A chatbot that can be used to automate your business or for fun. For more info: https://robomatic.ai, REST API documentation: https://robomatic.ai/doc/API_-_REST
The Voice RSS Text-to-Speech (TTS) API allows conversion of textual content to speech easier than ever. Just connect to our Text-to-Speech (TTS) API with a few lines of code and get verbal representation of a textual content.
Rev.ai provides the most accurate speech-to-text service on the market via a REST API. Get more out of your audio and video with our unmatched accuracy.
This filter detects offensive English swear words based on if they SOUND like bad words on your list. This filter matches by phonetic patterns and can block bad words that have been purposefully misspelled. This is useful when you need to be sure a message in non offensive, such as TTS applications.
TTS APIs (text to speech APIs) can be used to enable speech-based text output in an app or program in addition to providing text on a screen.
Text to speech (TTS), also known as speech synthesis, is the process of converting written text to spoken audio. In most cases, text to speech refers specifically to text on a computer or other device.
First, a program sends text to the API as a request, typically in JSON format. Optionally, text can often be formatted using SSML, a type of markup language created to improve the efficiency of speech synthesis programs.
Once the API receives the request, it will return the equivalent audio object. This object can then be integrated into the program which made the request and played for the user.
The best text to speech APIs also allow selection of accent and gender, as well as other options.
Text to speech is crucial for some users with disabilities. Users with vision problems may be unable to read text and interpret figures that rely on sight alone, so the ability to have content spoken to them instead of reading can mean the difference between an unusable program and a usable one.
While screen readers and other types of adaptive hardware and software exist to allow users with disabilities to use inaccessible programs, these can be complicated and expensive. It’s almost always better to provide a native text-to-speech solution within your program or app.
Text-to-speech APIs can also help nondisabled users, however. There are many use cases for text to speech, including safer use of an app or program in situations where looking at a screen might be dangerous, distracting or just inconvenient. For example, a sighted user following a recipe on their phone could have it read aloud to them instead of constantly having to clean their hands to check the next step.
Using an API for text to speech can make programs much more effective.
Especially because speech synthesis is such a specialized and complex field, an API can free up developers to focus on the unique strengths of their own program.
Users with disabilities also have higher expectations than in the past, and developers are better off meeting their needs with a robust, established text to speech API rather than using a homegrown solution.
Any text to speech API will return an audio file.
The best produce seamless audio that sounds like it was spoken by a real human being. In some cases, APIs even allow developers to create their own voice model for the audio output they request.
High-quality APIs of any sort should also include support and extensive documentation.
All text to speech APIs are supported and made available in multiple developer programming languages and SDKs including:
Just select your preference from any API endpoints page.
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