

Find out what your peers are saying about Amazon Web Services (AWS), Deepgram, Google and others in Text-To-Speech Services.
| Product | Mindshare (%) |
|---|---|
| Amazon Polly | 19.5% |
| Murf Text to Speech | 0.6% |
| Other | 79.9% |
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.
Murf Text to Speech is celebrated for its lifelike voice quality, broad range of voices, and user-friendly interface, making it a premier choice for creating voiceovers, marketing content, audiobooks, and podcasts. Its ability to elevate digital content accessibility and engagement across various domains, alongside features that allow for detailed editing and fine-tuning, positions Murf as a versatile tool. Users laud its contribution to enhancing operational efficiency, team collaboration, and organizational growth, making it an invaluable asset for content creators and businesses alike.
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.