Created
May 19, 2026 10:14
-
-
Save shreyanshp-cactus/64640183859940366fef1f9e709347c1 to your computer and use it in GitHub Desktop.
Extract text using easyocr
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import easyocr | |
| import cv2 | |
| import numpy as np | |
| def main(): | |
| reader = easyocr.Reader(['ch_sim', 'en'], gpu=False) | |
| image_path = './input/sample.png' | |
| results = reader.readtext(image_path) | |
| # Load image with OpenCV | |
| image = cv2.imread(image_path) | |
| for (bbox, text, confidence) in results: | |
| pts = [tuple(map(int, point)) for point in bbox] | |
| cv2.polylines(image, [np.array(pts)], isClosed=True, color=(0,255,0), thickness=2) | |
| # Save the result image | |
| cv2.imwrite('./output/ocr_result.png', image) | |
| print("Result saved to ./output/ocr_result.png") | |
| # Save detected texts to a file | |
| with open('./output/ocr_texts.txt', 'w', encoding='utf-8') as f: | |
| for (_, text, _) in results: | |
| f.write(text + '\n') | |
| print("Extracted texts saved to ./output/ocr_texts.txt") | |
| if __name__ == "__main__": | |
| main() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment