deepgram-webhooks

Verify Deepgram webhooks by checking the 'dg-token' header in incoming requests to ensure only authorized callbacks are accepted. The Skill provides ready-to-run examples for authenticating and processing transcription result payloads across multiple frameworks.

Yes, you can handle Deepgram webhooks in Next.js and Express. The Skill provides ready-to-run examples for both frameworks, allowing you to receive, verify via the 'dg-token' header, and parse JSON payloads for downstream transcription processing.

The best way to parse Deepgram transcription payloads is to validate the 'dg-token' header first, then extract the JSON body containing the transcript data. The Skill demonstrates this workflow with ready-to-run examples for reliable, retry-safe processing pipelines.

No external dependencies are required to process Deepgram webhook callbacks. The Skill operates using standard runtimes and provides self-contained examples for Express, Next.js, and FastAPI to authenticate and log transcript data seamlessly.

Deepgram webhook authentication fails when the 'dg-token' header is missing or invalid in the incoming request. Ensure your callback endpoint checks this header correctly to authorize and accept transcription result callbacks.

Yes, you can use FastAPI to receive and verify Deepgram transcription callbacks. The Skill includes ready-to-run examples for FastAPI endpoints, allowing you to authenticate via the 'dg-token' header and process JSON payloads.