Voice Dream Scanner


Description of App: 

Scan paper documents with the camera and recognize text. Listen using built-in text-to-speech. Save and export. Unlimited use: no subscriptions or additional

State-of-the-art A.I. for OCR and text recognition: Fast and accurate, even in poor lighting conditions. Works entirely on device: No need for internet
and your data stays private.

Export scans as plain text or PDF with embedded text to another app, or save them on your local device, iCloud, Dropbox, or Google Drive.

Works with Voice Dream Reader, our full-featured text-to-speech reader. After downloading this app, you will be able access the scanner directly from Reader
and add scanned documents to your Reader library.

Additional Features:

- Automatic detection of document edges for stretching and cropping

- Automatic detection of document orientation and auto rotate

- Automatic language detection

- Automatic image enhancement

- Batch mode for scanning multiple pages quickly

- Spoken words are highlighted in the text or the image

- Select text-to-speech voice and change speed

- Uses premium voices purchased in Voice Dream Reader


- Only languages using Latin alphabets are supported. It works all language supported by Voice Dream Reader except: Arabic, Bulgarian, Chinese, Greek,
Hebrew, Japanese, Korean and Russian.

Apple Watch Support: 




Free or Paid: 


Device(s) App Was Tested On: 

iPod Touch

iOS Version: 


Accessibility Comments: 

Fully accessible with VoiceOver

VoiceOver Performance: 

VoiceOver reads all page elements.

Button Labeling: 

All buttons are clearly labeled.


The app is fully accessible with VoiceOver and is easy to navigate and use.

Other Comments: 

This is simply the best OCR app to date! It retains the format of the page, saves as a PDF accessible document, retains photos from the document for sighted users, and with the Voice Dream Reader update will allow users to scan directly into Voice Dream Reader. It uses the Voice Dream Reader voices you already have installed. Is fast, accurate, and does it all on the device, no server/internet access needed.

Developer's Twitter Username: