robotframework-ocrlibrary 2.0.0

A robot framework library that utilizes OpenCV image processing and pytesseract OCR.

Robot Framework OCR Library

A robot framework library that is capable of processing images, validating text, and locating specified text by coordinates within images.

Keyword Documentation

You can find the keyword documentation here.

Installation and Usage

• OCRLibrary can be run on Python 3.6, 3.7, 3.8, and 3.9.
• To install, run pip install robotframework-ocrlibrary

Dependencies

OCRLibrary uses two dependencies downloadable through the pip package manager, opencv-python and pytesseract. As well as Tesseract OCR.

Tesseract

OCRLibrary requires Google's Tesseract OCR software.

Linux

To install tesseract on Linux, run sudo apt install tesseract-ocr

MacOS

To install tesseract on MacOS, run brew install tesseract

Windows

To install tesseract on Windows, download one of the installers from UB-Mannhiem/tesseract Once installed add the path to the tesseract folder (ex: C:\User\Program/ Files\tesseract) to your environment variables.

Download verification

Run the command tesseract -v to confirm that tesseract was downloaded successfully.

More installation instructions

For more detailed installation instructions of tesseract please see the following installation guide.

OpenCV Python

To install opencv-python, run pip install opencv-python. Please see opencv-python's installation and usage section for more information.

Pytesseract

To install pytesseract, run pip install pytesseract. Please see pytesseracts installation section for more information.

Usage

Once OCRLibrary is installed, along with its dependencies, add Library OCRLibrary to your robot file to use.

Installing Languages

You can see which languages are available by running tesseract --list-langs. You can do the following to install more languages. Here is a list of supported languages, language codes and tessdata files.

Linux

To install all languages on Linux, run sudo apt install tesseract-ocr-all.

To install a specific language on Linux, run sudo apt install tesseract-ocr-<lang>. Where <lang> is the language code.

MacOS

To install all language on MacOS, run brew install tesseract-lang.

Windows

To download a language on Windows, you must install the trained model for your desired language. This repo has many language models to download. Here are more tessdata files. Once downloaded, place the trained model in the tessdata directory (i.e. where the tesseract.exe is located).

Custom configurations for reading images

You can add any combination of the following to the pyt_conf string argument.

Page segmentation modes

Page segmentation modes provide different ways a page of text can be analyzed. Here is a list of supported page segmentation modes:

Mode	Description
0	Origentation and script detection only.
1	Automatic page segmentation with OSD.
2	Automatic page segmentation, but no OSD, or OCR.
3	Fully automatic page segmentation, but no OSD. (Default)
4	Assume a single column of text of variable sizes.
5	Assume a single uniform block of vertically aligned text.
6	Assume a single uniform block of text.
7	Treat the image as a single text line.
8	Treat the image as a single word.
9	Treat the image as a single word in a circle.
10	Treat the image as a single character.
11	Sparse text. Find as muuch text as possible in no particular order.
12	Sparse text with OSD.
13	Raw line. Treat the image as a single text line, by passing hacks that are Tesseract-specific.

To change your page segmentation mode, add --psm <mode> to your custom configuration string.

OCR Engine Modes

Select the OCR engine modes to be used by pytesseract:

Mode	Description
0	Legacy engine only.
1	Neural nets LSTM engine only.
2	Legacy + LSTM engines.
3	Default, based on what is available.

To change your ocr engine mode, add --oem <mode> to your custom configuration string.

Whitelisting Characters

This configuration specifies which characters to detect. Add the characters you want to detect to the string: -c tessedit_char_whitelist=. An example to only detect lowercase letters: -c tessedit_char_whitelist=abcdefghijklmnopqrstuvwxyz

Blacklisting Characters

Opposite to whitelisting characters, this configurations lets you specify which characters to not detect. Add the characters you want to not detect to the string: -c tessedit_char_blacklist= An example to not detect special characters: -c tessedit_char_whitelist=!@#$%^&*()

Other Configurations

Visit this site for a complete list of Tesseract configuration parameters.

Example of custom configuration string usage

In this example, the content will be returned from the processed image using page segmentation mode 6 and it will ignore all numbers. ${content}= Get Image Content ${processed_image} --psm 6 -c tessedit_char_blacklist=0123456789

Image processing using OpenCV

Please see any of the following links for more information on image processing using OpenCV:

• Changing Colour Spaces
• Thresholding
• Smoothing Images
• Morphological Transformations

Contributing

Thank you for thinking of contributing to the robotframework-ocrlibrary!

When contributing please adhere to the following.

If you find a bug, please submit an issue.

If you want to fix something or improve upon something, fork the repo, and create a new branch. Once you have made the changes and have written unit tests or updated the regression tests (please use pythons Unittest when testing), make a pull request.

Please put the files in the appropriate directories with the appropriate names. The image processing features fall under any of these categories, please name the file to resemble that category (see existing files for examples), or add to an existing file.