Top Methods to Get Text from Images in 2024

In the current era of technology, converting images containing texts into editable formats is found to be an important activity. Almost in any occupation such as the management of documents, inputting data, or moderating content using such documents to get text from image. The good news is that technological evolution has simplified the process even further and increased the accuracy of this process. In this article, we will examine the useful applications that help with getting text from images and thus we present the newest methods to this issue.

1. Optical Character Recognition (OCR) Technology

OCR does this by recognizing some characters in the image and making an effort to make an image of these characters into something digitally understood as words. Improvements in OCR technology in recent years have greatly improved its effectiveness and even its application on handwritten and irregular texts has been witnessed.

The summary of certain OCR instruments in 2024 looks like this:

  • Tesseract: An open-source OCR engine created by Google
  • Google Cloud Vision: A cloud-based API with OCR functionality and enhanced image recognition
  • Microsoft Azure OCR: A cloud OCR system which is part of the extensive services offered by MS Azure

2. AI-Powered Text Extraction Tools

Tools for AI-powered text extraction have changed how we do image-to-text conversion. These devices are built using machine learning algorithms which keep getting better after analyzing more and more data. By making the best use of artificial intelligence, such tools are more efficient to use and can text out images correctly where other normal OCR technology would not be able to work.

The top AI-powered text extraction tools in 2024 are as follows:

  • Adobe Scan: A mobile application based on AI which scans text from images and documents
  • ABBYY FineReader: A PC program combining OCR with AI technologies
  • Nanonets: An online OCR solution based on AI technology for text retrieval

3. Mobile Apps for Text Extraction

Owing to the availability of mobile apps, it has become very easy to perform text extraction from images on the go and get text from images. Such apps apply OCR technology and image recognition augmented with AI tools to perform text extraction from images and many times, come with added features such as image enhancement, document scanning, and cloud storage. In addition, the integration of mobile phones has made it easy for people to take screenshots of written words from images to be used anywhere and anytime by customers or business organizations.

Here are some of the great and most able text extraction apps that can be accessed through a mobile device accessing data in 2024:

  • Google Keep: Note-taking and management app with OCR functionality
  • Microsoft Lens: Document scanning mobile application with text extraction capabilities
  • Text Fairy: A mobile application for text recognition and conversion to editable text

4. Cloud-Based Solutions

The Cloud approach helps in extracting text from images in a relatively large quantity and in a very flexible way. They allow the use of advanced OCR and AI-enabled tools not requiring installation and maintenance on local working stations as is the case with in-house apps. The solutions are affordable enough enabling every person with an internet connection to extract text from images of suitable computers, as long as they are internet-based.

Some of the topmost services in 2024 to extract text from images via cloud solutions are:

  • Amazon Textract: An efficient and reliable image to a word service provider
  • Google Cloud Vision API: Clod services provider with the ability to dispense all OCR services

5. Browser Extensions and Online Tools

OCR technology has extended its applications even more, from just reproducing documents to taking the form of various image content and detecting text from it. These tools are great for users meeting short-term needs such as text extraction every so often or do not have any advanced needs in this regard. No one would have to order or lease a service or download a program to perform these actions since they are within just a browser and the internet.

These new tools and extensions available in 2024 for accomplishing text extraction from images include:

  • I2OCR: A free online optical character recognition tool for extracting text from images.
  • Copyfish: An OCR plugin for pulling out written information from pictures directly through the browser.

If you have to obtain the text from image files then these tools such as these extensions for the browsers are very useful.

Conclusion

In conclusion, the drawing out of text from images will remain relevant with the rise of technology. Yes, as we have discussed with the top methods above, you should be able to easily extract text from image files containing images using the OCR technology, AI tools and applications, cloud services and browser extensions. And especially the need for the need seems to grow, we hope and believe image processing technology will catch up with rising needs.

Pankaj Kumar
Pankaj Kumar

I have been working on Python programming for more than 12 years. At AskPython, I share my learning on Python with other fellow developers.

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