In today’s digital age, images are an integral part of our lives. We capture and share images on a daily basis, whether it’s for personal or professional use. However, sometimes we come across images that contain important information in the form of text. Extracting text from images can be a daunting task, especially if you don’t know where to start. In this blog post, we will discuss how to extract words from images using various OCR tools and techniques.
Way 1. Using Gemoo Snap
Optical Character Recognition (OCR) is a technology that enables the conversion of scanned images, PDFs, and other documents into editable and searchable text. OCR software works by analyzing the image and identifying the characters in it. Once the characters are identified, the software converts them into text that can be edited and searched.
Gemoo Snap OCR software can recognize text in images and provides the option to extract and copy text to any destination. It supports six different languages and offers secondary editing options for recognized text. After editing, the text can be easily copied and pasted to a desired location. Output language code is EN.
What’s more, Gemoo Snap is a versatile software that can be used for a variety of purposes. With Gemoo Snap, you can quickly take screenshots, beautify images, and even upload them to the cloud. Whether you’re a student, a professional, or just someone who needs to extract text from images, Gemoo Snap is the perfect solution for you. So why wait? Download Gemoo Snap today and start enjoying its powerful OCR and screenshot features.
Step 1. Firstly, download and open Gemoo Snap on your computer, which is compatible with both Windows and Mac operating systems. You can also use its Chrome extension. Then select the Recognize Text (OCR) function from the interface and set the Output Language Code to EN.
Gemoo Snap OCR Function
Step 2: Choose the section you want to recognize and view the recognition result. You can use the Edit button to modify the detected text. Copy button can be used to copy and paste the text anywhere. The Output Language Code is EN.
Screenshot to Recognize Text from Image
Way 2. Using Google Drive
Google Drive is a cloud-based storage service that offers many features, including the ability to extract text from images. To extract text from an image using Google Drive, follow these steps:
Step 1. Upload the image to your Google Drive account.
To open the image with Google Docs, you should right-click on it and choose “Open with” followed by “Google Docs”.
Step 2. When you upload an image to Google Docs, the text within the image will be recognized and converted into a separate document in English language.
Step 3. You can then edit and save the extracted text as needed.
Note that the accuracy of the text extraction may vary depending on the quality of the image and the clarity of the text.
Way 3. Using Online Tools
There are many online tools available that can extract text from images. Some of the popular online tools are Online OCR, Free OCR, and OCR.space. These tools are free to use and can extract text from images in various formats.
To use these tools, simply upload the image to the website and select the language of the text in the image. The tool will then extract the text and display it on the screen. You can then copy and paste the extracted text into a document or text editor.
FAQs on How to Extract Word from Image
Q: What is OCR?
A: OCR stands for Optical Character Recognition. It is a technology that allows you to extract text from images.
Q: What are some popular OCR software?
A: Some popular OCR software include Gemoo Snap, Adobe Acrobat, ABBYY FineReader, and Readiris.
Q: Can OCR extract handwritten text?
A: Yes, OCR can extract handwritten text, but the accuracy may vary depending on the quality of the handwriting.
Q: What file formats can OCR extract text from?
A: OCR can extract text from various file formats such as JPEG, PNG, PDF, and TIFF.
Q: How accurate is OCR?
A: OCR’s accuracy rate usually ranges from 90-95% and can be influenced by different factors such as image quality, font type, and language used. This message pertains to the English language.
Q: Can OCR extract text from scanned documents?
A: Yes, OCR can extract text from scanned documents.
Conclusion
Extracting text from images can be a useful skill to have, especially if you work with a lot of images that contain important information. With the help of OCR software, Google Drive, and online tools, extracting text from images has become easier than ever before. By following the steps outlined in this blog post, you can extract text from images quickly and efficiently.
