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Explainpaper
An AI paper-reading assistant that explains difficult text, formulas, and concepts in plain language
Explainpaper addresses the dense terminology and high reading barrier of academic papers. Users can upload a PDF and select any confusing paragraph, mathematical formula, or concept for an immediate plain-language explanation. It also supports in-depth follow-up questions about the paper, making it useful for students, interdisciplinary researchers, and newcomers who need to understand complex literature quickly.
更新日
2026-09-03
対応プラットフォーム
Web
お試し
Free: upload PDFs, use basic passage explanations, and access limited conversations.Pro / Plus: approximately $6–$12/month, adding unlimited explanations, more advanced models such as GPT-4, support for larger PDFs, and longer-context understanding. Exact plan names, limits, and pricing may change; check the current Explainpaper offer before subscribing.
* 料金は参考情報です。最新の料金は公式サイトをご確認ください
explainpaper.com
主な機能
PDF reading
Work directly with an uploaded paper instead of copying content between tools.
Plain-language answers
Highlight a paragraph, formula, or concept and receive an accessible explanation.
Contextual understanding
Use the paper's surrounding context to clarify specialized terms and arguments.
Follow-up questions
Continue asking questions about the paper in a multi-turn conversation.
おすすめ用途
Early-career researchers and junior graduate students
Highlight dense sentences or concepts and get plain-language explanations that lower the barrier to academic reading.
Cross-domain readers and knowledge explorers
Ask focused follow-up questions about unfamiliar technical papers, white papers, and interdisciplinary arguments.
Time-pressed analysts and industry researchers
Digest academic PDF reports quickly through targeted explanations and summaries instead of reading every line.
長所
- Very simple highlight-and-explain workflow
- Helpful for formulas and specialized terminology
- Accessible to students and non-specialists
注意点
- Focused on individual paper reading rather than broad discovery
- Free conversations are limited
- AI explanations can oversimplify technical nuance
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