Introducing Nick Bild’s innovative project, PageParrot, designed for those reluctant to read physical books. Utilizing advanced AI and multimodal models, PageParrot transforms printed text into audio with remarkable ease. The application operates on a Raspberry Pi Zero 2 W, requiring minimal hardware—a simple USB webcam suffices. With just 80 lines of Python code, much of which integrates existing libraries, users can convert black-and-white glyphs into understandable speech. Key components include the CV2 library for camera interfacing and Google’s GenAI, which employs the Gemini 2.5 Flash LLM to promptly extract text from images. The captured text is then processed and converted into a WAV audio file using Piper, allowing for immediate playback. PageParrot exemplifies how accessible technology can enhance reading experiences. Experience the simplicity of turning any book into a DIY audiobook and embrace this fun, instructive project that combines coding and creativity effortlessly.
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