from flask import Flask, request, jsonify, send_file from flask_cors import CORS from PIL import Image import io import vtracer import os app = Flask(__name__) CORS(app, resources={r"/vectorize": {"origins": "*"}}) def convert_to_vector(image): input_path = "temp_input.jpg" output_path = "temp_output.svg" # Save the input image to a temporary file image.save(input_path) # Convert the image to SVG using vtracer with default settings vtracer.convert_image_to_svg_py( input_path, output_path, colormode="color", hierarchical="stacked", mode="spline", filter_speckle=4, color_precision=6, layer_difference=16, corner_threshold=60, length_threshold=4.0, max_iterations=10, splice_threshold=45, path_precision=3 ) # Read the SVG content with open(output_path, "rb") as f: svg_content = f.read() # Clean up temporary files os.remove(input_path) os.remove(output_path) return svg_content @app.route('/vectorize', methods=['POST']) def vectorize_endpoint(): try: # Handle raw image data in the request body if request.data: image = Image.open(io.BytesIO(request.data)).convert('RGB') # Fallback for multipart/form-data elif 'image' in request.files: file = request.files['image'] image = Image.open(file).convert('RGB') else: return jsonify({'error': 'No image data provided'}), 400 # Process the image to SVG svg_content = convert_to_vector(image) # Return the SVG as a response return send_file( io.BytesIO(svg_content), mimetype='image/svg+xml', as_attachment=True, download_name='vectorized.svg' ) except Exception as e: return jsonify({'error': str(e)}), 500 @app.route('/') def index(): return jsonify({'status': 'Image Vectorization API is running'}) if __name__ == '__main__': app.run(host='0.0.0.0', port=7860)