OpenRead VS NNScholar
Compare OpenRead VS NNScholar, ¿cuál es la diferencia entre OpenRead y NNScholar?
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Resumir
OpenRead resumir
OpenRead employs cutting-edge AI technology to transform scientific papers in PDF format into interactive papers. With features such as Paper Espresso and Paper Q&A, you can quickly grasp the main points of the paper without having to read it in its entirety.
Página de destino de OpenRead
NNScholar resumir
Search papers, read PDFs, verify citations, and run AI research agents in one desktop workspace for literature reviews, evidence tracking, and writing.
Página de destino de NNScholar
Comparar detalles
detalles de OpenRead
| Categorías | Herramienta de Investigación AI, Artículos de Investigación AI, Resumidor de PDF con AI, Resumidor AI, Resumidor de Artículos AI, Asistente de AI, Asistentes de escritura con AI, Gestión del Conocimiento AI, AI Lector |
| Sitio web de OpenRead | https://www.openread.academy?utm_source=toolify |
| Tiempo agregado | Junio 03 2023 |
| Precios de OpenRead | -- |
detalles de NNScholar
| Categorías | Herramienta de Investigación AI, Artículos de Investigación AI, AI PDF, Escritura AI |
| Sitio web de NNScholar | https://www.nnscholar.com?utm_source=toolify |
| Tiempo agregado | Septiembre 24 2026 |
| Precios de NNScholar | -- |
Comparación de uso
¿Cómo usar OpenRead?
Enter or upload a paper to OpenRead. Use Paper Espresso for a quick summary, Paper Q&A to ask specific questions, and the extensive reading mode to capture the core value of the paper. Interact with figures, formulas, and tables via embedded hyperlinks. Utilize the notes system for efficient note-taking and referencing.
¿Cómo usar NNScholar?
Start in WebUse by entering a research topic, question, DOI, PMID, or arXiv identifier. Search and screen papers, then save relevant sources to a project. Import or read PDFs to translate, annotate, and ask questions grounded in their text. Organize claims, evidence, risks, and decisions on the Evidence Board, and use research agents or academic skills to help with tasks such as outlining, citation checks, drafting, and submission preparation.
Comparar Pros entre OpenRead y NNScholar
Características principales de OpenRead
- Paper Espresso: AI-powered literature review generation.
- Paper Q&A: Instant answers to questions about a paper.
- Extensive Reading Mode: Captures the core value of a paper in minutes.
- Interactive Figures: AI extraction of figures, formulas, and tables with hyperlinks.
- Powerful Notes System: Efficient note-taking with backlinks and outgoing links.
- Low Code Paper Editor: Original low code writing platform (under development).
- Research Community: Upcoming seminar series.
Características principales de NNScholar
- Multi-source scholarly search and AI paper screening
- Research projects that connect sources, notes, conversations, tasks, and outputs
- PDF chat, translation, annotation, and cross-document question answering
- Evidence boards linking claims to sources, confidence, risks, and decisions
- Citation tracing through references, related papers, and topic updates
- AI research agents for organizing evidence, checking sources, and advancing drafts
- Academic skills for research planning, writing, figures, journal selection, and reviewer responses
Comparar casos de uso
Casos de uso para OpenRead
- Quickly understanding the main points of scientific papers.
- Generating literature reviews efficiently.
- Finding figures, formulas, and tables within papers easily.
- Taking and organizing research notes effectively.
- Drafting papers using a low-code writing platform.
- Participating in a research community and seminars.
Casos de uso para NNScholar
- Find and screen papers for a literature review, then save useful sources in a project
- Compare methods and conclusions across several academic PDFs
- Check whether a manuscript claim is supported by evidence and identify citation risks
- Draft an outline or paper section using evidence collected in a research project
- Prepare figures, journal submissions, or responses to reviewer comments
Plan diferente entre OpenRead y NNScholar
OpenRead
$0 /month
Paper Espresso × 5 / month, Paper Q&A × 5 / month, Chat with Oat × 5 / month, Answer by Oat (search) & Pro Search × 5 / month, Related Paper Graph × 5 / month, Paper Request × 5 / month, Translate with LLM × 5 / month, Unlimited PDF uploads and parsing (max 2MB/PDF)
$5 /month
Paper Espresso × 100 / month, Paper Q&A × 300 / month, Chat with Oat × 300 / month, Answer by Oat (search) & Pro Search × 300 / month, Related Paper Graph × 300 / month, Paper Request × 30 / month, Translate with LLM × 300 / month, Unlimited PDF uploads and parsing
$20 /month
Unlimited usage of Paper Espresso, Unlimited usage of Paper Q&A, Unlimited chat with Oat, Unlimited usage of Answer by Oat (search) & Pro Search, Unlimited usage of Related Paper Graph, Unlimited usage of Paper Request, Unlimited usage of Translate with LLM, Unlimited PDF uploads and parsing
$200 per seat
Annual payment, endless enjoyment. All Premium Plan features, Admin dashboard for license management and usage insights, Single Sign-On (SSO) portal for secure individual access, Organizational data not used for AI training by default, Increased PDF upload capacity, Priority customer support
NNScholar
¥9.9 one-time
1,000 credits with 40-day rolling validity; available once per account. Includes AI screening, chat, PDF chat, and subscription digests.
