Handwriting Text To Speech OCR 1.3.1

M. Mohsin ❘ Freeware ❘
iOS
out of 53 votes

Transforming Handwritten Notes into Audio: A Game-Changer for Accessibility

David Fischer

01/21/2025

Handwriting Text To Speech OCR by M. Mohsin is an innovative application that seamlessly converts handwritten text into speech, making notes more accessible for visually impaired users and enhancing learning for everyone.

This app offers the best automated handwriting to speech functionality, providing a convenient and efficient way to convert your handwritten notes and text from paper into spoken words. And the best part? It's completely free!

Key Features:

Supports multiple languages, including Dutch, English, French, German, Italian, Portuguese, and Spanish
Allows for mixed or multiple languages in the same image

To unlock unlimited access to the app's prime features, you can subscribe for a nominal fee.

Please note the following terms and conditions related to subscriptions:

Subscriptions are available at $0.99 USD per month or $7.99 USD per year.
Prices are subject to change without prior notice, and occasional promotional prices may be offered during specified time periods.
Payment will be charged to your iTunes account upon confirmation of purchase.
Subscriptions automatically renew unless auto-renewal is turned off at least 24 hours before the end of the current period.
You can manage your subscriptions and turn off auto-renewal in your iTunes Account Settings.

For detailed information on cancellation, renewal, and other policies, please refer to the Terms of Use, Privacy Policy, and Subscription Policy available on our website:

Overview

Handwriting Text To Speech OCR is a Freeware software in the category Education developed by M. Mohsin.

The latest version of Handwriting Text To Speech OCR is 1.3.1, released on 12/18/2024. It was initially added to our database on 02/14/2024.

Handwriting Text To Speech OCR runs on the following operating systems: iOS.

Users of Handwriting Text To Speech OCR gave it a rating of 4 out of 5 stars.

FAQ

What is Handwriting Text To Speech OCR?

It is a software tool developed by M. Mohsin that converts handwritten text into speech using Optical Character Recognition (OCR) technology.

How does the OCR feature work?

The OCR feature scans handwritten text, recognizes the characters, and converts them into digital text which can then be synthesized into speech.

Can it recognize different handwriting styles?

Yes, it is designed to recognize various handwriting styles and adapt to the differences in individual writing.

What languages does it support?

Currently, it supports multiple languages including English, Spanish, French, and more, with ongoing updates for additional languages.

Is it available for mobile devices?

Yes, the application is available for both Android and iOS devices.

Does it require an internet connection to function?

No, the core functionalities can work offline once the app is downloaded and installed.

Is there a trial version available?

Yes, a trial version is available for users to experience its features before purchasing.

What are the system requirements?

The app requires a minimum of 2GB RAM and an up-to-date operating system on your device.

How accurate is the text recognition?

The accuracy of text recognition is typically over 90%, depending on the clarity of the handwriting.

Can I save the converted speech?

Yes, users can save the converted speech as audio files for later use.

David Fischer

I am a technology writer for UpdateStar, covering software, security, and privacy as well as research and innovation in information security. I worked as an editor for German computer magazines for more than a decade before joining the UpdateStar team. With over a decade of editorial experience in the tech industry, I bring a wealth of knowledge and expertise to my current role at UpdateStar. At UpdateStar, I focus on the critical areas of software, security, and privacy, ensuring our readers stay informed about the latest developments and best practices.

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Latest Version
1.3.1

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