Glasp is a social web and PDF highlighter that helps learners and researchers capture, organize, and share insightful ideas. It uses AI to create a personalized knowledge base from your highlights, offering features like AI-powered summaries, chat with your notes, and seamless integration with popular note-taking apps. It's designed to facilitate public learning and build a collective intelligence.
Recall is an AI-powered knowledge management tool that transforms scattered content into a self-organizing knowledge base. It summarizes articles, YouTube videos, PDFs, and more, allows you to chat with your content, and uses features like augmented browsing and spaced repetition to help you remember everything you learn.
Product overview
Glasp Product overview
Glasp is a social web and PDF highlighter that helps learners and researchers capture, organize, and share insightful ideas. It uses AI to create a personalized knowledge base from your highlights, offering features like AI-powered summaries, chat with your notes, and seamless integration with popular note-taking apps. It's designed to facilitate public learning and build a collective intelligence.
Recall Product overview
Recall is an AI-powered knowledge management tool that transforms scattered content into a self-organizing knowledge base. It summarizes articles, YouTube videos, PDFs, and more, allows you to chat with your content, and uses features like augmented browsing and spaced repetition to help you remember everything you learn.
Detailed feature comparison
| Feature | Glasp | Recall |
|---|---|---|
| Primary category | Web Clipper | Research |
| Added | 2025-08-01 | 2025-08-12 |
| Pricing | Freemium | Freemium |
| Official website | glasp.co | www.getrecall.ai |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 2.8M | 151.5K |
| Monthly growth | 44.2% | -57% |
| Favorites | 116 | 112 |
| Details | View details | View details |
Glasp vs Recall monthly traffic
Compare Glasp and Recall by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Glasp vs Recall monthly traffic comparison, Glasp currently shows 2.8M visits and Recall shows 151.5K; Glasp has about 18.2 times the visible traffic of Recall, an absolute difference of about 2.6M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Glasp monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.5M Monthly visits
- 2026/1: 1.5M Monthly visits
- 2026/2: 1.2M Monthly visits
- 2026/3: 2M Monthly visits
- 2026/4: 1.9M Monthly visits
- 2026/5: 2.8M Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇹🇼Taiwan | 40.38% | 1.1M |
| 🇺🇸United States | 24.29% | 670.7K |
| 🇨🇳China | 13.48% | 372.2K |
| 🇮🇳India | 11.94% | 329.7K |
| 🇧🇷Brazil | 9.91% | 273.6K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 71.66% | 2M |
| Referral | 23.61% | 651.9K |
| 4.73% | 130.6K |
Search keywords
Recall monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 752.3K Monthly visits
- 2026/1: 676K Monthly visits
- 2026/2: 584.5K Monthly visits
- 2026/3: 503.3K Monthly visits
- 2026/4: 352.3K Monthly visits
- 2026/5: 151.5K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 60.52% | 91.7K |
| 🇦🇺Australia | 12.04% | 18.2K |
| 🇩🇪Germany | 10.42% | 15.8K |
| 🇬🇧United Kingdom | 9.54% | 14.5K |
| 🇵🇱Poland | 7.48% | 11.3K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 78.2% | 118.5K |
| Referral | 18.71% | 28.4K |
| 3.09% | 4.7K |
Search keywords
Usage comparison
Compare the core capabilities of Glasp and Recall
Glasp Core features
Recall Core features
Use cases
Glasp Use cases
Recall Use cases
Glasp vs Recall:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Glasp vs Recall comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Glasp is primarily listed under “Web Clipper”, while Recall is primarily listed under “Research”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Glasp: Web Clipper; Recall: Research); Monthly visits (Glasp: 2.8M; Recall: 151.5K); Monthly growth (Glasp: 44.2%; Recall: -57%); Favorites (Glasp: 116; Recall: 112); Website (Glasp: glasp.co; Recall: www.getrecall.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Glasp vs Recall monthly traffic comparison, Glasp currently shows 2.8M visits and Recall shows 151.5K; Glasp has about 18.2 times the visible traffic of Recall, an absolute difference of about 2.6M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Glasp first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Glasp and Recall currently overlap in shared categories: Research and Knowledge Management; shared tags: note-taking, research tool, and second brain. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Glasp's unique categories/tags are Web Clipper, Note Taking, AI summary, highlighter, knowledge management, PDF annotator, PKM, and social learning; Recall's are Note Taking, Summarizer, knowledge base, PDF summarizer, productivity, read it later, spaced repetition, and summarizer. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Glasp has no verified rating, 0 comments, 116 favorites, and 121 likes;Recall has no verified rating, 0 comments, 112 favorites, and 110 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Glasp first
Put Glasp on the priority trial list when the task aligns with “Web Clipper” and especially Web Clipper, Note Taking, AI summary, highlighter, knowledge management, and PDF annotator. This follows recorded positioning and does not imply unlisted capabilities are absent.
Glasp also currently records: pricing is freemium, product type is website, 2.8M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Recall first
Put Recall on the priority trial list when the task aligns with “Research” and especially Note Taking, Summarizer, knowledge base, PDF summarizer, productivity, and read it later. This follows recorded positioning and does not imply unlisted capabilities are absent.
Recall also currently records: pricing is freemium, product type is website, 151.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Glasp and Recall, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Glasp and Recall?
Where does this comparison data come from?
What do unknown fields mean?
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