- What Text-to-Speech Does
- Where Text-to-Speech Is Configured
- Choosing a Text-to-Speech Provider
- Voice Selection and Output Control
- Text-to-Speech in Real-Time Chatbots
- Interaction With Chatbot Workflows
- Handling Long Responses
- User Control and Accessibility
- Performance and Cost Considerations
- What Text-to-Speech Does Not Do
- Common Mistakes
- Best Practices
- Summary
Text-to-Speech (TTS) in Aimogen chatbots allows AI responses to be spoken aloud, turning a standard chatbot into a voice-enabled interface. This feature is optional, configurable, and designed to work in real time without changing how chatbot logic, workflows, or prompts operate.
TTS affects output only. It does not change reasoning, triggers, or conversation flow.
What Text-to-Speech Does #
When enabled, Text-to-Speech:
- converts chatbot replies into audio
- plays the audio automatically or on demand
- runs alongside the normal text response
- works with standard and real-time chatbots
The chatbot still generates text first. Audio is a secondary representation.
Where Text-to-Speech Is Configured #
Text-to-Speech is configured at the chatbot level.
Path:
Aimogen → Chatbots → Edit Chatbot → Voice / Audio Settings
TTS can be enabled or disabled per chatbot. There is no global forced setting.
Choosing a Text-to-Speech Provider #
Aimogen supports Text-to-Speech through supported AI providers that expose speech synthesis APIs.
Once a provider API key is entered in:
Settings → API Keys
Available voices and models will appear automatically in the chatbot settings.
No additional enable switches are required beyond selecting the voice.
Voice Selection and Output Control #
For each chatbot, you can define:
- voice model
- voice style (provider-dependent)
- audio format
- playback behavior
Typical options include:
- automatic playback after response
- manual play button
- mute by default
Voice selection affects presentation only, not AI behavior.
Text-to-Speech in Real-Time Chatbots #
In real-time (voice-enabled) chatbots:
- user input may be spoken
- AI replies are generated immediately
- replies are spoken back using TTS
- latency depends on provider speed
This creates a conversational, voice-first experience.
Interaction With Chatbot Workflows #
Text-to-Speech does not interfere with:
- triggers
- hardcoded workflows
- appended system prompts
- external actions
- conversation termination
Workflows run exactly the same way. TTS simply voices the final output.
Handling Long Responses #
For long responses:
- audio generation may take longer
- playback may feel delayed
- some providers may truncate or chunk output
Best practice is to:
- keep spoken responses concise
- avoid reading long articles aloud
- design voice chatbots with brevity in mind
Voice UX is different from text UX.
User Control and Accessibility #
You should always assume:
- not all users want audio
- not all environments allow sound
Good setups:
- allow users to mute audio
- respect browser autoplay rules
- avoid forcing audio on page load
Accessibility is a design choice, not an AI feature.
Performance and Cost Considerations #
Text-to-Speech:
- adds an extra API call per response
- increases latency slightly
- increases cost per interaction
For high-traffic chatbots, TTS should be enabled selectively.
What Text-to-Speech Does Not Do #
Text-to-Speech does not:
- change chatbot intelligence
- alter prompts or reasoning
- replace chatbots with voice assistants
- record user audio automatically
- store audio permanently
- bypass consent requirements
It converts text to sound, nothing more.
Common Mistakes #
- enabling TTS for text-heavy bots
- using verbose prompts in voice chatbots
- forcing autoplay without user control
- ignoring latency implications
- enabling TTS globally without testing
Voice-first design requires intention.
Best Practices #
Use Text-to-Speech where voice adds value: support bots, onboarding assistants, real-time help, accessibility use cases. Keep responses short, offer mute controls, test with real users, and combine TTS with real-time chatbots for the best experience.
Summary #
Text-to-Speech setup in Aimogen chatbots allows AI responses to be spoken aloud using supported AI voice providers. Configured per chatbot, TTS operates purely at the output layer and does not affect chatbot logic, workflows, or reasoning. When used deliberately—especially in real-time chatbots—Text-to-Speech enhances accessibility and engagement without compromising control or predictability.
