3 Easy Ways to Extract Text from Images: A Quick Guide

Need to get text from an image quickly? Stop manually typing! This guide offers three simple, effective methods for extracting text from images, whether it's a screenshot, a scanned document, or a photo of a whiteboard. No complicated software needed – just easy-to-use online tools and apps. Learn how to effortlessly convert images into editable text in minutes, saving you valuable time and effort.

Methods: Snipping Tool (Windows Built-in)

Step-by-Step Instructions

  1. Open Snipping Tool

    • Open the Snipping Tool (search 'snipping tool' and click 'open' or press Windows + Shift keys).
    • Click 'New' to start a new snip.
    Click 'New' to start a new snip. Click 'New' to start a new snip.
    Open Snipping Tool
  2. Capture Screenshot

    • Select the area containing the text by clicking and dragging.
    Select the area containing the text by clicking and dragging.
    Capture Screenshot
  3. Extract Text

    • Click the 'Text Actions' button.
    • Wait for Windows to analyze the image and recognize the text.
    • Click 'Copy All Text' or highlight specific text and right-click to 'Copy Text'.
    Click 'Copy All Text' or highlight specific text and right-click to 'Copy Text'. Click 'Copy All Text' or highlight specific text and right-click to 'Copy Text'. Click 'Copy All Text' or highlight specific text and right-click to 'Copy Text'.
    Extract Text
  4. Paste into Text Editor

    • Paste the text into a text editor (e.g., Microsoft Word).
    Paste the text into a text editor (e.g., Microsoft Word).
    Paste into Text Editor

Methods: Power Toys Text Extractor

Step-by-Step Instructions

  1. Installation and Setup

    • Download and install Microsoft Power Toys from the Microsoft Store.
    • Ensure the Text Extractor tool is enabled in Power Toys.
    Ensure the Text Extractor tool is enabled in Power Toys. Ensure the Text Extractor tool is enabled in Power Toys.
    Installation and Setup
  2. Prepare the Image/File

    • Open the image or file containing the text.
    Open the image or file containing the text.
    Prepare the Image/File
  3. Activate Text Extraction

    • Press Windows + Shift + T.
    Press Windows + Shift + T.
    Activate Text Extraction
  4. Select Text Area

    • Draw a box around the text using your mouse.
    Draw a box around the text using your mouse.
    Select Text Area
  5. Copy and Paste

    • The text will be automatically copied to your clipboard.
    • Paste the text into a text editor.
    Paste the text into a text editor. Paste the text into a text editor.
    Copy and Paste

Tips

  • Review the copied text for accuracy.

Methods: Google Lens (Chrome Browser)

Step-by-Step Instructions

  1. Access Google Lens

    • Right-click inside the webpage containing the image.
    • Select 'Search image with Google Lens'.
    Select 'Search image with Google Lens'. Select 'Search image with Google Lens'.
    Access Google Lens
  2. Select Text from Image

    • Highlight the text section and click 'Select text'.
    • Choose 'Copy'.
    Choose 'Copy'. Choose 'Copy'.
    Select Text from Image
  3. Alternative: Access Google Lens via Drag and Drop

    • Drag and drop the image into Chrome. Right-click, select 'Search image with Google Lens', highlight, select text, and copy.
    OR: Drag and drop the image into Chrome. Right-click, select 'Search image with Google Lens', highlight, select text, and copy.
    Alternative: Access Google Lens via Drag and Drop
  4. Paste into Text Editor

    • Paste the text into a text editor.
    Paste the text into a text editor.
    Paste into Text Editor

Tips

  • Review the copied text for accuracy.
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Common Mistakes to Avoid

1. Using low-resolution images

Reason: Low-resolution images often result in inaccurate or incomplete text extraction because the characters are too small or blurry for the OCR engine to process effectively.
Solution: Use high-resolution images for optimal accuracy.

2. Ignoring image preprocessing

Reason: Images with poor lighting, shadows, or noise can significantly reduce the accuracy of OCR. The algorithm may misinterpret parts of the image.
Solution: Preprocess the image by adjusting brightness, contrast, and removing noise before OCR.

3. Choosing the wrong OCR engine or tool

Reason: Different OCR engines perform better with different types of images and languages. Selecting an inappropriate tool can lead to poor results.
Solution: Experiment with several OCR tools or engines to find the one best suited for your specific image type and language.

FAQs

What if the image quality is poor or the text is blurry? Will these methods still work?
Poor image quality will significantly impact the accuracy of text extraction. Blurry text or low resolution images will often result in inaccurate or incomplete transcriptions. For best results, use high-resolution images with clear, sharp text.