https://kebekus.gitlab.io/scantools/
Make SURE to select the correct OCR language
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https://kebekus.gitlab.io/scantools/
Make SURE to select the correct OCR language
> Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. From 2006 until November 2018 it was developed by Google. I have used Tesseract for OCRing scanned books and it was great. I had no idea it was so old,…
I have permission to publish an ebook edition of an out of print history of Portland, Oregon. I haven’t found the time to work on the project. One point of friction has been selecting an OCR workflow. Any chance you would share what you’ve been successful with?
I tried to use this library to process nutrition labels for a fitness app. Sometimes took 40 seconds to process, which is unacceptable for a phone app. I remember seeing a video where a google product used a neural net and resolved the same info in 1 sec or so.
I must’ve done things spectacularly wrong cuz the two times I’ve tried tesseract (second time to recognize factory printed 8 inch tall letters on a trash can), I got 0% accuracy. 0%. Not even close. So I gave up.
You pretty much need black text on white background at 300-600 dpi. (Not sure the exact size but I’ve had crappy scans do better by scaling the file.)
I’ve had reasonable success with photos of printed pages run through text cleaner.
I must’ve done things spectacularly wrong cuz the two times I’ve tried tesseract (second time to recognize factory printed 8 inch tall letters on a trash can), I got 0% accuracy. 0%. Not even close. So I gave up.
I hacked something together with "Capture2Text". Basically taking the screenshot, saving to jpg, shelling to the exe and getting the text back. Works pretty good.
I must’ve done things spectacularly wrong cuz the two times I’ve tried tesseract (second time to recognize factory printed 8 inch tall letters on a trash can), I got 0% accuracy. 0%. Not even close. So I gave up.