SciSummary

PDF, URL, and Text Input

Summarize from pasted text, links, or uploaded files. The system detects sections such as abstract, methods, and results, then extracts evidence sentences with statistics. Boilerplate and navigation are removed. Users select target length and emphasis. By standardizing inputs and outputs, readers skim consistently, avoid formatting quirks, and create comparable notes that support reviews and writing under deadline.

Objectives, Methods, and Results

Briefs outline the research question, study design, sample, and key findings. Limitations are summarized to note bias and scope. Visual cues separate outcomes from interpretation. This structure makes it easier to decide relevance and quality before a deep read. Instead of chasing scattered highlights, teams use a clear snapshot that respects scientific nuance while saving time across heavy weekly reading loads.

Traceable Sentences and Citations

Highlighted sentences link back to their exact location in the paper with section labels. DOIs and reference items are captured where possible. This traceability supports fact-checking and prevents misquotes. When findings are reused in slides or briefs, sources remain one click away, which builds confidence in discussions and reduces friction during peer review, audits, and collaborative writing sessions.

Length, Noise Filters, and Deduplication

Choose summary size by sentence count or relative compression. Filters strip navigation, stop words, and repeated phrases; deduplication prevents circular lines. These controls balance brevity and completeness across disciplines. Readers keep focus on the signal, making better judgments about which materials deserve attention now and which should move to a follow-up list for later, deeper study.

Exports, Libraries, and Collaboration

Export to Word, Markdown, or citation tools with clean metadata. Personal libraries organize saved summaries by topic and status. Shared folders let classmates or lab members react and divide reading. This organization turns scattered downloads into a working knowledge base that speeds literature reviews, keeps terminology aligned, and ensures important studies are easy to rediscover when projects evolve.