How to Quickly Extract Text from Images in Python Using ddddocr and OpenCV
This article walks through a Python OCR solution for a blank image output problem, demonstrates a working ddddocr code snippet, and suggests an alternative OpenCV preprocessing step, providing clear screenshots and concise explanations for effective image text extraction.
1. Introduction
A user posted a Python image‑processing issue where the OCR result was empty. The problematic screenshot is shown below:
The output image was blank:
2. Implementation
A working solution was provided using the ddddocr library:
import ddddocr
ocr = ddddocr.DdddOcr()
with open('1.png', 'rb') as f:
img_bytes = f.read()
res = ocr.classification(img_bytes)
print(res)The OCR result was accurate, as illustrated:
Another contributor suggested preprocessing the image with opencv for binarization, which can also improve results:
3. Conclusion
The article presents a concrete Python OCR solution for the reported issue, includes a complete code example, and offers an alternative OpenCV preprocessing approach, helping readers resolve similar image‑text extraction problems efficiently.
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