Matthias Aigner
OCR Image to Text Scanner is estimated to make $850 per month from 1k downloads / mo, tracked daily on Peekly.
How Peekly estimates these figuresAn OCR app is an application that can be used to digitize and edit text from images. OCR stands for Optical Character Recognition. Our text recognition app uses advanced Image-to-Text conversion technology to recognize t
Sign in to see this app's ad creatives
9 Aug → 14 Aug · best #20
Ads launched per month
Media mix
Sign in to access this metricAds launched per month
Estimated spend:
Sign in to see the ad creatives and library
An OCR app is an application that can be used to digitize and edit text from images. OCR stands for Optical Character Recognition. Our text recognition app uses advanced Image-to-Text conversion technology to recognize text in different fonts and languages from images.
Are you looking for an image-to-text app for text recognition from images? With our powerful OCR Text-Scanner app, you can easily recognize text from images with our Image-to-Text feature. Our text scanner supports text recognition from Latin, Chinese, Japanese, Indian and Korean fonts and outputs the recognized text in a text field.
Use the Text-to-Speech (TTS) function built into our Text-Scanner to have the text read aloud, or easily share it by copying or sharing. With our text recognition app, turn your smartphone into a versatile Text-Scanner with our powerful Image-to-Text conversion technology.
Our OCR Text-Scanner app stands out from the competition by supporting 5 different fonts in 44 different languages. Upgrade to the ad-free version to enjoy an even smoother user experience with our text recognition. Maximize your productivity with our Image-to-Text feature!
This is how our OCR Text-Scanner works:
Choose an image from the gallery or take a photo and the text recognition feature, the Image-to-Text function, will recognize all the text in this image.
The recognized text is then displayed in a text field where it can be edited.
With our Text-to-Speech (TTS) function, the recognized text can then be read aloud.
The recognized text can then be copied or shared.
The Text Recognition feature uses OCR (Optical Character Recognition) to recognize text from images. Our Image-to-Text conversion technology is constantly being improved to offer our users an excellent app experience.
Application examples:
Our OCR Text-Scanner app can be useful in many situations. For example, if you have a textbook that you want to extract and edit text from, our OCR Text-Scanner app can help you with that. If you want to digitize cooking recipes from a cookbook to better organize or share them, you can easily do that with our OCR text recognition. Even contracts or invoices that are only available in printed form can be digitized quickly and easily with our OCR Text-Scanner app.
Limitations and Tips:
Please note that the OCR Text-Scanner app may have trouble recognizing text that is of poor quality or uses unusual fonts. We therefore recommend scanning texts of good quality and clear writing. Also ensure that the image has adequate lighting and the entire document is captured. Handwritten texts are only poorly recognized by our Image-to-Text function.
We wish you every success with text recognition from images with our OCR Text-Scanner app.
Rating & reviews
—
Monetization
Free
In-app purchases 30,99 PLN
Similar apps
Business
Business
Business
Business
Business
Business
Business
Business
How much does OCR Image to Text Scanner make?
OCR Image to Text Scanner is estimated to make $850 per month, according to Peekly's daily tracking.
How many downloads does OCR Image to Text Scanner have?
OCR Image to Text Scanner has an estimated 1k downloads / mo on Google Play.
Is OCR Image to Text Scanner free?
OCR Image to Text Scanner is free to download with in-app purchases.
Publisher
Matthias Aigner
Category
Business
Compatibility
6.0
Size
—
Rating
PEGI 3
Price
Free
Released
—
Last update
Sep 2, 2025
Languages
—
Sign in to see captured paywall screens
Market context
Compare its revenue, downloads and momentum, then study the ads and paywalls competitors use to acquire and monetize users.