Solutions Overview
AI-era research needs a tool truly built for academics, not a generic chatbot. From research to final draft — InkCop for the full journey.
Immersive Literature Reading
Read 20× Faster — From Overwhelmed to Mastery
Facing hundreds of PDFs with nowhere to start? InkCop combines AI reading guides, visual HTML reports, and knowledge graph reasoning to map the field and spot research gaps — fast.
- AI reading guide: grasp one paper's core in 10 min
- Knowledge graph multi-hop reasoning across papers
- Multimodal RAG for charts, curves, and pathology images
AI-Assisted Academic Writing
Keep Your Ideas. AI Polishes the Expression.
AI doesn't write for you — it's your partner, handling memory, retrieval, and verification. Track Changes preserves your originality. Every edit has a traceable reason.
- Track Changes: every AI edit with reasoning, reviewed item by item
- User Profiling Agent: learns your style, increasingly personalized
- Multi-agent: main agent delegates to specialist sub-agents in parallel
Not Writing For You
You are the driver, AI is the engine
Every Edit Reasoned
Track Changes with reasoning, not a black box
Learns Over Time
User Profiling Agent learns your academic style
Citation & Reference Management
Eliminate Fake References. One-Click Formatting.
Burned by AI-generated citations that sound real but don't exist? The Citation Verification Agent uses three-layer checks to eliminate hallucinated references at the root.
- 3-layer: structured parsing → multi-source tracing → semantic check
- Built-in PubMed/arXiv search, one-click batch import to knowledge base
- One-click switch: APA / IEEE / Chicago / GB/T 7714
Structured Parsing
Extract author, year, journal, DOI fields
Multi-Source Tracing
Query PubMed / arXiv / CrossRef in parallel
Semantic Consistency
Confirm citation supports your argument
Local-First Research Workstation
Your Data Sovereignty. Your Academic Privacy.
SQLite + ObjectBox + local vector DB multi-DB architecture stores all papers locally. Supports local Llama/Qwen models — in extreme cases, fully offline operation is possible when you handle PDF/image text extraction manually.
- SQLite + ObjectBox local storage, no academic data upload
- Local Llama/Qwen LLMs — offline-capable in extreme mode (manual PDF/image extraction)
- Optional AES-256 encrypted workspace archives
SQLite / SQLCipher Structured Data ObjectBox + HNSW Knowledge Base Vector Engine Kuzu Graph DB Knowledge Graph llama.cpp Local LLM Inference Complete Feature Overview
All features built into InkCop — no extra subscriptions or plugins
Start Your Fluent Writing Journey
Free download. Experience the AI-native academic writing workflow today.