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.