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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Chiaro AI
✓ verifiedFreemium
iOS app that turns a photo of art or a landmark into an instant spoken audio guide, with follow-up Q&A and local tips.
2.0K visits/mo11K saves
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Semantic Scholar
✓ verifiedFree
Free AI search over 237m+ scientific papers from Ai2, with TLDR summaries, an augmented reader and a public API.
7.9M visits/mo13K saves
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Elicit
✓ verifiedFreemium
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
2.1M visits/mo
Pricing
No public pricing
Free trial available
Free: Free
Basic: Free
Plus: $10 per month, billed annually
Pro: $42 per month, billed annually
Team: $65 per user, per month billed annually
Enterprise: Custom
Core features
- ✦Photo-based recognition of art and landmarks
- ✦Instant audio narration with adjustable depth
- ✦Museum-aware deeper analysis
- ✦Context-aware chat for follow-ups
- ✦Bilingual landmark names
- ✦Local recommendations linked to Google Maps
- ✦Search across 237 million-plus papers from all fields of science
- ✦Machine learning that extracts meaning and connections from inside papers
- ✦TLDR one-line summaries of papers
- ✦Semantic Reader (beta) with in-line citation cards and a table of contents
- ✦Personal library, research feeds and alerts
- ✦Public API with paper search and documentation
- ✦Free account, no paid tier
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
Use cases
- →Get instant context on artworks and buildings
- →Self-guided museum tours
- →Explore a city without a guidebook
- →Find nearby local spots
- →Finding the papers that matter on an unfamiliar topic
- →Reading a paper without paging back and forth to chase its citations
- →Keeping a personal library and following new work in a field
- →Building a scholarly application on the API
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
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