Requirements
Before you set up the credential, make sure you have an active AWS Transcribe account and an API access token from your account settings ready.[3]
Get your AWS Transcribe credentials
Connect AWS Transcribe in WEXTL
- Log in to your WEXTL account, add the AWS Transcribe node module to your workflow, and click Create new credential.
- Optional: In the Credential name field, enter a name for the credential.
- Enter the authentication credentials you copied from your AWS Transcribe account, or follow the on-screen instructions to create the credential.
- If prompted, authenticate your account and confirm access.
- If you want to make changes to your credential in the future, follow the steps in Manage credentials →
Notes
Credentials are org-scoped; share them with teammates from the Credentials picker on any of its nodes.For detailed information on connecting an application, see Connect an application →
AWS Transcribe node modules
The list below is a reference of every AWS Transcribe node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.
Each AWS Transcribe node module below opens to reveal its input parameters, outputs, and connection requirements.
Get Transcription JobSearch
Get VocabularySearch
List Transcription JobsSearch
List VocabulariesSearch
Create VocabularyAction
Create Vocabulary FilterAction
Delete Transcription JobAction
| Field | Type |
|---|---|
Transcription Job NameRequired | choice |
Delete VocabularyAction
| Field | Type |
|---|---|
Vocabulary NameRequired | choice |
Make an API Calluniversal
Start Transcription JobAction
| Field | Type |
|---|---|
Transcription Job NameRequired | text |
MediaRequired | object |
Media File URIRequired | text |
| Media Format | choice |
| Language Code | text |
| Identify Language | boolean |
| Language Options | array |
| Language Code | text |
| Output Bucket Name | text |
| Output Key | text |
| Settings | object |
| Vocabulary Name | text |
| Vocabulary Filter Name | text |
| Vocabulary Filter Method | choice |
| Show Speaker Labels | boolean |
| Max Speaker Labels | number |
| Field | Type |
|---|---|
| Transcription Job | object |
Update VocabularyAction
Templates
Look for AWS Transcribe templates in the WEXTL template library.
Browse templates →Explore alternative apps
- AWS Rekognition[2]Detect faces, labels, text, and moderation content in images with Amazon Rekognition.
- AWS TextractExtract text, forms, tables, and expense data from documents with Amazon Textract.
- AmberscriptAutomated and human-verified subtitles and transcripts across 39 languages.
- AWS ComprehendAmazon's natural language processing service for finding insights in text.
- BotsonicNo-code AI chatbot builder for customer support, FAQs, and automated conversations on websites.
References
- WEXTL® AWS Transcribe Source Code connector implementation.
- Our users use cases and automations.
- Official API Documentation for AWS Transcribe.
- WEXTL® visual workflow builder data.
Last updated: Sep 3, 2026 08:02