telegram bot that extracts, stores, and confirms invoice processing without manual intervention.
Relevant URLs:
IT/Security Reporter URL:
Reported By: Leadgenmanthan Invoice – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
