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Image to Text(OCR) 1.5

8.1 MB / 5+ Downloads / Rating 3.1 - 14 reviews


See previous versions

Image to Text(OCR), developed and published by Ahmed karunda, has released its latest version, 1.5, on 2020-06-19. This app falls under the Productivity category on the Google Play Store and has achieved over 500 installs. It currently holds an overall rating of 3.1, based on 14 reviews.

Image to Text(OCR) APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.4+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: io.kodular.ahmedkarundawala245.Image_to_Text

Updated: 5 years ago

Developer Name: Ahmed karunda

Category: Productivity

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Image to Text(OCR) on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

App Rating

3.1
Total 14 reviews

Reviews

5 ★, on 2019-05-14
Best app to convert image to text in english..i lyk it very much. Everyone can use for text scanning.

5 ★, on 2019-05-14
this image to text converter app is good, it support JPG, PNG, TIFF and many more, i recommend to download this app

1 ★, on 2019-07-27
When trying to OCR it says please wait (for about a minute) then OCR failed. Dont waste your time APP FAILED

5 ★, on 2019-05-30
this app is good, it convert image to text and save your time

5 ★, on 2019-05-13
Best image to text converter, smart and fast

5 ★, on 2019-05-13
this app is good, it scan text very fast

Previous Versions

Image to Text(OCR) 1.5
2020-06-19 / 8.1 MB / Android 4.4+

About this app

Image to Text(OCR)

Just select your image file, and just a seconds our tool will automatically extract or convert all text found on your image, you will be able to copy or share it to your friends or family.

1). Open Image to Text(OCR)

2). Upload your image From Gallery or Scan by Camera. Image to Text(OCR) accepts a large variety of image files, including JPG, PNG, TIFF and many more.

3). We will then convert your image to text in just a seconds.

Features:
👉 Image to Text Conveter
👉 Convert Text from Image
👉 Upload your image From Gallery
👉 Get Picture directly by Camera
👉 Resize or Rotate When scan Image
👉 Easy Copy and Share Converted Text
👉 Edit Text after Convert
👉 Copy Text to Clipboard
👉 Various Image Support: JPG, PNG, TIFF and many more
👉 Select the area which you want to Convert
👉 Best OCR for Android
👉 Scan Number or Mail
👉 Free for all

New features

Bug Fix
Free for all
Image to Text(OCR)
Quick Copy and Share
Easy to use
Image to Text converter

App Permissions

Allows applications to open network sockets.
Allows applications to access information about networks.
Allows applications to access information about Wi-Fi networks.
Required to be able to access the camera device.
Allows an application to read from external storage.
Allows an application to write to external storage.
Allows read only access to phone state, including the phone number of the device, current cellular network information, the status of any ongoing calls, and a list of any PhoneAccounts registered on the device.