Design Concept and development: Vanesa Yepes
The Berliner Search is an AI-assisted tool that converts a multi-year magazine PDF archive into structured text, summaries, and semantic embeddings. It provides fast, intelligent search across the publication using FAISS and NLP models.
A system that transforms magazine PDFs into searchable content using AI summarization and semantic search. It enables editors to quickly find relevant articles across two decades of publication.
