Documate OCR

What is Documate OCR?

Documate OCR is a versatile and efficient Chrome extension tailored for those looking to extract editable text from scanned documents. The extension works optimally with an INSWAN document camera, offering users the capability to scan their documents straight into the software and extract text. The robust feature set of the Documate OCR also enables users to correct image distortions, change output format, and choose from multiple language options before extraction, ensuring a seamless and comprehensive scanning experience.

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Stats

By: inswanmarket

View on Chrome Web Store

Users: 2,000+

Rating: 2.50 (2)

Version: 1.1.0908 (Last updated: 2022-09-14)

Creation date: 2021-02-28

Risk impact: Low risk impact

Risk likelihood: Moderate risk likelihood

Manifest version: 3

Permissions:

storage
management

Size: 62.57M

Email: In*****@gmail.com

URLs: Privacy policy

Stats date:

Chrome-Stats Rank

# 21786 ▼ 164

Other rankings

#767 in Art & Design ▼ 6

#11 in camera scanning keyword 37

#42 in gallery keyword 6

#92 in return keyword 35

#95 in scan keyword 30 ▲ 13

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Other platforms

Not available on Firefox

Not available on Edge

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Summary

Analyze keywords

Documate includes optical character recognition (OCR) functionality to directly extract editable text from scans (JPG, PNG) made with your INSWAN document camera.

How to scan a document in Documate:

Connect your INSWAN document camera to your Chromebook using the USB cable.
Open the “Documate” software.
Capture document images.
Go to “Gallery mode” and double click the thumbnail of the captured image.
When the thumbnail image is expanded to full screen, click the “Keystone correction” tool to select the area to be scanned and start to correct image distortion.
Click on “Save to gallery ” to confirm and save the scanned file as PDF, JPG, PNG, of TIFF.
Click the “OCR” icon to extract editable text from the scan.
Click on “Return to gallery mode” to return to the thumbnail preview mode to review all captured images.

How to extract text in Documate: