Extract structured insights from meeting transcripts
When a new transcript is ready in Otter.ai, send the raw text to Groq to automatically extract follow-up tasks and custom classifications.
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Otter.ai Explore Otter.ai →
TriggersFires when a new meeting is recorded in Otter.ai.
Fires when an AI-generated summary is ready in Otter.ai.
Fires when a meeting transcript is ready in Otter.ai.
Fires when a new action item is captured from a meeting in Otter.ai.
Uploads an audio or video file to Otter.ai for transcription.
Groq Explore Groq →
TriggersFires when Groq returns a completion, prediction or other result.
Fires when a request to Groq errors or times out.
Fires when a fine-tuning job in Groq finishes.
Sends a prompt to Groq and returns the model's response.
Sends text, an image or other data to Groq and returns the model's output.
Uses Groq to classify or extract structured data from text or images.
More Otter.ai + Groq workflows
Condense meeting summaries with advanced AI models
When a meeting summary is generated in Otter.ai, pass it to Groq to summarize text into executive bullet points.
See details
Process media uploads following fine-tune completions
When a fine-tune job completes in Groq, automatically upload relevant audio files into Otter.ai for processing.
See details
See all Otter.ai + Groq integrations → · Browse the full workflow library →
Common questions
Can Knit build “Extract structured insights from meeting transcripts” between Otter.ai and Groq?
Yes — describe it in the box above and Knit's Integrations Agent researches Otter.ai and Groq's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
How can custom AI models process meeting transcripts?
When a transcript becomes ready in Otter.ai, it can automatically pass to Groq to extract specialized structured insights or key findings.
Can raw meeting audio be analyzed automatically?
Yes, when a fine-tune job or custom model run completes in Groq, you can upload meeting media into Otter.ai for enhanced transcript generation.