tesseract-ocrHow can I use Tesseract OCR with CUDA for faster image processing?
Using Tesseract OCR with CUDA can significantly speed up image processing. To use Tesseract OCR with CUDA, first install the Tesseract OCR library and the CUDA Toolkit. Then, when running the Tesseract OCR library, specify the --tessdata-dir
option and the --oem
option to enable CUDA.
Here is an example of how to use Tesseract OCR with CUDA:
tesseract image.jpg output --tessdata-dir <path/to/tessdata> --oem 1
Code explanation
tesseract
: This is the command to run the Tesseract OCR library.image.jpg
: This is the image file to be processed.output
: This is the name of the output file.--tessdata-dir <path/to/tessdata>
: This is the option to specify the directory of the Tesseract OCR data.--oem 1
: This is the option to enable CUDA.
Helpful links
More of Tesseract Ocr
- How can I use Tesseract OCR in a web application?
- How can I use Tesseract OCR to recognize math formulas?
- How do I use Tesseract OCR?
- How can I use Tesseract OCR with Visual Studio C++?
- How to install and use Tesseract OCR on a Mac?
- How to install Tesseract OCR on Windows?
- How do I add Tesseract OCR to my environment variables?
- How can I use tesseract ocr portable to recognize text in images?
- How do tesseract ocr and easyocr compare in terms of accuracy and speed of text recognition?
- How can I use Tesseract OCR with Laravel?
See more codes...