YouTubers have always been the ones who create videos and share them with the world. But, these days, it’s getting harder to release a video and meet your audience’s expectations.
So, that’s why many YouTubers are starting to turn to AI tools that can help them create content quicker and more efficiently.
Moreover, there are channels that are using AI technology for video editing or voice overs.
In this article, I want to test and compare the best text-to-speech AI technology on the market.
Best Text-to-Speech for YouTube
Some of these tools are free to use, but the best ones are paid tools that can be used for commercial purposes, including YouTube.
But before I show you the results of the comparison, let me explain to you what text-to-speech technology is.
What is Text-to-Speech?
Text-to-speech (TTS) is the generation of synthesized speech from text. It can be used in various ways such as generating talking computer alerts, replacing a human voice on the phone, and creating digital voices for games and applications.
This technology, along with others like it, offers new ways to make the world more accessible by allowing those who can’t read text on a screen to have the ability to access content in different ways.
That said, many technology giants are entering the text-to-speech world and creating their own AI voice assistants.
To make the most of the test, I will use male and female voices for each tool, so you can decide for yourself which one is the best.
Following text I will use for the comparison:
Making a voice over for your video is not as easy as it may sound. This is because people consider voice acting to be an art and thus making a voice over for your YouTube video can be challenging and time-consuming process.
Let’s take a closer look at the best ones.
Azure is a service from Microsoft that offers 270 natural-sounding voices across 119 languages and variants. It is recognized as one of the tools on the market and is used by many brands to communicate with customers. Azure is a realistic AI voice generator that can speak in different styles and emotional tones. It can be used for text readers and chatbots.
IBM Watson is a cloud service that provides a way for you to have computerized voice conversations or create the text-to-speech audio of your written words. Brands can use Watson to improve customer experience and interact with users in their native language.
Amazon Polly is considered to be the best text-to-speech technology on the market and has also one of the most accessible pricing models.
Amazon Polly provides dozens of languages and a wide selection of natural-sounding male and female voices. It offers fluid pronunciation of text that enables you to deliver high-quality voice output for a global audience.
It also comes with pay-as-you-go pricing, low cost per character converted, and unlimited replays which makes it a cost-effective way to voice any applications.
While all the services above are made for brands to communicate with their audience, for YouTube this AI technology should not be used.
Instead, you should consider giving a chance to the Murf. This is an incredible tool that is allowing you to use AI voices which are sounding like humans, even for commercial use.
Moreover, with Murf you can more than 120 different voices, change their emphasis and emotions, and all this with an affordable pricing model. For $19 per month, you can get 2 hours of voice overs, which is enough for 15 videos that are 8 minutes long.
Murf is a budget go-to text-to-speech tool ideal for any YouTube creator.
Another insane AI tool that can be used for generating human-sounding voice overs is WellSaid Labs. This is a tool, I’m currently using for one of my channels, and I absolutely love it.
However, to get the best AI voices that really sound like humans and not robots, you have to pay $100 per month. Which is absolutely out of reach for many people, who are starting their YouTube channel.
That’s why I recommend Murf as an alternative to the WellSaid Labs.
That was a short introduction to all text-to-speech technology I have compared in this article.
So, what do you think? In my opinion, the last two AI tools are sounding pretty good and can be easily used on YouTube as a narration for your video.
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