1. Home
  2. 🔧 Utilities
  3. OCR Text Recogniser
OCR Text Recogniser

OCR Text Recogniser

Edit, Copy & Share OCR result

8 ratings
25 reviews
🔧 Utilities
📊 Productivity

Archived App (Last seen on 19 Mar 2026)

This is an archived listing of the app previously available on the App Store.

Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.

Details

Released
July 21, 2020
Updated
October 19, 2020

Features

Developer

PROV ENTERPRISE
✨Promote your app ✨
OCR Text Recogniser screenshot #1 for iPhone
OCR Text Recogniser screenshot #2 for iPhone
OCR Text Recogniser screenshot #3 for iPhone
OCR Text Recogniser screenshot #4 for iPhone
iphone
ipad
⭐25
Reviews↘︎
🔄1+ apps
Alternatives↘︎
❓5 answered
FAQ↘︎
📦w/o updates
Updates frequency↘︎
🖼️Get Icon
Icons↘︎

About

This app accurately recognizes text from images, supporting all Latin languages. It allows you to crop images before scanning, and then edit, copy, or share the extracted text. Transform your device into a powerful text scanner for various image sources.

✓Extract text from images
✓Supports all Latin languages
✓Crop image before OCR
✓Edit OCR results
✓Copy and share text
Show original description

What's New in OCR Text Recogniser

1.2

October 19, 2020

- SDKs updated - we remove subscriptions, if you have any active subscriptions pls cancel it and use app for free for life time

3

Subscriptions & In-App Purchases

Week Subscription

One week subscription plan

$3.997 Days
How to cancel OCR Text Recogniser subscription ⁉️

User reviews

Most RecentHighest RatedLowest Rated

Nice app great work i like it

Helped me converting images to texts and share the text afterwards.
RWRashmika Whymanqc

Text Recogniser

Wonderful app. Thank you verymuch for this. This will help me alot.
MSMataya Smallthwaitesd

What a rip-off!!

I can’t believe I fell for all the positive reviews and purchased this app! 😥.
On my first attempt it failed to recognise a *single* word from the text (in Danish)!!! The entire output is just a gibberish of assorted characters. What a rip-off!!
Also there is no where to check and set the OCR text recognition language.

I wish I could give it Zero stars. And I guess zero chance of getting my money back. 😡😡
Show more
LLondonCurious

BAD

dont buy it , it only works sometimes , most of the time it doesnt reconize when i take the picture and changes it to numbers . Wasted 8$
MMoubo

Really good

Image to text best app
IRItohan Roake
See 20 more reviews

Developer apps

Lotto 4D Results Live 4D Toto
Lotto 4D Results Live 4D Toto

Live 4D Results, History 4D.

📡 News

(1)

Free
With Ads
Deaf-Mute Communication Helper
Deaf-Mute Communication Helper

Speech - Text - Speech

📊 Productivity

(28)

Free
Colorize - Improve Old Photos
Colorize - Improve Old Photos

Photos and video colorization

📷 Photo & Video

(31)

$2.99
See developer apps

FAQ

What does OCR Text Recogniser do?

OCR Text Recogniser is an application designed to recognize and extract text from images with high precision. It converts visual text into editable and shareable digital text, effectively turning your device into a text scanner.

What are the key features of this app?

Key features include the ability to extract any text or words from an image, support for all Latin languages, the option to crop images before performing OCR, and the functionality to edit, copy, and share the recognized text.

Is this app free to use?

The application is free to download and use, with the option for in-app purchases. This model allows users to access core functionalities for free while offering additional benefits through optional purchases.

What languages does the OCR support?

The app recognizes text from images in all Latin languages, including English, French, Spanish, Portuguese, German, Italian, Norwegian, and Danish, among others. This broad language support makes it versatile for various users.

How can I use OCR Text Recogniser?

You can use this app to digitize text from photos of documents, signs, billboards, or even subtitle text superimposed on images. It's useful for quickly capturing and editing information from visual sources without manual retyping.