Sciscoper

Hey everyone, Francis here — founder of Sciscoper. I built Sciscoper because as a PhD student, I kept running into the same frustrating problem: doing a proper literature review takes forever. Even with PDFs, search engines, and reference managers, I spent weeks manually comparing methods, findings, and gaps across papers. I realized researchers don’t just want summaries, they need structured reviews, insight extraction, and research mapping to truly understand a field. So I built Sciscoper to generate structured literature reviews, compare findings, extract key insights, and map research landscapes. The goal is simple: help people think faster, not just read faster. What does Sciscoper do? Structured Literature Reviews Sciscoper generates rich, structured literature reviews that organize a field into themes, methods, debates, and open questions. It helps you see not just what the papers say, but how the field fits together. Comparative Analysis Across Papers Instead of reading dozens of PDFs manually, you can compare methods, datasets, results, limitations, and assumptions instantly. Sciscoper highlights agreement, conflict, and nuance across the literature. Deep Insight Extraction It extracts theories, hypotheses, variables, models, limitations, and future directions. This gives you clarity that usually requires days or weeks of reading. Semantic Search That Thinks Like You Search by concept rather than keywords and discover relevant research you might otherwise miss. Automatic Reference Management Import papers, extract metadata, generate citations, add tags and annotations to your PDFs and keep your library organized with zero manual effort. Excited to hear your feedback and ideas — this is just the beginning! 🚀