Literature reviews across 40 papers, zero lost connections
You read 40 papers for a literature review. You highlighted key findings, marked methodologies, flagged contradictions. But the connections between papers live only in your head. Highlyt makes them permanent, visible, and AI-searchable.
Start Free TrialHow researchers use Highlyt
Separate methodology from findings
Rose for methodology, sage for results, amber for theoretical frameworks. Across 40 papers, color-coding lets you pull all methodologies or all findings with one filtered search.
Build a living literature map
Paper A's methodology addresses Paper B's limitation. Paper C's findings support Paper A's hypothesis. Link those highlights. Your knowledge graph becomes a literature review that grows with every paper.
Feed structured context to AI
Connect Claude via MCP. Ask: "What methods have I highlighted across all papers on attention mechanisms?" It returns structured findings from your annotations, not generic web answers.
Frequently asked questions
Can I annotate research papers efficiently with Highlyt?+
Yes. Upload any PDF paper, highlight passages with semantic colors (methodology, findings, frameworks), and link related highlights across papers. Full-text search lets you find any annotation across your entire paper library instantly.
How does the knowledge graph help with literature reviews?+
The knowledge graph lets you draw labeled connections between highlights from different papers. 'Paper A supports Paper B' or 'Paper C contradicts Paper D.' Over time, your graph becomes a visual literature map showing how the field connects.
Can I export my annotations for a paper?+
Yes. Export as structured JSON (includes color labels, page numbers, linked highlights, and notes) or as Markdown. The JSON format gives AI tools full context about your annotations, not just raw text.
Your literature review deserves better tools
7-day free trial. Upload your first 3 papers. Start connecting ideas across your reading.