Corroba vs Scholarly
Corroba
corroba.com
Scholarly
scholarly.soSide by side
| Figure | Corroba | Scholarly |
|---|---|---|
| Price from | Free | $12/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Plans published | 1 | 8 |
| Spec score · Citation generators | 7.6 (#37) | 9.0 (#2) |
| Spec score · AI Citation Generators | 7.6 (#20) | 8.4 (#7) |
| Support | The educator page invites librarians to email [email protected] for a guide blurb or tutor walkthrough. | Users can contact Scholarly at [email protected] and the help center provides a Discord community link. |
| What it does | Corroba generates citations from links, DOIs, ISBNs, PubMed IDs, or titles using real bibliographic records. | Scholarly is a source-grounded AI workspace that turns users’ PDFs, recordings, videos, websites and notes into learning and research outputs. |
Plans
Scholarly
- FreeFree
- Premium$30 a month
- Premium for Teams$35 a month
- Laureate$99 a month
- Laureate for Teams$110 a month
- Premium$144 a year
- Premium for Teams$336 a year
- Laureate for Teams$1,056 a year
In their own words
Scholarly
Scholarly is a browser-based AI workspace that uses your source material to create study and research outputs. Add PDFs, recordings, notes, slides, webpages, videos, images, YouTube links, or pasted text, then make flashcards, quizzes, practice exams, study guides, podcasts, video lectures, slides, mind maps, worksheets, and timelines. Chat answers include checked citations, with a Sources button opening the page supporting each claim. Deep Research searches the web, evaluates sources, and produces cited reports with charts and inline links.
Scholarly works in a browser on laptops, tablets, and phones, and syncs work through your account. Its Google Drive connection can use selected files as sources and save finished work as new Docs or Slides. Teams can use shared libraries, roles, central billing, and model controls. A free plan and free trial are available; paid plans start at $12/user/mo (annual). Scholarly says private user content is not used to train general-purpose AI by default; training requires separate opt-in.