tesseract | Tesseract Open Source OCR Engine (main repository) | Computer Vision library

 by   tesseract-ocr C++ Version: 5.3.1 License: Apache-2.0

kandi X-RAY | tesseract Summary

kandi X-RAY | tesseract Summary

tesseract is a C++ library typically used in Artificial Intelligence, Computer Vision applications. tesseract has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs [traineddata] files which support the legacy engine, for example those from the tessdata repository. The lead developer is Ray Smith. The maintainer is Zdenko Podobny. For a list of contributors see [AUTHORS] and GitHub’s log of [contributors] Tesseract has unicode (UTF-8) support, and can recognize more than 100 languages "out of the box". Tesseract supports various output formats: plain text, hOCR (HTML), PDF, invisible-text-only PDF, TSV and ALTO (the last one - since version 4.1.0). You should note that in many cases, in order to get better OCR results, you’ll need to [improve the quality] of the image you are giving Tesseract. This project does not include a GUI application. If you need one, please see the [3rdParty] documentation. Tesseract can be trained to recognize other languages. See [Tesseract Training] for more information.

            kandi-support Support

              tesseract has a medium active ecosystem.
              It has 51536 star(s) with 8613 fork(s). There are 1673 watchers for this library.
              It had no major release in the last 12 months.
              There are 379 open issues and 2139 have been closed. On average issues are closed in 23 days. There are 19 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tesseract is 5.3.1

            kandi-Quality Quality

              tesseract has 0 bugs and 0 code smells.

            kandi-Security Security

              tesseract has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tesseract code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tesseract is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tesseract releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1158 lines of code, 88 functions and 14 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            tesseract Key Features

            No Key Features are available at this moment for tesseract.

            tesseract Examples and Code Snippets

            No Code Snippets are available at this moment for tesseract.

            Community Discussions


            Tesseract very low detection quality
            Asked 2022-Apr-17 at 21:56

            Trying to read some data with tesseract but it's already strugling with date and time, so I created a minimal test case.




            Answered 2022-Apr-17 at 21:56

            It looks like the main issue is setting bytes_per_pixel to 3 instead of 1 in api->SetImage.

            The image after cv::adaptiveThreshold is 1 color channel (1 byte per pixel) and not 3.

            Replace api->SetImage(image_final.data, image_final.cols, image_final.rows, 3, image_final.step); with:

            Source https://stackoverflow.com/questions/71905201


            Pytesseract not working for low resolution images
            Asked 2022-Feb-18 at 11:41

            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:



            Answered 2022-Feb-18 at 11:41

            Actually, I have to say that tesseract is very touchy to play with. According to my experiences, I can easily say that if you -as a human- are not able to read a text clearly, you shouldn't expect tesseract to read it either.

            First of all; to get better results, it is a must to make a good preprocessing. I strongly recommend anyone dealing with tesseract to check their documentation about Improving the quality.

            In your case, problem is about the resolution. Is low resolution a reason for tesseract not to read a text ? Answer is absolutely yes. Documentation says:

            Tesseract works best on images which have a DPI of at least 300 dpi, so it may be beneficial to resize images.

            In here DPI means dots per inch and its suggested lower limit is 300 DPI which is higher than your image. When you resize the image to a higher resolution, for example 10 times bigger:

            Now even if DPI satisfies, now you are losing the accuracy and getting noises.

            Note: It also doesn't mean that higher resolution means better results. Please check here.

            Note: If you really need to continue on these types of images, you may need to have a look at here. First you get higher resolution and then deblurring operation, this may help to figure it out.

            Source https://stackoverflow.com/questions/69716295


            Error Could not load file or assembly Tesseract on Ubuntu using .Net Core 3.1
            Asked 2022-Feb-12 at 00:01

            I am using Tesseract version 4.1.1 on dotnetcore 3.1 project which works perfectly on windows but when I publish it on ubuntu it throws the following error on this line



            Answered 2021-Nov-03 at 17:04

            So here is how I fixed it

            It turned out that system didnt display the correct error message because it couldnt use the library System.Drawing.Common which is not supported by Linux.

            Fixed that by using libgdiplux the Linux implementation of System.Drawing.Common

            Source https://stackoverflow.com/questions/69813484


            ocrmypdf - could not find source-pdf?
            Asked 2022-Jan-15 at 19:26

            i would like to use ocrmypdf to convert some pdf-file from a picture to a readable pdf -

            Tried it with the following simple code: (the invoice.pdf is of course available in the same path as the python-script and the output.pdf should be generated)



            Answered 2022-Jan-15 at 19:26

            Sometimes the first error message may be misleading without a clear cause

            In this case the primary message "The system cannot find the specified file"

            Will lead a user to concentrate on why a filename is not correct, as in this case.

