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AI → Transcribe

AI-generated

Overview

The node provides an AI-powered transcription service that converts audio content into text. It supports two input methods: providing a URL to an audio file or supplying the audio data as a Base64-encoded buffer. Users can specify the language of the audio to improve transcription accuracy.

This node is beneficial in scenarios such as:

  • Transcribing interviews, meetings, or podcasts for documentation.
  • Converting voice notes or audio messages into searchable text.
  • Automating subtitle generation for videos.
  • Extracting textual data from audio sources for further processing or analysis.

For example, a user could provide a URL to a recorded webinar and receive a full transcript in English, or upload a Base64-encoded audio snippet in Spanish to get its transcription.

Properties

Name Meaning
Data Type Choose how to provide the audio: either via an audio file URL or a Base64-encoded audio buffer. Options: "Use Audio File URL", "Use Audio File Buffer".
Audio File URL The direct URL to the audio file to transcribe. Used when "Data Type" is set to "Use Audio File URL". Example: https://example.com/audio.mp3.
Audio Buffer The Base64-encoded string representing the audio file. Used when "Data Type" is set to "Use Audio File Buffer".
Result Language The language code of the audio content to guide transcription. Defaults to English (en). Supports many languages such as Arabic (ar), French (fr), Japanese (ja), etc.

Output

The node outputs a JSON object containing the transcription result. This typically includes the transcribed text derived from the provided audio input.

If binary data output is supported (not explicitly shown here), it would represent audio or transcription-related files, but based on the given information, the output focuses on textual transcription results.

Dependencies

  • Requires an API key credential for authentication with the external transcription service.
  • The node sends a POST request to the /ai/transcribe endpoint of the configured API base URL.
  • Proper network access to the audio file URL if using the URL method.
  • The environment must support Base64 encoding/decoding if using the audio buffer method.

Troubleshooting

  • Common issues:

    • Invalid or inaccessible audio URL leading to failed transcription requests.
    • Incorrect or unsupported audio format causing errors.
    • Mismatch between the actual audio language and the selected "Result Language" reducing transcription accuracy.
    • Missing or invalid API authentication credentials resulting in authorization errors.
  • Error messages and resolutions:

    • "Failed to fetch audio file": Check the URL accessibility and ensure it points directly to a valid audio file.
    • "Unsupported audio format": Convert the audio to a supported format before submitting.
    • "Authentication failed": Verify that the API key credential is correctly configured and has necessary permissions.
    • "Transcription service unavailable": Confirm the external service status and retry later.

Links and References

Discussion