Tesserocr Alternatives

tesserocr reviews and mentions

• [Question] I am trying to segment the image using python.
  1 project | reddit.com/r/opencv | 9 Aug 2021

  If you’re using tesserocr then you can use OpenCV images directly, so you can just extract the relevant image rows (e.g. query_image = main_image[prev_line:this_line]) and process then without needing to save each image.

• Python app that will take a picture, scan it and upload that information into a excel file.
  1 project | reddit.com/r/learnpython | 29 Jul 2021

  This tutorial is a good start towards getting the data from an image of a form with a known structure. I’d personally recommend using tesserocr (actual library binding, more efficient, more functionality) instead of pytesseract (requires images to be saved before processing, uses command-line options in a subprocess instead of binding to the library), but both should work (that tutorial uses pytesseract, which is also what u/Iceberg_Bart_Simpson linked to).

• [Question] Working on a simple OCR program but the text from the image is returned in a backward order and it has trouble reading multiple words on a line
  1 project | reddit.com/r/opencv | 11 May 2021

  Side note, but I’d suggest using tesserocr over pytesseract. It’s an actual binding to the tesseract library, so comes with numerous efficiency and interface benefits, and can operate on OpenCV images directly (whereas pytesseract saves them to disk first).

• Optimizing ImageGrab and pytesseract
  3 projects | reddit.com/r/learnpython | 8 May 2021

  If you’re after speed I’d recommend mss for screenshots/recording, and tesserocr instead of pytesseract (note in particular the OpenCV option.

• Is pytesseract the only option for OCR in python?
  2 projects | reddit.com/r/Python | 2 May 2021

  tesserocr is an actual binding to the tesseract library, and is better in practically every way than pytesseract (more efficient, more options for usage, doesn’t require saving images to disk before they can be processed, and more).

• OCR with Python
  2 projects | reddit.com/r/learnpython | 15 Apr 2021

  If you have an electronically created pdf (not scanned) and you’re just wanting to run OCR on embedded images then you’ll want a pdf library that can extract the figure images for you, and then you can use tesserocr to run OCR on those images.

• Pytesseract/OCR: RuntimeError: can't start new thread when no multi-threading
  1 project | reddit.com/r/learnpython | 24 Mar 2021

  If you want a suggestion, use tesserocr instead of Pytesseract. It’s an actual binding to the tesseract library (Python talks to it directly, instead of calling a program as a subprocess), which means it runs more efficiently, you can process multiple images sequentially with the same OCR engine (pytesseract has to start a process and a new engine for every image that gets processed), you get access to more functionality options, and a bunch of other beneficial stuff. If you’re doing preprocessing with OpenCV it’s even possible to pass those arrays directly to tesseract in memory, whereas Pytesseract requires that you save each image to a file before it can process it.

• Can´t get part of this REGEX-pattern to work?
  1 project | reddit.com/r/learnpython | 17 Mar 2021

  As a somewhat unrelated side note, I’d strongly suggest using tesserocr instead of pytesseract, and even more so if you’re working with opencv as well. It’s a true library binding which means it’s more efficient, you have more functionality available to you, you can process multiple images with the same Tesseract engine, and you can process opencv images directly (compared to pytesseract which saves them as a file first and then calls the tesseract CLI as a subprocess).

• OCR Video Game Text
  1 project | reddit.com/r/learnpython | 6 Mar 2021

  In Python the library PyTesseract constructs a command to run and calls Tesseract via the command-line as a subprocess, which is inefficient if you have more than one image to process, because it has to reinitialize the OCR engine for every image. tesserocr is a different library which came around a bit later, which is a direct binding to the Tesseract library, so you can initialise the engine once and process several images with it, and for images that are stored in memory (e.g. OpenCV arrays that you’ve done some processing on) you can process them directly instead of having to save them as individual files (which PyTesseract requires).

• OCR and Pytesseract
  1 project | reddit.com/r/learnpython | 16 Feb 2021

  For OCR I'd generally suggest tesserocr over pytesseract, because it's a true library binding which means you can process OpenCV images in memory instead of having to save them first, and process multiple images with the same tesseract engine instead of having to start a new one for every image.

• First time using python
  1 project | reddit.com/r/learnpython | 9 Feb 2021

  It is. Not least because you can run multiple images through the same tesseract engine (only need to initialise it once), and you can run opencv images through in memory instead of having to save to disk first :-)

• reading text from screen real time
  1 project | reddit.com/r/learnpython | 4 Feb 2021

  Not sure what you’re currently using, but if you specifically need speed I’d suggest teaser-ocr (allows you to directly process image arrays instead of saving to disk first, as per here), along with mss, which can rapidly take screenshots of a defined portion of the screen, and can convert to an opencv image (numpy array) also without needing to save to disk (as per the opencv section of here).

• Using Tesseract to read numbers shown to webcam, but it doesn't recognize text in most frames. I've spent days tuning the pre-processing options, and though my images are more readable than ever, Tesseract is less accurate than it was with worse images
  1 project | reddit.com/r/learnpython | 9 Jan 2021

  If you actually do want to use tesseract here I’d suggest tesserocr instead of PyTesseract as it allows you to pass in an opencv frame directly, and you can start up the engine at the start of your script and just change the current image (should run a decent amount faster than saving the image to disk and then starting up tesseract in a subprocess for each image analysis).

• How to speed up pytesseract ocr processing ??
  1 project | reddit.com/r/learnpython | 8 Jan 2021

  Alternatively you should be able to get quite a bit of speed up by processing your images concurrently, using a ThreadPoolExecuter. That should help with Pytesseract, and would be faster again in tesser-ocr but is a bit more complex to set up correctly.

• [Question] Checkbox parser from image or PDF?
  1 project | reddit.com/r/opencv | 4 Jan 2021

  Side note, if you’re going to do OCR I’d suggest tesser-ocr instead of pytesseract because it can handle opencv images directly instead of having to save them as temp files, see here, but your AWS solution likely works fine too.