how to implement text to speech
Add text-to-speech to your app in a few steps. Here is the path.
- REST API with Python and TypeScript SDKs
- Authenticate with SPEECHIFY_API_KEY
- Synthesize or stream audio
- Add SSML and speech marks as needed
definition
Implementing text-to-speech means wiring a synthesis API into your app so it can turn text into audio on demand. The path is short: authenticate, choose a voice, send text, handle the audio. The choices that matter are which SDK you use, whether you synthesize files or stream, and which extras (SSML, speech marks) you need.
the-steps
Get an API key and set it as SPEECHIFY_API_KEY. Install the SDK for your language: Python (speechify-api) or TypeScript (@speechify/api), or call the REST API directly. Pick a voice ID from the catalog. Call the synthesis endpoint with your text and voice, and handle the returned audio.
file-vs-streaming
Choose file synthesis when you want a finished clip, such as an audiobook chapter or a fixed IVR prompt. Choose streaming when playback must start at once, such as a voice agent turn or a read-aloud feature. Streaming returns the first audio in under 300ms, which keeps live experiences responsive.
adding-control
Layer in SSML to control pacing, pauses, and emphasis. Request speech marks when you need word-level timing for synced captions or read-along highlighting. Both are additions to the same synthesis call, not separate integrations. See the API reference for endpoint details.
Frequently asked questions
How do I implement text-to-speech?
Which languages have SDKs?
Should I use file synthesis or streaming?
Start building
Add text-to-speech to your app in a few steps. Here is the path.