TTS and STT are two sides of the same coin — one converts text to audio, the other converts audio to text. StreamTranslate uses STT to give every viewer live captions. Here's how TTS fits into the streaming ecosystem.
Add Live Captions (STT) FreeText-to-Speech (TTS) technology converts written text into synthesized spoken audio using AI voice models. In the streaming context, TTS appears most prominently in donation and tip alerts — when a viewer donates with a message, TTS reads that message aloud using a synthetic voice so the streamer and audience can hear it without the streamer needing to read the chat constantly.
TTS alerts have become a core engagement mechanic on Twitch and YouTube Live. Viewers use them to get the streamer's attention, deliver punchlines, trigger reactions, and participate in community jokes. Platforms like StreamElements and Streamlabs provide built-in TTS alert systems that integrate with Twitch bits, YouTube Super Chats, and other monetization systems.
Beyond alerts, TTS is also used in channel point redemptions (viewers spend channel points to trigger a TTS message), chatbot responses, accessibility overlays for visually impaired streamers, and voice synthesis for content creation. The quality of TTS has improved dramatically in recent years — modern TTS systems from ElevenLabs, OpenAI, and Google produce voices that are nearly indistinguishable from human speech.
TTS and STT are inverse technologies. TTS takes text as input and produces audio as output. STT takes audio as input and produces text as output. StreamTranslate is primarily an STT application — it captures your microphone audio and converts it to text (captions) that viewers can read on screen.
For streamers building a fully accessible experience, TTS and STT serve different audiences. STT-powered captions (like StreamTranslate provides) help deaf and hard-of-hearing viewers who cannot hear your audio. TTS tools can help visually impaired viewers or non-reading audiences access text-based chat and alerts as spoken audio. Together, they create a more inclusive stream for diverse viewer needs.
StreamTranslate focuses on the STT side — using Deepgram Nova-2 to convert your speech into highly accurate captions in real time, with optional translation into 125+ languages via NMT. If you're looking for caption-based accessibility for your stream, StreamTranslate's STT pipeline is the right tool. For TTS alerts and donation messages, StreamElements or Streamlabs are purpose-built solutions.
Donation TTS alerts via StreamElements or Streamlabs let viewers send audio messages that play during your stream for instant engagement.
StreamTranslate's STT pipeline converts your speech to live captions for deaf, HoH, and non-native-speaker viewers using Deepgram Nova-2.
Combining TTS alerts with STT captions creates a fully accessible stream experience for viewers with different accessibility needs.
TTS converts written text into synthesized spoken audio. Streamers use it for donation alerts, chatbot responses, and channel point redemptions that play audio messages during streams.
TTS converts text to audio; STT converts audio to text. They are inverse processes. StreamTranslate uses STT to generate live captions from your microphone audio.
StreamTranslate primarily uses STT to transcribe your voice for live captions. TTS output is not a core StreamTranslate feature.
StreamElements TTS, Streamlabs TTS, and Twitch channel point TTS redemptions are the most popular TTS tools for live streaming.
TTS helps visually impaired viewers access text-based content as audio. It complements STT-based live captions for comprehensive accessibility coverage across different viewer needs.