AI voice workflow

JavaScript text to speech API

Plan your JavaScript text to speech API integration with a sample request, the required output format and a clear error-handling strategy. Keep API credentials on your server.

Aisha AI · Updated

Use case

Node.js backend
npm CLI
WebSocket client
Server-side TTS

Test one request first

For JavaScript text to speech API, start with a short input in your target language. Verify the response and measure processing time before connecting a queue or customer-facing feature.

JavaScript, npm and WebSocket

Aisha docs reference the `aisha-ai` npm package, CLI and browser WebSocket examples; production keys should be managed server-side.

Handle errors and retries

Use the current API reference to check authentication, limits and response states. Test invalid input and failed requests before automating repeated work.

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 use case and API key.

2

Choose the endpoint and format from the docs.

3

Connect the integration from your backend or server flow.

Frequently asked questions

Are there official docs for JavaScript text to speech API?

Yes. The page links to the relevant Aisha API documentation.

Does this replace code examples?

No. Code and endpoint details stay in the official docs.

Should API keys be used directly in the browser?

Private API keys are safer on the server side; the final architecture depends on the product.