Silkwave
Connects cloud and local AI models while simultaneously capturing microphone and system audio, enabling unified recording and analysis of spoken interactions with multiple language model providers.
Silkwave is a desktop tool designed to route, record, and analyze audio for AI-assisted workflows. It allows users to connect multiple AI providersβsuch as OpenAI, Anthropic, and Googleβas well as run local models like Ollama and Apple Intelligence, all within a unified environment. Its primary purpose is to simplify capturing and processing both microphone and system audio so users can leverage advanced language and speech models in real time.
Silkwave can simultaneously capture your microphone input and system audio, making it suitable for transcribing calls, meetings, streams, and other mixed-audio scenarios. By supporting multiple AI backends and local models, it lets users choose the most appropriate model for tasks like transcription, summarization, note-taking, or live assistance. The tool focuses on low-friction setup: once your keys or local models are configured, audio routing and capture can be initiated with minimal manual configuration. This flexibility enables experimentation with different providers and models without changing your core recording workflow.
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