Semantic Scholar
Umami
| Feature | Semantic Scholar | Umami |
|---|---|---|
| Pricing | Free only | Free / from $9/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.5 / 5 |
| Best For | researchers, phd-students, academics, literature-reviewers | indie-developers, privacy-focused-sites, bloggers, small-businesses |
| Founded | 2015 | 2020 |
| Semantic Search | ✓ | ✗ |
| Tldr Summaries | ✓ | ✗ |
| Citation Graphs | ✓ | ✗ |
| Research Feeds | ✓ | ✗ |
| Author Profiles | ✓ | ✗ |
| Open Api | ✓ | ✗ |
| Page Views | ✗ | ✓ |
| Custom Events | ✗ | ✓ |
| Realtime Dashboard | ✗ | ✓ |
| Utm Tracking | ✗ | ✓ |
| Multi Site | ✗ | ✓ |
| Api | ✗ | ✓ |
| Teams | ✗ | ✓ |
✓ Semantic Scholar Pros
- Completely free to use
- AI-generated paper summaries (TLDR)
- Influence and citation metrics
- Research feeds and alerts
✗ Semantic Scholar Cons
- Coverage gaps in some disciplines
- No full-text access
- Interface less intuitive than Google Scholar
✓ Umami Pros
- Completely open-source and self-hostable for free
- Beautiful, clean dashboard interface
- No cookies required (GDPR/CCPA compliant by default)
- Lightweight script (under 2KB) does not slow sites
✗ Umami Cons
- Limited advanced analytics features
- No conversion funnel or cohort analysis
- Self-hosting requires database management
The Verdict
Semantic Scholar is built for researchers and phd students, with a focus on semantic-search and tldr-summaries. Umami targets indie developers and privacy focused sites and leads with page-views and custom-events.
Semantic Scholar uses custom enterprise pricing, while Umami starts at $9/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Umami offers broader built-in capabilities (7 features vs 6), while Semantic Scholar takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.