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# app.py
from flask import Flask, render_template, request, redirect, flash, url_for
import os
from paddleocr import PaddleOCR
from werkzeug.utils import secure_filename
app = Flask(__name__)
app.secret_key = os.environ.get('SECRET_KEY', 'change-this') # Replace in production
UPLOAD_FOLDER = os.path.join('static', 'uploads')
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
# Ensure upload directory exists
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
# Initialize PaddleOCR once (CPU mode, English; angle_cls=False speeds up simple text)
ocr = PaddleOCR(use_angle_cls=False, use_gpu=False, lang='en')
@app.route('/', methods=['GET', 'POST'])
def index():
extracted_text = None
image_file = None
if request.method == 'POST':
# Check file in request
if 'image' not in request.files:
flash('No file part in the request.')
return redirect(request.url)
file = request.files['image']
if file.filename == '':
flash('No image selected.')
return redirect(request.url)
# Save uploaded file
filename = secure_filename(file.filename)
file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
file.save(file_path)
# Run PaddleOCR on the saved image (CPU mode)
result = ocr.ocr(file_path, cls=False)
# Collect recognized text lines
lines = []
for res_line in result:
for box, (txt, prob) in res_line:
lines.append(txt)
extracted_text = "\n".join(lines)
image_file = filename
return render_template('index.html', extracted_text=extracted_text, image_file=image_file)
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