Tabs to Trails: Turning Browser Tabs into Audio Walks

Developer Nazar Boyko has introduced 'Tabs to Trails,' an open-source project designed to convert unread browser tabs into personalized audio walks. The tool uses a bookmarklet to collect web content, which is then processed locally using the Gemma 4 LLM and the Kokoro-82M text-to-speech model. The application generates a custom MP3 file, complete with pacing cues and reflection questions, allowing users to listen to their reading list while walking without needing an active internet connection. Key features include a 'number guard' to ensure factual accuracy during text summarization and a calibration system that measures audio duration based on character count rather than word estimates. By running entirely on the user's hardware, the project emphasizes privacy and local processing. The source code is available on GitHub, providing a practical example of integrating local AI models into a functional, daily-use productivity tool.