Explainpaper
Free tierRead research papers 10x faster with AI-powered explanations and insights
Free tier available·All audiences·Powered by OpenAI (LLM-based, unspecified)
Key strengths
Highlight-to-explain: instant in-context explanations of confusing textChat with the paper for accurate, citation-backed Q&AAuto-generated outlines, key points, and concept relationshipsSupports 50+ languages for explanationsAdjustable complexity from beginner to expert level
Free tier + paid plans · from $16 USD/mo
Founded 2022
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Technical Overview & Integration Notes
Architecture Explainpaper operates as a hosted SaaS web application. Uploaded PDFs are parsed server-side and fed into an LLM context window, enabling the model to answer questions and generate explanations grounded in the full document.
Core Feature Modules
- Highlight Explanations: Selected text spans are sent to the LLM along with surrounding paper context, returning a simplified explanation. Complexity level is a user-controlled parameter.
- Paper Chat: A retrieval-augmented or full-context chat interface allowing multi-turn Q&A with the paper. Responses include citations to specific sections.
- Auto-Insights: Server-side generation of structured outlines, key point extraction, and concept relationship mapping upon paper upload.
Model Tiers
- Free tier: Basic AI model (likely GPT-3.5 class or equivalent)
- Pro tier: Advanced AI model (likely GPT-4 class or equivalent), required for full-paper summarization
Language Support Explanations can be returned in 50+ languages, suggesting a multilingual LLM backbone with language detection or user-preference routing.
No public API is currently documented. Integration is via the web UI only. Highlights and explanations are persisted in user accounts on the Pro plan.