Converting text from images into editable formats is a crucial task for various applications. Whether you are working with scanned documents, business cards, or handwritten notes, extracting text from images can significantly save time and enhance productivity. In this blog post, we will learn how to convert text from images to text in Python.
This article covers the following topics:
- Python Image Text to Text Converter
- Convert Text from Image to Text in Python
- Text from Image to Text - Advanced Method
- Free Resources
- Get a Free License
Python Image Text to Text Converter
We will use Aspose.OCR for Python to convert text from images to text (TXT). Aspose.OCR for Python is a powerful Optical Character Recognition (OCR) library that allows developers to extract text from images and scanned documents in Python applications.
First, we need to install the Aspose.OCR library. You can easily download the package or install the API from PyPI using the following pip command in the console:
pip install aspose-ocr-python-net
Convert Text from Image to Text in Python
We can convert text from an image and save it to a text (TXT) file. Please follow the steps below to programmatically extract text from images and save it as a text file.
- Create an instance of the AsposeOcr class object.
- Instantiate the OcrInput class object with InputType.SINGLE_IMAGE as an argument.
- Add the image using the add() method. Similarly, add more images.
- After that, call the recognize() method with the OcrInput object as an argument.
- Finally, save the result as a text file using the save() method.
The following code sample shows how to convert text from an image to a text file in Python.
Text from Image to Text Converter in Python.
Text from Image to Text - Advanced Method
Similarly, we can add filters such as “auto_skew” and set recognition options such as area_modes, language, etc. while converting text from images to text files. Please follow the steps below to add filters and recognition settings.
- Create an instance of the AsposeOcr class object.
- Initialize an object of the PreprocessingFilters class.
- Add the filters using the add() method.
- Instantiate the OcrInput class object with InputType.SINGLE_IMAGE and filters object as arguments.
- Add the image using the add() method. Similarly, add more images.
- Initialize the RecognitionSettings class object.
- Specify recognition options.
- After that, call the recognize() method with the OcrInput object as an argument.
- Finally, save the result as a text file using the save() method.
The following code sample shows how to specify filters and recognition settings for converting text from an image to a text file in Python.
Python OCR Library – Get a Free License
Visit our “Temporary License” page to learn how to easily get a free license and unlock unlimited access to the Python OCR library. Start converting text from images to text files today!
Image Text to Text Converter – Free Resources
Explore the resources below to discover more about the library’s features and capabilities:
- Developer’s guide: Dive into the detailed documentation to learn about advanced features and customization options.
- Free online applications: Experience working applications live!
- How-to guides and articles: Follow step-by-step guides to explore specific use cases and examples.
- API reference: Get detailed information on classes, methods, and parameters.
- Code Examples: Check out code snippets and sample projects to inspire your next project.
Conclusion
In this blog post, we have demonstrated how to use Aspose.OCR for Python to convert text from images to TXT files. By following the steps outlined above, you can easily integrate OCR functionality into your Python applications, enabling you to extract and process text from various types of images. Whether you are working on document digitization, data extraction, or any other OCR-related task, Aspose.OCR provides a reliable and efficient solution. Happy coding!
In case of any ambiguity, please feel free to contact us on our free support forum.