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Murf AI

Murf AI APIs to generate speech, dubbing, and more

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Overview

This node integrates with Murf AI's dubbing service to check the status of an existing dubbing job. It is useful when you have previously submitted a dubbing job (automated voice-over in multiple languages) and want to monitor its progress or retrieve its current state.

Typical use cases include:

  • Polling for completion of a dubbing job before proceeding with further processing.
  • Verifying if a dubbing job has failed or succeeded.
  • Retrieving metadata about the dubbing job status for reporting or logging purposes.

For example, after creating a dubbing job that converts a video’s audio track into another language, you can use this operation to periodically check whether the job is done and ready for download.

Properties

Name Meaning
Job ID The unique identifier of the dubbing job whose status you want to check. This is required to query the job status from the Murf AI service.

Output

The output JSON contains the response from the Murf AI API regarding the status of the specified dubbing job. This typically includes fields such as:

  • Job status (e.g., pending, processing, completed, failed)
  • Progress percentage
  • Any error messages if the job failed
  • Possibly URLs or IDs related to the generated dubbed content

The exact structure depends on the Murf AI API response for the job status endpoint.

This node does not output binary data; it only returns JSON metadata about the dubbing job status.

Dependencies

  • Requires an active Murf AI API key credential configured in n8n to authenticate requests.
  • Uses the Murf AI Dubbing API endpoint to fetch job status information.
  • Network access to https://api.murf.ai is necessary.

Troubleshooting

  • Invalid Job ID: If the provided Job ID does not exist or is malformed, the API may return an error. Verify the Job ID is correct and was obtained from a previous successful dubbing job creation.
  • Authentication Errors: Ensure the API key credential is valid and has permissions to access the dubbing endpoints.
  • Network Issues: Connectivity problems to the Murf AI API will cause request failures. Check your network and firewall settings.
  • API Rate Limits: Excessive polling might trigger rate limits. Implement delays between status checks.
  • Unexpected API Response: If the API changes or returns unexpected data, the node might fail. Review the API documentation and update the node accordingly.

If the node throws errors, enabling "Continue On Fail" allows the workflow to proceed while capturing error details in the output JSON.

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