Audio to Text Node

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What is an Audio to Text Node?

An Audio to text node allows you to upload an audio recording to be processed as text by the workflow.

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Provider

Specifies the transcription backend.

• deepgram: Uses Deepgram’s API for audio transcription. Supports multiple models and submodels.
• whisper-1: Uses OpenAI’s Whisper v1 model. Does not support model or submodel selection (uses a default configuration).

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Model

Available only when using the deepgram provider. Defines the main model used for transcription.

• nova: Legacy model, fast and lightweight.
• nova-2: Latest generation with improved accuracy and speed.
• enhanced: Optimized for high-quality audio and complex content.
• base: Baseline transcription model with balanced performance.

When using whisper-1, this field is disabled.

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Submodel

Further refines transcription behavior. Available only with deepgram.

• general: Default submodel for general-purpose transcription.
• Other submodels exist depending on Deepgram’s model.

This field is disabled for whisper-1.

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Audio to Text Node Settings

If you click the gear icon in the node, you will see the available settings.

If you’re using your own audio-to-text model, here you can add your own API key to use it.

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How to use it

1. Add an Audio to Text node to your flow.
2. Connect the Audio to Text node to an LLM node.
3. Mention the Audio to Text node in the LLM node by pressing ”/” and selecting the Audio to Text node.
4. Add an Output node to your flow.
5. Connect the Output node to the LLM node.

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Expose the Audio to Text node to your users

1. Go to the Export tab.
2. Enable the audio node in the Inputs section.
3. Press Save Interface to save your changes.
4. Your users should now see an upload button in the interface.