tesseract-ocrHow can I use Tesseract OCR with R?
Tesseract OCR is an open source optical character recognition (OCR) engine. It can be used with R to extract text from images.
To use Tesseract OCR with R, you need to install the tesseract package from the Comprehensive R Archive Network (CRAN). This package provides a wrapper for the tesseract
command line tool.
Once the tesseract
package is installed, you can use the tesseract
function to extract text from an image. For example, the following code block can be used to extract text from an image file named example.jpg
:
library(tesseract)
text <- tesseract::ocr("example.jpg")
text
The output of the code block will be the extracted text from the image, which will look something like this:
This is an example image.
The tesseract
function also supports a variety of options for customizing the OCR process. For example, you can specify the language of the text in the image, the page segmentation mode, the engine mode, and more.
For more information, you can refer to the tesseract package documentation.
More of Tesseract Ocr
- How do I add Tesseract OCR to my environment variables?
- How do I set the Windows path for Tesseract OCR?
- How can I identify and mitigate potential vulnerabilities in Tesseract OCR?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How can I use Tesseract to perform zonal OCR?
- How can I use Tesseract OCR to process video files?
- How do tesseract ocr and easyocr compare in terms of accuracy and speed of text recognition?
- How can I integrate Tesseract OCR into a Unity project?
- How to install and use Tesseract OCR on Ubuntu 22.04?
- How can I tune Tesseract OCR for optimal accuracy?
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