📚 Research Phase · Literature Survey

Immersive Literature Reading

Read 20× Faster — From Overwhelmed to Mastery

Facing hundreds of PDFs with no idea where to start? InkCop combines AI reading guides, visual HTML reports, and knowledge graph reasoning to help you map the field, spot research gaps, and build systematic understanding — fast.

20×
Faster reading speed
100%
Local storage, private
Knowledge base capacity
10min
To grasp one paper
01

Batch Import

Drag a PDF folder into the knowledge base, or batch import from PubMed/arXiv. AI auto-recovers metadata.

02

AI Parse & Index

System auto-vectorizes documents, builds a local knowledge graph, and identifies core concepts and inter-paper links.

03

Guide & Visualize

One-click reading guides and HTML visual reports for each paper. Grasp the core in 10 minutes.

04

Graph Reasoning

Ask AI — knowledge graph multi-hop reasoning connects implicit logic across papers to reveal research gaps.

Core Features

A feature set designed for efficient literature digestion

📖

AI Reading Guides

AI auto-generates a structured reading guide for every paper. Grasp the core structure of any paper in 5 minutes — no more inefficient line-by-line reading.

AI Reading Guides
📊

Visual HTML Reports

Transform dense academic papers into interactive HTML reports with data cards and graph guides for at-a-glance comprehension.

Visual HTML Reports
🕸️

Knowledge Graph Association

Auto-extracts core concepts and relationships from each paper. AI performs multi-hop reasoning to connect implicit threads across papers.

Knowledge Graph Association
🔬

Multimodal RAG

Not just text — deeply recognizes charts, curves, and pathology images from papers, converting them into searchable knowledge units.

Multimodal RAG
📌

PDF Native Annotation

PDF documents retain original layout with full highlight and annotation support. All annotations sync to the knowledge base for retrieval.

PDF Native Annotation
🎯

@Precise Targeting

@document, @knowledge article, @specific text — pin context to objective entities for grounded answers with traceable sources.

@Precise Targeting