Anonymize your data
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pip install privapyThis package provides no guarantee of anonymity. It is the user's responsibility to ensure that the data is properly anonymized. The authors of this package are not responsible for any results or misuse of this package.
from privapy.text import TextCleaner
text = "I live in New York and work at Google. My email is [email protected]"
cleaner = TextCleaner(steps="all")
cleaned_text = cleaner.clean(text)
# 'I live in <<ENT>> and work at <<ENT>. My email is <<EMAIL>>'from privapy.image import ImageCleaner
from PIL import Image
cleaner = ImageCleaner()
img = Image.open("image.jpg")
cleaned_image = cleaner.clean(img)input image (img):
output image (cleaned_image):
- text
- Add more cleaning methods
- Add Spacy integration
- image
- Add more cleaning methods
- blackout
- pixelate
- Add more detection methods
- face detection
- dlib
- mediapipe
- Add more cleaning methods