Aisha AI
by voicelab

AI voice workflow

Text to speech API

Connect TTS to your product, CRM, chatbot or call-center stack. The API turns text into audio and fits automated business workflows.

Aisha AI · Updated

API docs Try TTS

Use case

TTS API
Chatbot replies
CRM messages
Voice-agent output

Quick answer

Text to speech turns a written script into audio. Choose a language and voice, then check the result with the people who will listen to it.

What does it solve?

Create narration, spoken instructions and customer messages from text. Review names, numbers and pacing before sharing the audio.

How does it connect?

Try a short sample in Space. For repeated work, check the API reference for supported languages, request formats, limits and result retrieval.

Which languages should I test?

Test every language and regional accent your audience uses. Evaluate language switches separately, and confirm support for your chosen service rather than assuming TTS and STT have identical catalogs.

A dedicated developer-intent page

Strong product sites separate API searches from general product searches. This page is for engineers evaluating Aisha TTS integration.

Sync and async workflows

Simple requests can return quickly, while longer or structured processing can use webhook and status-check patterns.

Local speech inside your product

Uzbek audio output is useful for onboarding, support, voice-agent responses and product notifications.

What to check before launch

Evaluate results with your own material. Keep separate results for each language and recording or playback condition.

Try a representative sample

Generate a short script. Check pronunciation, numbers, pauses and missing words with a fluent listener.

Connect it to the product

Keep API credentials on your server. Check documented formats, limits and response states, and test a failed request before automating the process.

Review each language

Do not generalize one language result to the entire catalog. Ask someone familiar with the target accent and terminology to review the output.

How it works

1

Prepare your API key.

2

Send text, language and voice parameters.

3

Use the returned audio URL or task status in your product.

Practical guides

How to evaluate multilingual text to speech

Compare TTS voices with a repeatable test for pronunciation, accents, numbers and pacing. Includes sample prompts and a scorecard for each language.

Which workflow fits your use case?

Frequently asked questions

Which languages does the TTS API support?

Aisha TTS is used for Uzbek, Russian and English speech output workflows.

Are webhooks supported?

Yes. Async processing can use a webhook flow.

Where are code examples documented?

The text-to-speech API docs include endpoints, parameters and response objects.