¥39 per 40 days
1,500 credits granted every 40 days, with 40-day rolling validity. For light personal research and low-frequency PDF or translation tasks.
¥79 per 40 days
3,500 credits granted every 40 days, with 40-day rolling validity. Includes access to Base, Auto, and Pro model tiers.
¥159 per 40 days
8,000 credits granted every 40 days, with 40-day rolling validity.
¥459 per 40 days
30,000 credits granted every 40 days, with 40-day rolling validity, higher task budgets, heavier agent workflows, and priority queue for batch research scenarios.
Tráfico de OpenRead
OpenRead es el que tiene 81.8K visitas mensuales y 00:01:35 Promedio de duración de la visita. OpenRead tiene una página por visita de 10.81 y una tasa de rebote de 36.07%.
Tráfico más reciente
| Visitas mensuales | 81.8K |
| Duración media de la visita | 00:01:35 |
| Páginas por visita | 10.81 |
| Tasa de rebote | 36.07% |
Tráfico de NNScholar
NNScholar es el que tiene 317 visitas mensuales y 00:00:00 Promedio de duración de la visita. NNScholar tiene una página por visita de 1.12 y una tasa de rebote de 34.11%.
Tráfico más reciente
| Visitas mensuales | 317 |
| Duración media de la visita | 00:00:00 |
| Páginas por visita | 1.12 |
| Tasa de rebote | 34.11% |
Tráfico geográfico
Los principales 5 países/regiones para OpenRead son:Iraq 21.61%, Indonesia 13.53%, United States 9.26%, Egypt 4.79%, South Korea 4.62%
Top 5 Países/regiones
 | 21.61% |
 | 13.53% |
 | 9.26% |
 | 4.79% |
 | 4.62% |
Tráfico geográfico
Lo siento, no hay datos.
Fuentes de tráfico
Las 6 principales fuentes de tráfico a OpenRead son:vs_sourcesSearchOrganic 45.27%, Directo 36.75%, Referidos 6.20%, vs_sourcesSocialOrganic 4.51%, vs_sourcesDisplayAds 2.11%, vs_sourcesSocialPaid 1.84%, Correo 1.05%, vs_sourcesGenAi 1.02%, vs_sourcesAffiliate 0.64%, vs_sourcesSearchPaid 0.62%
vs_sourcesSearchOrganic | 45.27% |
Directo | 36.75% |
Referidos | 6.20% |
vs_sourcesSocialOrganic | 4.51% |
vs_sourcesDisplayAds | 2.11% |
vs_sourcesSocialPaid | 1.84% |
Correo | 1.05% |
vs_sourcesGenAi | 1.02% |
vs_sourcesAffiliate | 0.64% |
vs_sourcesSearchPaid | 0.62% |
Fuentes de tráfico
Las 6 principales fuentes de tráfico a NNScholar son:Directo 28.59%, vs_sourcesSearchOrganic 24.89%, Referidos 11.92%, vs_sourcesDisplayAds 10.60%, vs_sourcesAffiliate 7.44%, Correo 5.42%, vs_sourcesSocialOrganic 4.90%, vs_sourcesSearchPaid 2.65%, vs_sourcesSocialPaid 1.95%, vs_sourcesGenAi 1.63%
Directo | 28.59% |
vs_sourcesSearchOrganic | 24.89% |
Referidos | 11.92% |
vs_sourcesDisplayAds | 10.60% |
vs_sourcesAffiliate | 7.44% |
Correo | 5.42% |
vs_sourcesSocialOrganic | 4.90% |
vs_sourcesSearchPaid | 2.65% |
vs_sourcesSocialPaid | 1.95% |
vs_sourcesGenAi | 1.63% |
¿Qué es mejor: OpenRead o NNScholar?
OpenRead podría ser un poco más popular que NNScholar. Como puede ver, OpenRead tiene 81.8K visitas mensuales, mientras que NNScholar tiene 317 visitas mensuales. Entonces, más personas eligen OpenRead. Entonces, lo más probable es que las personas recomienden OpenRead más en las plataformas sociales.
OpenRead tiene una duración promedio de visita de 00:01:35, mientras que NNScholar tiene una duración promedio de visita de 00:00:00. Además, OpenRead tiene una página por visita de 10.81 y una tasa de rebote de 36.07%. NNScholar tiene una página por visita de 1.12 y una tasa de rebote de 34.11%.
Los principales usuarios de OpenRead son Iraq, Indonesia, United States, Egypt, South Korea, con la siguiente distribución: 21.61%, 13.53%, 9.26%, 4.79%, 4.62%.
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