OCR Text recognition Google Workspace Addon

OCR Text recognition


4.4/5 (out of 10 reviews ) | 📥 2477 installs | 💲 Free of charge trial
OCR Text Recognition is an add-on to extract texts from PDF, forms or images.

Frequently Asked Questions

1. What is the rating of the OCR Text recognition?

The OCR Text recognition has a rating of 4.4 out of 5 based on 10 reviews.

2. How many active users does the OCR Text recognition have?

The OCR Text recognition has a user base of 2477 active users.

3. What is the cost of the OCR Text recognition?

The cost of the OCR Text recognition is Free of charge trial.

4. How to download the OCR Text recognition?

To download OCR Text recognition follow the below step:

  1. Visit the following link: OCR Text recognition
  2. Click on the “Install” button located on the right side of the page.
  3. A prompt will appear requesting access permissions for the addon. Review the permissions requested
    and click on the “Continue” button.
  4. If prompted, choose the Google account associated with your Google Workspace or Gmail account that
    you want to use with the addon.
  5. Review the permissions again and click on the “Allow” button to grant the necessary permissions.
  6. The installation process will begin, and you’ll see a progress indicator.
  7. Once the installation is complete, you’ll see a confirmation message indicating that the OCR Text recognition
    addon has been successfully installed to your account.
  8. You can now access the addon. The specific steps to use the addon will depend on its functionality.
    Refer to the addon’s documentation or instructions provided by the developer for guidance on how to
    use it effectively.

Top Keywords that are used in the OCR Text recognition addon’s description :

Keyword Count
documents 4
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get 3
texts 2
handwritten 2
computer 2
recognize 2
time 2
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recognition 2
data 2
extract 1
one 1
click 1
form 1
Keyword Count
handwritten computer 2
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texts documents 1
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one click 1
click get 1
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text form 1
form image 1
image pdf 1
pdf matter 1
matter handwritten 1
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written add-on 1
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Keyword Count
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texts documents one 1
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one click get 1
click get text 1
get text form 1
text form image 1
form image pdf 1
image pdf matter 1
pdf matter handwritten 1
matter handwritten computer 1
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computer written add-on 1
written add-on recognize 1
add-on recognize return 1

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