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Compare Amazon Polly vs. IBM Watson Text To Speech

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3,330 views|3,044 comparisons
IBM Watson Text To Speech Logo
857 views|715 comparisons
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Pricing and Cost Advice
"The price could be better. Neural voices are so realistic, and I want to say that they have it so that you can try to tell where the voice is coming from or something like that. But if I have more than one, it's so expensive to have to listen to a bunch of cases on my phone and have the neural voice read to me. It really wouldn't be worth it. It'd be paying probably more than what I make in the case. Right now, I'm on the free tier, and I think the number of minutes that you get is reasonable as long as you're not doing this all the time and you're using it judiciously. I have some credits that I think I can use, but I don't know how fast they'll go through."

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Questions from the Community
Top Answer: Amazon Polly is useful because it's helpful to hear the words on top of it when I can't take in information in a general way. Sometimes, it's very taxing if I'm trying to read cases. They have the… more »
Top Answer: The price could be better. Neural voices are so realistic, and I want to say that they have it so that you can try to tell where the voice is coming from or something like that. But if I have more… more »
Top Answer: The price could be better. I wish it weren't so expensive to do because it's really cool. I would love to see them have lexicon packages of them like, this is for lawyers, this is for accountants, and… more »
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Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly's Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech. With dozens of lifelike voices across a broad set of languages, you can build speech-enabled applications that work in many different countries.

In addition to Standard TTS voices, Amazon Polly offers Neural Text-to-Speech (NTTS) voices that deliver advanced improvements in speech quality through a new machine learning approach. Polly’s Neural TTS technology also supports two speaking styles that allow you to better match the delivery style of the speaker to the application: a Newscaster reading style that is tailored to news narration use cases, and a Conversational speaking style that is ideal for two-way communication like telephony applications.

Finally, Amazon Polly Brand Voice can create a custom voice for your organization. This is a custom engagement where you will work with the Amazon Polly team to build an NTTS voice for the exclusive use of your organization.

With Watson Text to Speech, you can generate human-like audio from written text. Improve the customer experience and engagement by interacting with users in multiple languages and tones. Increase content accessibility for users with different abilities, provide audio options to avoid distracted driving, or automate customer service interactions to increase efficiencies.

Learn more about Amazon Polly
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Sample Customers
GoAnimate, Duolingo, Bandwidth
American Airlines, UBank, Bitly, Eurobits
Top Industries
Comms Service Provider32%
Computer Software Company19%
Media Company8%
Comms Service Provider41%
Computer Software Company21%
Media Company5%
Educational Organization5%

Amazon Polly is ranked 1st in Text-To-Speech Services with 1 review while IBM Watson Text To Speech is ranked 4th in Text-To-Speech Services. Amazon Polly is rated 7.0, while IBM Watson Text To Speech is rated 0.0. The top reviewer of Amazon Polly writes "A text to spoken audio solution with a realistic neural voice feature, but the price could be better". On the other hand, Amazon Polly is most compared with Google Cloud Text-to-Speech and Microsoft Azure Speech Service, whereas IBM Watson Text To Speech is most compared with Google Cloud Text-to-Speech.

See our list of best Text-To-Speech Services vendors.

We monitor all Text-To-Speech Services reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.