Text-to-speech (TTS) technology scans text content and using machine learning converts the text into an audio format that can be heard by the user.
Today TTS is highly accessible. You will find it nearly in any text-based tool like book apps, dictionaries, chat tools, doc scanners, tools for those which vision problems, and more. The growth has been driven by large tech companies such as Amazon, Google, and Microsoft. There are also many other companies and startups in the space.
How Text-to-Speech Works
Text-to-speech uses machine language to convert text to audio format. This process may sound simple, but that would be a poor assumption. This technology was available in the 80’s but has been perfect due to the evolution of machine learning that came in the last 10 years.
There are other versions of TTS, for example, OCR – Optical Character Recognition. OCR use visual recognition tools like cameras to scan the written text and then convert it to audio format. This is especially useful for the visually impaired.
Top Apps that use Text-to-Speech
NaturalReader – text to speech app that reads text, PDF, webpages, and eBooks aloud.
AudiBrow – reads aloud written news content from top news sites
Google Text to Speech – Google Text-to-speech powers applications to read the text on your screen aloud.
Text-to-speech (TTS) is versatile and powerful. It can be applied to many applications where visual text consumption was the primary method. Voice text is high quality and very human-life which is adding the growth of TTS usage.