transcript-processor

To process meeting transcripts, the system automatically generates structured outputs containing summaries, action items with owners, and ideas from raw text. It handles end-to-end processing to reduce manual notes and enable fast decision-making.

Transcript processing for customer calls includes automatic type detection, privacy filtering, and speaker anonymization. It produces structured summaries and creates linked records in dedicated databases with provenance tracking back to the source transcript.

Yes, you can extract action items with owners and due dates from product review transcripts. The processing logic identifies specific tasks mentioned in the discussion and structures them for immediate follow-up and accountability.

Yes, transcript processing creates linked entities such as Ideas and Features directly within dedicated Notion databases. These records maintain provenance to the source transcript, ensuring full traceability of generated insights.

Privacy filtering and speaker anonymization are built into the transcript processing pipeline. The system automatically detects and masks sensitive speaker information before generating structured outputs like summaries and action items.

Supported discussion types include meetings, product reviews, design discussions, and customer calls. The system applies automatic type detection to categorize the transcript and generate appropriate structured outputs based on the context.