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Grab 'n Tag

Download a group of images at once and give each one a name based on what's in the picture.
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Grab 'n Tag
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Introduction

Grab 'n Tag is a Chrome extension designed to simplify image collection from the web. It allows users to batch-download images from webpages and automatically names them based on their content using machine learning. This tool eliminates the need for manual image downloading and naming, making it an efficient solution for those who frequently collect web images.

Feature

Batch Download Images

Grab 'n Tag enables users to download multiple images from a webpage simultaneously, significantly reducing the time and effort required for image collection.

Automatic Image Naming

The extension utilizes machine learning to analyze images and assign relevant tags, facilitating easy identification and organization of downloaded images.

Search Functionality

Users can search for specific images using tags or phrases, streamlining the process of finding and downloading desired images.

User-Friendly Interface

  1. Navigate to any webpage with images
  2. Click the Grab 'n Tag icon in the browser
  3. Enter a tag or phrase for image search
  4. Click "Grab!" or press enter to start downloading
  5. Images are automatically named and downloaded

Free to Use

Grab 'n Tag is a free Chrome extension with no subscription fees or hidden costs.

FAQ

Does Grab 'n Tag work on all webpages?

While Grab 'n Tag is designed to work on most webpages, it may not function on all websites due to variations in image formats and structures.

Can I use Grab 'n Tag to download videos?

No, Grab 'n Tag is specifically designed for downloading images and does not support video downloads.

Is my data safe with Grab 'n Tag?

Yes, Grab 'n Tag is designed to be secure and private. It does not collect or store any user data.

Latest Traffic Insights

  • Monthly Visits

    219.89 M

  • Bounce Rate

    55.58%

  • Pages Per Visit

    2.80

  • Time on Site(s)

    117.86

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    0.47%
  • Paid Referrals:
    0.53%
  • Email:
    0.13%
  • Referrals:
    13.02%
  • Search Engines:
    16.50%
  • Direct:
    69.35%
More Data

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