            What the error should report is that a required file in the dependencies was not found. which can be caused by one or more Tesseract or related Leptonica / Language data files not in the correct location either due to no install or poor install.

            It transpired that installing tesseract on windows from https://github.com/UB-Mannheim/tesseract/wiki "the script now works fine"

            Note a missing dependency was the cause of a similar message here Import ocrmypdf in Visual Stdio Code in Python

            Source https://stackoverflow.com/questions/70717279


            How can I maximise the reliability of tesseract ocr for text recognition as much as possible?
            Asked 2022-Jan-03 at 23:33

            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 :



            Answered 2022-Jan-03 at 23:02

            Pytesseract, on its own, doesn't handle table detection very well - the table format isn't retained in the output, which can make it difficult to parse, as seen in your output.

            So splitting the table into distinct columns, performing OCR on each, and then rejoining the columns will help. This is slower, but it is more accurate.

            Dilation can help, which adds white pixels to existing white areas (using the threshold and image you currently have). This expands the narrow areas of the numbers.

            In my experience, to improve the accuracy generally means splitting the table up into different sections, as well as testing different thresholds and dilation settings.

            Source https://stackoverflow.com/questions/70570743


            Tesseract OCR gives really bad output even with typed text
            Asked 2021-Dec-20 at 05:05

            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.



            Answered 2021-Dec-20 at 03:04

            I've found a decent workaround. First off I've made the image larger. More area for tesseract to work with helped it a lot. Second, to get rid of non-digit outputs, I've used the following config on the image to string function:

            Source https://stackoverflow.com/questions/70410527


            Stop TensorFlow from printing warning message
            Asked 2021-Dec-09 at 15:47

            I am working on a Kaggle notebook and whenever I run a cell that references the TensorFlow module at all, it prints out a huge warning about some sort of settings but still works. I looked up how to suppress warnings from TensorFlow, and everything I found said to do the following:



            Answered 2021-Dec-09 at 15:47

            So I managed to fix the problem with the following line:

            Source https://stackoverflow.com/questions/70250304


            Pytesseract image to string error messages in Colab
            Asked 2021-Nov-23 at 15:35

            In my Colab installed and imported pytesseract as:



            Answered 2021-Nov-23 at 15:35

            Just be sure you've installed the underlying library the Python module is taking advantage of, for example:

            Source https://stackoverflow.com/questions/70082929


            tesseract detects only 4 words from image
            Asked 2021-Nov-13 at 17:09

            I have very simple python code:



            Answered 2021-Nov-13 at 17:09

            You'll have better OCR results if you improve the quality of the image you are giving Tesseract.

            While tesseract version 3.05 (and older) handle inverted image (dark background and light text) without problem, for 4.x version use dark text on light background.

            Convert from BGR to HLS to later remove background colors from the numbers in the top half of the image. Then, create a "blue" mask with cv2.inRange and replace anything that's not "blue" with the color white.

            Source https://stackoverflow.com/questions/69953632


            How to install Tesseract OCR on Databricks
            Asked 2021-Nov-02 at 14:08

            I am trying to run the following script on a databrick python notebook:



            Answered 2021-Nov-02 at 14:08

            You can use %sh in a separate cell to execute the shell commands on the driver node. To install tesseract, you can do:

            Source https://stackoverflow.com/questions/69807660

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install tesseract

            You can download it from GitHub.


            Before you submit an issue, please review [the guidelines for this repository](https://github.com/tesseract-ocr/tesseract/blob/main/CONTRIBUTING.md). For support, first read the [documentation](https://tesseract-ocr.github.io/tessdoc/), particularly the [FAQ](https://tesseract-ocr.github.io/tessdoc/FAQ.html) to see if your problem is addressed there. If not, search the [Tesseract user forum](https://groups.google.com/g/tesseract-ocr), the [Tesseract developer forum](https://groups.google.com/g/tesseract-dev) and [past issues](https://github.com/tesseract-ocr/tesseract/issues), and if you still can’t find what you need, ask for support in the mailing-lists. Mailing-lists: * [tesseract-ocr](https://groups.google.com/g/tesseract-ocr) - For tesseract users. * [tesseract-dev](https://groups.google.com/g/tesseract-dev) - For tesseract developers. Please report an issue only for a bug, not for asking questions.
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