When utilizing Deepgram's Speech-to-Text API to transcribe lengthy audio files, users may encounter oversized webhook payloads. This occurs because the API, by default, provides multiple sections of transcript data, leading to significantly large payloads for extended audio files.
Currently, the API's webhook includes a detailed response that contains multiple sections of the same transcript data:
$.results.channels[0].alternatives[0].transcript
and $.results.channels[0].alternatives[0].paragraphs.transcript
.$.results.channels[0].alternatives[0].paragraphs.paragraphs
and $.results.utterances
, leading to duplication.For lengthy audio files, such detailed data can result in webhook payloads that exceed server capacity, triggering errors like the HTTP 413 "Request Entity Too Large."
Increase Server Capacity: Adjust the server settings to handle larger payloads, if possible.
Segment Audio Files: Developers may opt to split audio into smaller segments before sending API requests to reduce the size of each webhook payload.
Selective Data Feature: While not yet implemented, there is discussion within Deepgram about a feature to send only necessary sections of data, such as utterances. This would substantially reduce payload size and is worth monitoring for future updates.
Reducing the webhook payload size benefits both Deepgram and its clients:
While Deepgram has not yet implemented selective data transmission in webhook responses, they recognize the need. For developers experiencing this issue, consider the above workaround strategies. If issues persist or the system behavior seems inconsistent, reach out to your Deepgram support representative (if you have one) or visit our community for assistance: Deepgram Community.