Best Text-to-Speech APIs for Developers: A Comprehensive Guide
1 min read
Summary
The future of interaction is driven by voice technologies and TTS (Text-to-Speech) APIs are at the centre of this evolution.
TTS APIs are beneficial for those with reading difficulties or visual impairments, and for developers looking to create apps, websites, and software.
AWS Amazon Polly is a robust TTS API that offers personalised speech output and bespoke voices using SSML tags.
It is popular among developers as it can generate speech in various languages.
Murf.ai is a TTS service that integrates seamlessly with Adobe Audition, Canva, Google Slides, and Adobe Captivate, and features a front-end application for Windows.
Deepgram Aura is a TTS API that uses minimal latency and optimisation for human-like conversations, making it suitable for real-time applications.
ElevenLabs uses advanced neural network models to convert text into natural-sounding speech and offers high-quality voice synthesis with personalised parameters.
Speechify is available as a browser extension, and iOS and Android app, featuring a web interface called Studio.
All the APIs listed have their unique features and strengths, and developers should compare each against their specific requirements.