pytesseract | A Python wrapper for Google Tesseract | Computer Vision library

Example of numbers

I am using the standard pytesseract img to text. I have tried with digits only option 90% of the time it is perfect but above is a example where it goes horribly wrong! This example produced no characters at all

As you can see there are now letters so language option is of no use, I did try adding some text in the grabbed image but it still goes wrong.

I increased the contrast using CV2 the text has been blurred upstream of my capture

Any ideas on increasing accuracy?

After many tests using the suggestions below. I found the sharpness filter gave unreliable results. another tool you can use is contrast=cv2.convertScaleAbs(img2,alpha=2.5,beta=-200) I used this as my text in black and white ended up light gray text on a gray background with convertScaleAbs I was able to increase the contrast to get almost a black and white image

Basic steps for OCR

1. Convert to monochrome
2. Crop image to your target text
3. Filter image to get black and white
4. perform OCR

I am trying to read numbers from an image with 20x10 resolution. I know this question might be a duplicate. I've gone through most of the questions here on stack overflow but none of the answers seems to work for me. Here is the image I am trying to read text from:

Here is the my current code:

The goal is to take a set of jpg/tif images and convert them into 1 text-searchable PDF. I am using Python's PyPDF2 and pytesseract to accomplish this; however, I am unable to find a method of combining these pages without saving each page as its own PDF. Turns out some of these sets could be 1k-10k pages so saving each page individually is unfortunately no longer feasible ... here's what I've got so far:

I have this image and I want to read the text on it but pytesseract returns blank

I wrote code that sucessfully parses thousands of different kind of pdfs.

However with this pdf, i get an error. Here is a very simple test code sample, that reproduces the error. My original code is too long to share here

I install new modules via the following command in my miniconda

I am attempting to collect data from a shop in a game ( starbase ) in order to feed the data to a website in order to be able to display them as a candle stick chart

So far I have started using Tesseract OCR 5.0.0 and I have been running into issues as I cannot get the values reliably

I have seen that the images can be pre-processed in order to increase the reliability but I have run into a bottleneck as I am not familiar enough with Tesseract and OpenCV in order to know what to do more

Please note that since this is an in-game UI the images are going to be very constant as there is no colour variations / light changes / font size changes / ... I technically only need to get it to work once and that's it

Here are the steps I have taken so far and the results :

I have started by getting a screen of only the part of the UI I am interested in in order to remove as much clutter as possible

I have then set a threshold as shown here ( I will also be using the cropping part when doing the automation but I am not there yet ), set the language to English and the psm argument to 6 witch gives me the following code :

I've been trying to get tesseract OCR to extract some digits from a pre-cropped image and it's not working well at all even though the images are fairly clear. I've tried looking around for solutions but all the other questions I've seen on here involve a problem with cropping or skewed text.

Here's an example of my code which tries to read the image and output to the command line.

In my Colab installed and imported pytesseract as: