Software Alternatives & Reviews

mText2Speech VS Apertium

Compare mText2Speech VS Apertium and see what are their differences

mText2Speech logo mText2Speech

Break down language barriers and instantly translate between over 90 languages.

Apertium logo Apertium

To see the whole list of general documentation pages written in English, see documentation in English. Pour ceux qui sont plus à l'aise avec la langue française, une partie des pages anglaises a été traduite.
  • mText2Speech Landing page
    Landing page //
    2019-09-05
  • Apertium Landing page
    Landing page //
    2023-06-27

mText2Speech videos

mText2Speech App Preview - Demo of How To Use Text to Speech App

More videos:

  • Review - mText2Speech iOS mobile app - Learn a language on your iPhone or iPad

Apertium videos

Ubuntu'ya Apertium Kurulumu

Category Popularity

0-100% (relative to mText2Speech and Apertium)
Translation Service
19 19%
81% 81
Languages
18 18%
82% 82
Translation
15 15%
85% 85
Text To Speech
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apertium seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

mText2Speech mentions (0)

We have not tracked any mentions of mText2Speech yet. Tracking of mText2Speech recommendations started around Mar 2021.

Apertium mentions (3)

  • Ask HN: Tell us about your project that's not done yet but you want feedback on
    This is very cool, looking forward to it! I've been doing the same thing with Spanish Wikipedia articles for a while, using a few lines of Bash + Regex. I was using Apertium for it. https://apertium.org/ It's definitely worse than most ML-based solutions, but it works reliably and fast; you can run it entirely offline. With Spanish translations, the main problem I was facing is lack of vocabulary, so I created - Source: Hacker News / 9 months ago
  • Show HN: Unlimited machine translation API for $200 / Month
    I used to keep track of the state of machine translation some years back. I think the way you measure the success of an automated translation is edit distance, i.e. How many manual edits you need to make to a translated text before you reach some acceptable state. I suppose it's somewhat subjective, but it is possible to construct a benchmark and allow for multiple correct results. The best resources I knew back... - Source: Hacker News / almost 2 years ago
  • Google Summer of Code 2021 Mentoring Orgs announced!
    Apertium is one of them. We make open-source rule-based machine translation systems, and our core tools are in C++. A few of our proposed ideas involve modifying those C++ tools with new features or improvements to existing features. Source: about 3 years ago

What are some alternatives?

When comparing mText2Speech and Apertium, you can also consider the following products

Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.

VoiceOverMaker.io - Automatically create natural voice overs for your videos. Create your own voice overs from your text. A natural sounding voice is automatically generated for your videos. You are also able to create only natural sounding voices and export them.

Microsoft Translator - Microsoft Translator is your door to a wider world.

Mate Translate - Ultimate translation app for Mac, iOS, Chrome and many more

DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.

RTranslator - World's first open-source simultaneous translation app.