Live workflow

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Initiate your real-time session

First, call the POST /v2/live endpoint and pass your configuration. It’s important to correctly define the properties encoding, sample_rate, bit_depth and channels as we need them to parse your audio chunks.

You’ll receive a response with a WebSocket URL to connect to. If you loose connection, you can reconnect to that same URL and resume where you left off. Here’s an example of a response:

{
  "id": "636c70f6-92c1-4026-a8b6-0dfe3ecf826f",
  "url": "wss://api.gladia.io/v2/live?token=636c70f6-92c1-4026-a8b6-0dfe3ecf826f"
}

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Connect to the WebSocket

Now that you’ve initiated the session and have the URL, you can connect to the WebSocket using your preferred language/framework. Here’s an example in JavaScript:

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Send audio chunks

You can now start sending us your audio chunks through the WebSocket. You can send them directly as binary, or in JSON by encoding your chunk in base64, like this:

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Read messages

During the whole session, we will send various messages through the WebSocket, the callback URL or webhooks. You can specify which kind of messages you want to receive in the initial configuration. See messages_config for WebSocket messages and callback_config for callback messages.

Here’s an example of how to read a transcript message received through a WebSocket:

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Stop the recording

Once you’re done, send us the stop_recording message. We will process remaining audio chunks and start the post-processing phase, in which we put together the final audio file and results with the add-ons you requested.

You’ll receive a message at every step of the process in the WebSocket, or in the callback if configured. Once the post-processing is done, the WebSocket is closed with a code 1000.

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Get the final results

If you want to get the complete result, you can call the GET /v2/live/:id endpoint with the id you received from the initial request.

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Full sample

You can find a complete sample in our Github repository:

• Typescript/Javascript
• Python
• Browser