freshlybuiltimagebol 0.0.2.5

Photo Bhi Bol Uthega

# freshlybuiltimagebol Image to audio file python libary in development

freshlybuiltimagebol is the library made to allow users to perform various operations with text and images including translation to different languages, generarting audio file from text,extracting text from image and many more.

## Installation To use the library just run the command pip install freshlybuiltimagebol from your terminal. If the library is already installed than try pip install –upgrade freshlybuiltimagebol.

If any occurs persists then reinstalling the library might help, try pip install –force-reinstall freshlybuiltimagebol.

## Features 1. Translating and generating audio files from text

a) Translating Text This is used to translate text in different languages. Run freshlybuiltimagebol.ShabdDhwani.shabd_ki_bhasha_badlo(shabd,bhasha). Here ‘shabd’ is the text you want to translate and bhasha is the language in which you want to translate. Use lowercase in language name.

Example freshlybuiltimagebol.ShabdDhwani.shabd_ki_bhasha_badlo(“Welcome to Freshlybuilt”,”hindi”)

b) Pronounciation of the translated text We can also get a glimpse of how to prnounce the translated text. Run freshlybuiltimagebol.ShabdDhwani.bhasa_badlkr_kya_bole(shabd,bhasha).

c) Know the language of text (shabd_ki_bhasha_jaano) Run freshlybuiltimagebol.ShabdDhwani.shabd_ki_bhasha_jaano(shabd).

d)Convert text to sound output(shabd_se_dhwani) Run freshlybuiltimagebol.ShabdDhwani.shabd_se_dhwani(shabd,bhasha,filename).

e)Recognize text from natural scene image(natural_photo_se_text) Run freshlybuiltimagebol.download(‘east_text_detection’) first to download the model. Run freshlybuiltimagebol.NaturalPhotoShabd.text_pehchano(image).

freshlybuiltimagebol.NaturalPhotoShabd.text_pehchano(image,min_confidence=0.85,width=320,height=320,padding=0.00)

Parameters: - image=input image (type=numpy.ndarray) -required - min_confidence= minimum confidence threshold to detect text from image (default=0.85) -optional - width=resizing width of image (default=320) -optional - height=resizing height of image (default=320) -optional - padding = padding of text box around detected text (default=0.00) -optional

f)Preprocess image before text extraction(OCR_Printed_text.py) Run

freshlybuiltimagebol.ImageProcess.remove_noise(image). freshlybuiltimagebol.ImageProcess.remove_skew(image). freshlybuiltimagebol.ImageProcess.sharpness_blur(image). freshlybuiltimagebol.ImageProcess.to_text(image). freshlybuiltimagebol.ImageProcess.plot_image(image).

Parameter:

image=input image (type=numpy.ndarray) -required

## Contributors [Vishal Sharma](https://github.com/vishal2612200/): G.B. Pant Govt. Engineering College

[Kapil Bansal](https://github.com/KapilBansal320): G.B. Pant Govt. Engineering College

[Ravi Pawar](https://github.com/ravi5175): G.B. Pant Govt. Engineering College

[Sushmita](https://github.com/17sushmita): G.B. Pant Govt. Engineering College

[Simran](https://github.com/ishvik): Maharaja Agrasen Institute of Technology