I implemented OCR-based text detection, allowing the application to detect text within uploaded images. I initially used PaddleOCR, but found that it took over 30 seconds to process a single image. After spending a lot of time trying to optimize its performance, I decided to switch to EasyOCR, which reduced the processing time to around one second while maintaining the same detection quality. Switching the OCR engines was well worth it. I also tried to keep the OCR implementation consistent with the face and license plate detectors and also optimized them too.
Next, I will implement detection of sensitive information within the extracted text using regular expressions and NER. This will allow the application to distinguish ordinary text from personal information such as names, emails, phone numbers, etc, and allow me to blur only the relevant regions (right now the the entirety of the detected text is blurred).