OpenRead VS NNScholar
Vergleichen Sie OpenRead mit NNScholar. Was ist der Unterschied zwischen OpenRead und NNScholar?
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Zusammenfassen
OpenRead zusammenfassen
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 Landingpage
NNScholar zusammenfassen
Search papers, read PDFs, verify citations, and run AI research agents in one desktop workspace for literature reviews, evidence tracking, and writing.
NNScholar Landingpage
Details vergleichen
OpenRead-Details
| Kategorien | AI Forschungstool, AI Forschungspapiere, AI PDF Zusammenfasser, AI Zusammenfassungsgenerator, AI Artikelzusammenfasser, KI Assistenten, KI Schreibassistenten, AI Wissensmanagement, KI-Lesegerät |
| OpenRead Website | https://www.openread.academy?utm_source=toolify |
| Zeit hinzugefügt | Juni 03 2023 |
| OpenRead Preise | -- |
NNScholar-Details
| Kategorien | AI Forschungstool, AI Forschungspapiere, AI PDF, KI-Textgenerierung |
| NNScholar Website | https://www.nnscholar.com?utm_source=toolify |
| Zeit hinzugefügt | September 24 2026 |
| NNScholar Preise | -- |
Vergleich der Nutzung
Wie benutzt man 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.
Wie benutzt man 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.
Vergleich der Profis zwischen OpenRead und NNScholar
Kernfunktionen von 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.
Kernfunktionen von 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
Vergleich der Anwendungsfälle
Anwendungsfälle für 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.
Anwendungsfälle für 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
Unterschiedlicher Plan zwischen OpenRead und 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.
OpenRead's Verkehr
OpenRead ist dasjenige mit 81.8K monatlichen Besuchen und 00:01:35 durchschnittlicher Besuchsdauer. OpenRead hat eine Seite pro Besuch von 10.81 und eine Absprungrate von 36.07%.
Aktueller Website-Verkehr
| Monatliche Besuche | 81.8K |
| Durchschnittliche Besuchsdauer | 00:01:35 |
| Seiten pro Besuch | 10.81 |
| Absprungrate | 36.07% |
NNScholar's Verkehr
NNScholar ist dasjenige mit 317 monatlichen Besuchen und 00:00:00 durchschnittlicher Besuchsdauer. NNScholar hat eine Seite pro Besuch von 1.12 und eine Absprungrate von 34.11%.
Aktueller Website-Verkehr
| Monatliche Besuche | 317 |
| Durchschnittliche Besuchsdauer | 00:00:00 |
| Seiten pro Besuch | 1.12 |
| Absprungrate | 34.11% |
Geografischer Verkehr
Die wichtigsten 5 Länder/Regionen für OpenRead sind:Iraq 21.61%, Indonesia 13.53%, United States 9.26%, Egypt 4.79%, South Korea 4.62%
Top 5 Länder/Regionen
 | 21.61% |
 | 13.53% |
 | 9.26% |
 | 4.79% |
 | 4.62% |
Geografischer Verkehr
Es liegen leider keine Daten vor
Quellen des Website-Verkehrs
Die 6 Hauptverkehrsquellen für OpenRead sind:vs_sourcesSearchOrganic 45.27%, Direkt 36.75%, Referral 6.20%, vs_sourcesSocialOrganic 4.51%, vs_sourcesDisplayAds 2.11%, vs_sourcesSocialPaid 1.84%, Mail 1.05%, vs_sourcesGenAi 1.02%, vs_sourcesAffiliate 0.64%, vs_sourcesSearchPaid 0.62%
vs_sourcesSearchOrganic | 45.27% |
Direkt | 36.75% |
Referral | 6.20% |
vs_sourcesSocialOrganic | 4.51% |
vs_sourcesDisplayAds | 2.11% |
vs_sourcesSocialPaid | 1.84% |
Mail | 1.05% |
vs_sourcesGenAi | 1.02% |
vs_sourcesAffiliate | 0.64% |
vs_sourcesSearchPaid | 0.62% |
Quellen des Website-Verkehrs
Die 6 Hauptverkehrsquellen für NNScholar sind:Direkt 28.59%, vs_sourcesSearchOrganic 24.89%, Referral 11.92%, vs_sourcesDisplayAds 10.60%, vs_sourcesAffiliate 7.44%, Mail 5.42%, vs_sourcesSocialOrganic 4.90%, vs_sourcesSearchPaid 2.65%, vs_sourcesSocialPaid 1.95%, vs_sourcesGenAi 1.63%
Direkt | 28.59% |
vs_sourcesSearchOrganic | 24.89% |
Referral | 11.92% |
vs_sourcesDisplayAds | 10.60% |
vs_sourcesAffiliate | 7.44% |
Mail | 5.42% |
vs_sourcesSocialOrganic | 4.90% |
vs_sourcesSearchPaid | 2.65% |
vs_sourcesSocialPaid | 1.95% |
vs_sourcesGenAi | 1.63% |
Was ist besser: OpenRead oder NNScholar?
OpenRead könnte etwas beliebter sein als NNScholar. Wie Sie sehen können, hat OpenRead 81.8K monatliche Besuche, während NNScholar 317 monatliche Besuche hat. Damit sich mehr Menschen für OpenRead entscheiden. Die Chancen stehen also gut, dass die Leute OpenRead auf sozialen Plattformen häufiger weiterempfehlen.
OpenRead hat eine durchschnittliche Besuchsdauer von 00:01:35, während NNScholar eine durchschnittliche Besuchsdauer von 00:00:00 hat. Außerdem hat OpenRead eine Seite pro Besuch von 10.81 und eine Absprungrate von 36.07%. NNScholar hat eine Seite pro Besuch von 1.12 und eine Absprungrate von 34.11%.
Die Hauptnutzer von OpenRead sind Iraq, Indonesia, United States, Egypt, South Korea mit der folgenden Verteilung: 21.61%, 13.53%, 9.26%, 4.79%, 4.62%.
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