OpenRead VS NNScholar
Comparez OpenRead VS NNScholar, quelle est la différence entre OpenRead et NNScholar ?
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Résumer
OpenRead résumer
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.
OpenRead Page de destination
NNScholar résumer
Search papers, read PDFs, verify citations, and run AI research agents in one desktop workspace for literature reviews, evidence tracking, and writing.
NNScholar Page de destination
Comparer les détails
Détails de OpenRead
| Catégories | Outil de Recherche AI, Articles de Recherche AI, Résumeur PDF par AI, Synthétiseur AI, Résumeur dArticles IA, Assistant IA, Assistants d'écriture IA, Gestion des Connaissances AI, Lecteur IA |
| Site Web de OpenRead | https://www.openread.academy?utm_source=toolify |
| Temps supplémentaire | Juin 03 2023 |
| OpenRead Tarification | -- |
Détails de NNScholar
| Catégories | Outil de Recherche AI, Articles de Recherche AI, AI PDF, Écriture IA |
| Site Web de NNScholar | https://www.nnscholar.com?utm_source=toolify |
| Temps supplémentaire | Septembre 24 2026 |
| NNScholar Tarification | -- |
Comparaison de l'utilisation
Comment utiliser 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.
Comment utiliser 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.
Comparer les avantages de OpenRead et de NNScholar
Caractéristiques 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.
Caractéristiques 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
Comparer les cas d'utilisation
Cas d'utilisation de 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.
Cas d'utilisation de 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 différent entre OpenRead et 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.
Le trafic de OpenRead
OpenRead est celui avec 81.8K visites mensuelles et 00:01:35 durée moyenne des visites. OpenRead a une page par visite de 10.81 et un taux de rebond de 36.07%.
Trafic des sites web les plus récents
| Visites mensuelles | 81.8K |
| Durée moyenne de la visite | 00:01:35 |
| Pages par visite | 10.81 |
| Taux de rebond | 36.07% |
Le trafic de NNScholar
NNScholar est celui avec 317 visites mensuelles et 00:00:00 durée moyenne des visites. NNScholar a une page par visite de 1.12 et un taux de rebond de 34.11%.
Trafic des sites web les plus récents
| Visites mensuelles | 317 |
| Durée moyenne de la visite | 00:00:00 |
| Pages par visite | 1.12 |
| Taux de rebond | 34.11% |
Trafic géographique
Les 5 premiers pays/régions pour OpenRead sont :Iraq 21.61%, Indonesia 13.53%, United States 9.26%, Egypt 4.79%, South Korea 4.62%
Top 5 Pays/régions
 | 21.61% |
 | 13.53% |
 | 9.26% |
 | 4.79% |
 | 4.62% |
Trafic géographique
Désolé, il n'y a pas de données
Sources du trafic du site web
Les 6 principales sources de trafic vers OpenRead sont :vs_sourcesSearchOrganic 45.27%, Direct 36.75%, Sites référents 6.20%, vs_sourcesSocialOrganic 4.51%, vs_sourcesDisplayAds 2.11%, vs_sourcesSocialPaid 1.84%, E-mail 1.05%, vs_sourcesGenAi 1.02%, vs_sourcesAffiliate 0.64%, vs_sourcesSearchPaid 0.62%
vs_sourcesSearchOrganic | 45.27% |
Direct | 36.75% |
Sites référents | 6.20% |
vs_sourcesSocialOrganic | 4.51% |
vs_sourcesDisplayAds | 2.11% |
vs_sourcesSocialPaid | 1.84% |
E-mail | 1.05% |
vs_sourcesGenAi | 1.02% |
vs_sourcesAffiliate | 0.64% |
vs_sourcesSearchPaid | 0.62% |
Sources du trafic du site web
Les 6 principales sources de trafic vers NNScholar sont :Direct 28.59%, vs_sourcesSearchOrganic 24.89%, Sites référents 11.92%, vs_sourcesDisplayAds 10.60%, vs_sourcesAffiliate 7.44%, E-mail 5.42%, vs_sourcesSocialOrganic 4.90%, vs_sourcesSearchPaid 2.65%, vs_sourcesSocialPaid 1.95%, vs_sourcesGenAi 1.63%
Direct | 28.59% |
vs_sourcesSearchOrganic | 24.89% |
Sites référents | 11.92% |
vs_sourcesDisplayAds | 10.60% |
vs_sourcesAffiliate | 7.44% |
E-mail | 5.42% |
vs_sourcesSocialOrganic | 4.90% |
vs_sourcesSearchPaid | 2.65% |
vs_sourcesSocialPaid | 1.95% |
vs_sourcesGenAi | 1.63% |
Quel est le meilleur : OpenRead ou NNScholar ?
OpenRead pourrait être un peu plus populaire que NNScholar. Comme vous pouvez le voir, OpenRead a 81.8K visites mensuelles, tandis que NNScholar a 317 visites mensuelles. Ainsi, plus de personnes choisissent OpenRead. Il y a donc de fortes chances que les gens recommandent davantage OpenRead sur les plateformes sociales.
OpenRead a une durée Avg.visit de 00:01:35, tandis que NNScholar a une durée Avg.visit de 00:00:00. En outre, OpenRead a une page par visite de 10.81 et un taux de rebond de 36.07%. NNScholar a une page par visite de 1.12 et un taux de rebond de 34.11%.
Les principaux utilisateurs de OpenRead sont Iraq, Indonesia, United States, Egypt, South Korea, avec la distribution suivante : 21.61%, 13.53%, 9.26%, 4.79%, 4.62%.
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