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This example uses the command line digits switch to only report digits: $ tesseract tesseract_inputs/example_03.png stdout digits Now, letвЂ™s try OCRвЂ™ing digits as opposed to alphabetic characters: Figure 7: Using Tesseract to OCR digits in images. Success! Tesseract correctly identified the text, вЂњPyImageSearchвЂќ, in the image. Next, letвЂ™s try this image: Figure 5: A second example image to apply Optical Character Recognition to using Tesseract.Д®nter the following in your terminal, noting the changed input filename: $ tesseract tesseract_inputs/example_02.png stdoutДЇigure 6: Tesseract is able to correctly OCR our image. Warning in pixReadMemPng: work-around: writing to a temp fileД¬orrect! Tesseract correctly identified, вЂњTesting Tesseract OCRвЂќ, and printed it in the terminal. Simply enter the following command in your terminal: $ tesseract tesseract_inputs/example_01.png stdout Now, letвЂ™s apply OCR to the following image: Figure 4: An example image we are going to apply OCR to using Tesseract.

Applying text skew correction to the input image to ensure the text is properly aligned.Дeviations from these recommendations can lead to incorrect OCR results as weвЂ™ll find out later in this tutorial.

Ensuring the foreground is as clearly segmented from the background as possible (i.e., no pixelations or character deformations).

Applying thresholding to segment the text from the background.

Using as an input image with as high resolution and DPI as possible.

Step #3: Test out Tesseract OCRДЇor Tesseract OCR to obtain reasonable results, youвЂ™ll want to supply images that are cleanly pre-processed.

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Additionally, you may need to update your PATH variable (for advanced users only). Then Tesseract was not properly installed on your system. If you instead get the error: -bash: tesseract: command not found You should see the Tesseract version printed to your screen, along with a list of image file format libraries Tesseract is compatible with. Libjpeg 8d : libpng 1.6.29 : libtiff 4.0.7 : zlib 1.2.8ДЇigure 3: Validating that Tesseract has been successfully installed on my machine. To validate that Tesseract has been successfully installed on your machine, execute the following command: $ tesseract -v Step #2: Validate that Tesseract has been installed

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If youвЂ™re using the Ubuntu operating system, simply use apt-get to install Tesseract OCR: $ sudo apt-get install tesseract-ocrДЇigure 2: Installing Tesseract OCR on Ubuntu.ДЇor Windows, please consult Tesseract documentation as PyImageSearch does not support or recommend Windows for computer vision development. In order to use the Tesseract library, we first need to install it on our system.ДЇor macOS users, weвЂ™ll be using Homebrew to install Tesseract: $ brew install tesseractДЇigure 1: Installing Tesseract OCR on macOS.

Try Tesseract OCR on some sample input images.ДЄfter going through this tutorial you will have the knowledge to run Tesseract on your own images.

Validate that the Tesseract install is working correctly.

To read more about Tesseract visit the project page and read the Wikipedia article.

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It does not come with a GUI but there are several other software packages that wrap around Tesseract to provide a GUI interface. The software is headless and can be executed via the command line. Originally a C program, it was ported to C++ in 1998.

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Since the updates in 2015, it now supports over 100 written languages and has code in place so that it can easily be trained on other languages as well. The Tesseract software works with many natural languages from English (initially) to Punjabi to Yiddish.

Later, in 2006, Google adopted the project and has been a sponsor ever since. Tesseract, originally developed by Hewlett Packard in the 1980s, was open-sourced in 2005.

Looking for the source code to this post? Jump Right To The Downloads Section Installing Tesseract for OCR