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Time is increasing, After using Multiprocessing in my code

What I am trying to do, converting PDF to text using OCR. Now I am using multiprocessing to reduce time, without multiprocessing the time to process a 88 page. The PDF is 1.5 min, but with a multiprocessing time is a lot. In around 10 mins, I do not know why.

Time is increasing, After using Multiprocessing in my code

What I am trying to do, converting PDF to text using OCR. Now I am using multiprocessing to reduce time, without multiprocessing the time to process a 88 page. The PDF is 1.5 min, but with a multiprocessing time is a lot. In around 10 mins, I do not know why.

Time is increasing, After using Multiprocessing in my code

What I am trying to do, converting PDF to text using OCR. Now I am using multiprocessing to reduce time, without multiprocessing the time to process a 88 page. The PDF is 1.5 min, but with a multiprocessing time is a lot. In around 10 mins, I do not know why.

Time is increasing, After using Multiprocessing in my code

What I am trying to do, converting PDF to text using OCR. Now I am using multiprocessing to reduce time, without multiprocessing the time to process a 88 page. The PDF is 1.5 min, but with a multiprocessing time is a lot. In around 10 mins, I do not know why.

Why parallel processing not working in python?

I’ve been trying to run these two function parallelly using python. Early I tried using threads, but later learnt that multithreading is only for IO Bound Operations.Now, I’m trying using multiprocessing, still until unless the first function finishes it’s execution, the second doesn’t start. What is the reason for the same?