Explainpaper

  • SF-based, founded 2022 by Aman Jha + Jade Abbott, pre-seed/early VC (JHA Capital), ~400K+ researchers, private. No acquisition, no sunset, no shutdown — but maintenance cadence slowed since 2025 (no changelog/blog, empty GitHub org, co-founder LinkedIn dropped the role; site/billing still live Aug 2026). Category ai-productivity-data, pipeline_stage=none. Edu/research-productivity lane — extra card, not in your original 11.Official site: https://www.explainpaper.com

    Pricing: https://www.explainpaper.com (in-app Pro/Teams)

    Explainpaper — Highlight-to-Explain AI Reader for Dense Research Papers (Context-Grounded Plain-English Fixes)

    Snapshot

    Field Value
    Status Active (site live, billing runs, free tier works Aug 2026) — low-momentum maintenance mode
    Origin Explainpaper, SF, 2022, Aman Jha + Jade Abbott, pre-seed (JHA Capital)
    Lane Single-paper reading comprehension (highlight confusing text → in-context plain-English explanation)
    Core interaction Upload PDF → highlight sentence/equation/jargon → explain; follow-up Q&A grounded in paper
    Users 400K+ researchers (self-reported)
    Category ai-productivity-data / edu-research-productivity sublane

    Features (table)

    Layer Capability Notes
    In-context explain Highlight any span → plain-English fix at beginner→expert level, 50+ languages, paper-context grounded (not generic dictionary) Core differentiator vs ChatPDF
    Math & figures Pro: “Math Explain” for formulas, figure/table interpretation Free tier = basic model only, no math
    Paper chat Follow-up Q&A, cite specific sections, summarize key findings, smart outline Single-paper scope — no cross-paper corpus Q&A
    Inputs PDF upload, paste text, Zotero library import No YouTube/audio/web-article (vs Mindgrasp/Coconote)
    UX Side-panel highlight, no bulky file manager, distraction-free Deliberately narrow (“highlight→explain”)
    No No literature discovery (≠ Elicit), no structured flashcards (≠ Scholarcy), no API, no LMS/LTI, no mobile app, no team collab on consumer tiers Reading-comprehension only

    Pricing (2026-09, USD)

    Tier Price Includes
    Free $0​ (no card) Unlimited highlight explanations + follow-up Q&A, Zotero import, basic AI model, ~5 paper uploads/mo (sources vary 5/upload-cap vs unlimited highlights)
    Pro **12/mo effective) Advanced models, full-paper summary, saved highlights/explanations, per-paper Q&A, Math Explain (formulas/figures)
    Teams Custom quote Everything in Pro + team management, priority support, volume discounts

    starting_price=$0; first paid 12/mo annual). No API tier, no per-seat baseline like LangSmith.

    Reviews (2026)

    Source Signal
    ToolChase 4.2/5, RecaTools 6/10 Praised: highlight UX beats chat for real reading, free tier genuinely usable (unlimited explains), context-grounded answers, math explain on Pro. Criticized: single-paper only​ (no Elicit/Humata cross-corpus), maintenance drift since 2025 (no changelog, empty GitHub, founder LinkedIn dropped co), ChatGPT/Claude/NotebookLM now cover same job + more
    ToolRadar Mid-pack 9.99, Elicit 12, ResearchRabbit $12.50); “advanced math/summary behind paywall”
    Common praise 30-min paper grasp, explain why a formula works not just what symbol means, 50+ lang, Zotero sync
    Common complaint Free caps (~5 uploads/mo), no nuance on theoretical/statistical depth, English-centric, no roadmap signals, redundant if already paying ChatGPT Plus

    Access / Integration (table)

    Method Supported
    Web explainpaper.com app (browser only)
    Import PDF upload, paste text, Zotero library import
    Export None meaningful (highlights live in-app)
    No No API, no MCP, no mobile app, no LMS/LTI, no SSO, no Anki/markdown export (vs Scholarcy/Coconote)

    Best For / Not For

    Best For Not For
    Grad students / cross-discipline readers stuck on one dense paper Literature reviews across 50 papers (→ Elicit/Humata)
    Users wanting highlight-not-chat reading flow Teams needing shared annotations/LMS (→ Scholarcy Institutional)
    Non-native readers (50+ lang, level slider) Visual STEM relying on diagrams/scan pages (weak OCR)
    People already on free tier only (unlimited explains) Users paying ChatGPT Plus/Claude Pro anyway (redundant)
    Zotero users Dev/eval/obs use (wrong lane)

    Competitors (lane map)

    Lane Tool Explainpaper edge / gap
    Paper explainer SciSpace (Typeset) SciSpace cheaper Pro ($12) + corpus Q&A + literature review; Explainpaper highlight UX cleaner, free unlimited explains
    PDF chat ChatPDF, Humata Humata multi-doc + cited answers; Explainpaper paper-native, highlight-first
    Research assistant Elicit Elicit discovery + data extraction across 138M papers; Explainpaper comprehension-only
    Structured summary Scholarcy Scholarcy flashcards + Literature Matrix + Zotero sync + export; Explainpaper no structured output
    General LLM ChatGPT/Claude/NotebookLM Cover highlight+explain + more; Explainpaper distraction-free niche
    In-list overlap Socratic (shutdown→Lens), Mindgrasp, Coconote, Scholarcy Edu lane only; Explainpaper = narrowest single-paper reader

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