We are creating service for text detection from document with tesseract-ocr on python.
The document splits on 4 parts, each of which is processing in parallel with multiprocessing.Process. Each part of document contains 4-6 textfileds.
We extract this fields and send to python tesseract 4.0. We have very huge CPU loading when we are processing 2 and more documents in one time. Can you tell us how optimize tesseract work.
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