Define a useful result
Write down the audience, language, accent and playback channel. Keep names, dates and product terms in your test script.
TTS and audio generation workflow
Once text becomes audio, the output can be used for voiceovers, IVR prompts, voice-agent responses or product messages.
App first, API when needed
Teams can validate the workflow in the Space app, then automate it through the API. Format, limits and endpoint details should stay governed by the official documentation.
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 the text or document text.
2
Send it to Aisha TTS.
3
Download the audio or connect it to your product.
Which workflow fits your use case?
TTS language pages
API and developer paths
Use case pages
Related pages
Frequently asked questions
Is Aisha suitable for Multilingual text to speech?
Start by testing creating audio from Uzbek, Russian and English text through separate TTS workflows with representative material. Confirm the target language and required features in Space or the API documentation before planning a full integration.
Can this work through an API?
Yes. The text-to-speech API supports turning text into audio and automating that workflow.
Where are exact formats and limits documented?
Supported formats, limits and endpoint details are handled in the official Aisha API documentation.