tesseract-ocrHow do I create and use Tesseract OCR models?
Creating and using Tesseract OCR models requires a few steps. First, you need to install Tesseract and the language data for the languages you wish to use. Then, you need to create a tessdata directory and place the language data files in it.
Once you have the language data installed, you can create a Tesseract OCR model using the tesseract_ocr.py
script. This script takes an image file and a language as parameters and produces a trained Tesseract OCR model.
For example:
python tesseract_ocr.py -i my_image.png -l eng
This will create a Tesseract OCR model for the English language using the image file my_image.png
.
Once you have a Tesseract OCR model, you can use it to recognize text from an image. To do this, you can use the tesseract
command line tool.
For example:
tesseract my_image.png output
This will use the Tesseract OCR model to recognize text from the image file my_image.png
and output the recognized text in a file called output.txt
.
Code explanation
tesseract_ocr.py
- This script is used to create a Tesseract OCR model from an image file and a language.tesseract
- This command line tool is used to recognize text from an image using a Tesseract OCR model.
Helpful links
More of Tesseract Ocr
- How do I add Tesseract OCR to my environment variables?
- How can I use Tesseract to perform zonal OCR?
- How can I test Tesseract OCR online?
- How do I install Tesseract OCR on Windows?
- How do I install Tesseract-OCR using Yum?
- How do I set the Tesseract OCR environment variable?
- How do I configure Tesseract OCR?
- How can I use Tesseract OCR with Xamarin Forms?
- How can I use Tesseract OCR with Node.js?
- How do I download the Tesseract OCR software from the University of Mannheim?
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