Paper Digest
Daily AI digests and search across conferences and journals.
About
Paper Digest has indexed academic literature since 2018, offering a daily digest service that sifts through tens of thousands of new papers, clinical trials, and news items and filters them to a researcher's interests. It also provides topic search, literature reviews organized by research area (e.g., conference proceedings like ASCO), and automated research-report generation. The service is largely free for basic use, aimed at researchers who want to keep up with their field without manual database combing. It is strongest as a discovery and awareness layer; for deep synthesis you will still want a dedicated review tool.
What it can do
- Daily AI-filtered paper digests
- Topic and author search
- Conference and journal literature reviews
- Automated research report generation
- Clinical trial and news tracking
Setup
- Visit paperdigest.org
- Register and set your research interests
- Browse daily digests and topic pages
- Follow authors and areas to stay current
Prerequisites
An account for personalized digests; none for basic browsing.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Operating since 2018; indexed decades of conferences/journals; free basic tier; Most evidence is from the company's own site and curated lists; thinner independent coverage; Strongest as discovery/awareness layer, not deep synthesis. Manual review: facts checked against search sources read this session; no hands-on testing, so metrics tier. License: Proprietary; free basic tier.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 5.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 6.0/10
- Manual review · sanity read + red-flag check
- 5.0/10
- · Operating since 2018; indexed decades of conferences/journals; free basic tier
- · Most evidence is from the company's own site and curated lists; thinner independent coverage
- · Strongest as discovery/awareness layer, not deep synthesis
- · manual review: facts checked against search sources read this session; no hands-on testing, so metrics tier
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.