AWS Transcribe and Google Gemini Chat Model integration

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How to connect AWS Transcribe and Google Gemini Chat Model

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Build your own AWS Transcribe and Google Gemini Chat Model integration

Create custom AWS Transcribe and Google Gemini Chat Model workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

AWS Transcribe supported actions

Create

Create a transcription job

Delete

Delete a transcription job

Get

Get a transcription job

Get Many

Get many transcription jobs

AWS Transcribe and Google Gemini Chat Model integration details

AWS Transcribe

Simply enough, Amazon Transcribe converts speech to text automatically. You can use it to get insights from customer meetings, analyze media content, create subtitles and meeting notes, and much more.

AWS Transcribe node docs + examples

AWS Transcribe credential docs

See AWS Transcribe integrations

Related categories

Development

Google Gemini Chat Model

Google Gemini Chat Model node docs + examples

Google Gemini Chat Model credential docs

See Google Gemini Chat Model integrations

Related categories

Other integrations with AWS Transcribe

Other integrations with Google Gemini Chat Model

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