OCR BASED IMAGE TEXTTO SPEECH CONVERSION

Authors

  • Ms. Anusha Author
  • Nalla Niranjan Reddy Author
  • Manala Bharadwaja Author
  • P.Indraja Author
  • T.Raju Author

Keywords:

OCR,, Tesseract,, video text,Image, Capturing,ImageToTextConverter, PythonTSX3TextToSpeechSynthesize, r,Translati onandSpeechOutput.

Abstract

his paper emphasizes the crucial
roleofcustomerretentioninthecontemporarybank
ingsector,recognizingthesubstantialexpensesass
ociatedwithacquiringnewcustomers.Imagesmay
containimportanttextual data that the user may
need to edit
orstoredigitally.Manualentryofdataistimetaking
andmaycontainerrors.Therearemillions of blind
people in the world who arevisually impaired.
Disability to read has a largeimpact on the life
of visually impaired
people.TheProposedsystemhelpsthevisuallyimp
airedperson to hear the text.The main idea of
thisproject is optical Character recognition
which
isusedtoconverttextcharacterintotheaudiosignal.
Tkinter for GUI, pytesseract for
imageprocessingandcharacterrecognitionandpytt
sx3foraudioconversionareused.

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Published

21-04-2024

How to Cite

OCR BASED IMAGE TEXTTO SPEECH CONVERSION. (2024). International Journal of Information Technology and Computer Engineering, 12(2), 67-72. https://ijitce.org/index.php/ijitce/article/view/439

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