Recap offers two types of summary generation:
- Local Ollama Mode: Default option, runs completely offline, suitable for scenarios with strict privacy requirements. The quality of the summarization depends on the local model performance, suitable for extracting simple meeting points.
- OpenRouter Mode: Requires configuration of API_KEY and networking to generate higher-quality summaries using large models in the cloud. Suitable for occasions that require fine-grained summarization, but will transfer text content to a third-party service.
Users have the flexibility to choose based on meeting sensitivity and summarization needs. The development team is also optimizing the performance of the local model, which may close the gap in summary quality between the two approaches in the future.
This answer comes from the articleRecap: macOS Local Meeting Audio Transcription and Summarization ToolThe
May not be reproduced without permission:AI productivity tools " What are the ways to generate meeting summaries using Recap? What are the features of each?
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