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What is Tesseract OCR engine?

What is Tesseract OCR engine?

Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. It can be used directly, or (for programmers) using an API to extract printed text from images. It supports a wide variety of languages.

What is Tesseract OCR Python?

Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and “read” the text embedded in images. Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine.

What is Tesseract in image processing?

Tesseract — is an optical character recognition engine with open-source code, this is the most popular and qualitative OCR-library. OCR uses artificial intelligence for text search and its recognition on images. Tesseract is finding templates in pixels, letters, words and sentences.

How can I improve my OCR quality?

5 Ways to Improve OCR Accuracy

  1. Good Quality of Source Images. Before using OCR, make sure you can read the images with your own eyes.
  2. Right Size of Images.
  3. Remove Noise / Denoise.
  4. Increase Image Contrast.
  5. De-skew Original Source.

How accurate is Tesseract?

It is shown that this approach can boost the character-level accuracy of Tesseract 4.0 from 0.134 to 0.616 (+359% relative change) and the F1 score from 0.163 to 0.729 (+347% relative change) on a dataset that is considered challenging by its authors.

What is the most accurate OCR software?

The best OCR software will allow you to scan and archive your paper documents to PDF files with ease….

  1. Adobe Acrobat Pro DC. The best for scanning documents.
  2. OmniPage Ultimate. OCR scanning for professionals.
  3. Abbyy FineReader.
  4. Readiris.
  5. Rossum.

Is Tesseract the best OCR?

Tesseract OCR is an open-source product that can be used for free. Compared to Azure and ABBYY, it performs better in handwritten instances and can be considered for handwriting recognition if the user cannot obtain AWS or GCP products. However, it may perform poorer in scanned images.

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