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from flask import Flask, request, jsonify
import os
import tempfile
import fitz # PyMuPDF
from paddleocr import PaddleOCR
from PIL import Image
app = Flask(__name__)
# Initialize PaddleOCR once (for English)
ocr = PaddleOCR(lang='en')
@app.route('/')
def index():
return jsonify({"message": "Welcome to the PaddleOCR + PyMuPDF PDF Extractor API!"})
@app.route('/extract', methods=['POST'])
def extract_text():
if 'pdf' not in request.files:
return jsonify({"error": "No PDF file uploaded"}), 400
pdf_file = request.files['pdf']
# Save PDF temporarily
temp_dir = tempfile.mkdtemp()
pdf_path = os.path.join(temp_dir, pdf_file.filename)
pdf_file.save(pdf_path)
doc = fitz.open(pdf_path)
extracted_data = []
for page_number, page in enumerate(doc, start=1):
# Convert PDF page to image
pix = page.get_pixmap(dpi=200)
img_path = os.path.join(temp_dir, f"page_{page_number}.png")
pix.save(img_path)
# Perform OCR
result = ocr.ocr(img_path, cls=True)
page_text = ""
for line in result:
for word_info in line:
text = word_info[1][0]
page_text += text + " "
extracted_data.append({
"page": page_number,
"text": page_text.strip()
})
return jsonify({
"status": "success",
"pages": extracted_data
})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860)
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