GoldenRetriever.ai Public Beta

GoldenRetriever revolutionizes how you interact with your personal digital archive by making all your videos, recordings, and documents fully searchable by content, not just keywords. Key features include: • Multimodal content analysis (visuals, audio, text) • Natural language querying across all file types • Timestamped results linked to source material • Support for various file formats (video, audio, PDF, images, documents) • Cross-language search (e.g., German content, English query) This application runs natively on your Mac, indexing content from your internal drives, external storage, and shared volumes while prioritizing your privacy by keeping files under your control. Beyond simple transcript search, GoldenRetriever understands the visual context of presentations, the nuances in audio, and the complete textual content of documents. This comprehensive indexing allows users to pinpoint exact moments in videos, locate specific images by theme, or retrieve relevant information from complex documents with ease. GoldenRetriever is ideal for professionals like wedding videographers searching for specific shots, filmmakers needing to locate scenes, designers recalling visual inspiration, UX researchers analyzing interview feedback, and engineering teams tracking past decisions. It transforms your raw media and documents into a fully searchable knowledge base, allowing you to ask complex questions and receive precise, sourced answers across all your accumulated files.