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AWS S3 and AWS Transcribe integration
Save yourself the work of writing custom integrations for AWS S3 and AWS Transcribe and use n8n instead. Build adaptable and scalable Development, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.
How to connect AWS S3 and AWS Transcribe
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: 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.
Step 2: Add and configure AWS S3 and AWS Transcribe nodes
You can find AWS S3 and AWS Transcribe in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure AWS S3 and AWS Transcribe nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect AWS S3 and AWS Transcribe
A connection establishes a link between AWS S3 and AWS Transcribe (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your AWS S3 and AWS Transcribe integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect AWS S3 and AWS Transcribe with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your AWS S3 and AWS Transcribe workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from AWS S3 to AWS Transcribe or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Transcribe audio files from Cloud Storage
This workflow transcribes audio files stored in AWS S3 and stores the information in Google Sheets.
- Google Drive Trigger node triggers the workflow when a new file is uploaded in Google Drive.
- AWS S3 1 node uploads the new file to an S3 bucket.
- AWS S3 2 node gets the file from the S3 bucket.
- AWS Transcribe 1 node creates a transciption job for the respective audio file.
- Wait node waits for the transcription job from the previous node to be complete before proceeding with the workflow (necessary in case the service is busy or the file to be transcribed is large, delaying the workflow).
- AWS Transcribe 2 node gets the information of the transcription job.
- Set node sets the necessary values to be included in the data set.
- Google Sheets node adds the transcription information to a sheet that serves as data set.
Nodes used in this workflow
Popular AWS S3 and AWS Transcribe workflows
Transcribe audio files from Cloud Storage
This workflow transcribes audio files stored in AWS S3 and stores the information in Google Sheets.
Google Drive Trigger node** triggers the workflow when a new file is uploaded in Google Drive.
AWS S3 1 node** uploads the new file to an S3 bucket.
AWS S3 2 node** gets the file from the S3 bucket.
AWS Transcribe 1 node** creates a transciption job for the respective audio file.
Wait node** waits for the transcription job from the previous node to be complete before proceeding with the workflow (necessary in case the service is busy or the file to be transcribed is large, delaying the workflow).
AWS Transcribe 2 node** gets the information of the transcription job.
Set node** sets the necessary values to be included in the data set.
Google Sheets node** adds the transcription information to a sheet that serves as data set.
Create transcription jobs using AWS Transcribe
This workflow allows you to create transcription jobs for all your audio and video files stored in AWS S3.
AWS S3: This node will retrieve all the files from an S3 bucket you specify.
AWS Transcribe: This node will create a transcription job for the files that get returned by the previous node.
Build your own AWS S3 and AWS Transcribe integration
Create custom AWS S3 and AWS Transcribe 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 S3 and AWS Transcribe integration details
Other integrations with AWS S3
Other integrations with AWS Transcribe
AWS S3 and AWS Transcribe integration tutorials
FAQs
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