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Litra.aiLitra.aiv2.22.0-beta
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Search academic papers in your language.
AI analyzes relevance for you.

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Beta — Now Live

Literature reviews, done faster

Take your research to the next level.

Tired of AI suggesting papers that don't exist?

General-purpose AI can fabricate non-existent papers. Litra.ai queries the OpenAlex academic database directly, returning only papers that actually exist. No hallucinated references — ever.

Direct access to scholarly databases
Every link verified programmatically before delivery
Covers 98.6% of PubMed and nearly all arXiv papers
📊Year Distribution
Publication Year Distribution
6420
1
1
1
1
4
3
1
3
4
6
4
20002006200720162019202020212022202320242025
🔴Key Trend:
Research surged after 2019, especially in 2024-2025, reflecting rapidly growing interest in nature play and child development.
🗺️Research Map (Quadrant Chart)
Papers classified along two axes to visualize the full research landscape:
Wellness Tourism Research Map
Theoretical / Macro
Paper 4
Paper 8
Paper 3
Paper 18
Theoretical / Micro
Paper 6
Paper 13
Paper 14
Empirical / Macro
Paper 31
Paper 27
Paper 30
Empirical / Micro
Paper 20
Paper 18
Paper 346
Related Papers Map
ReferenceFollow-up
Selected
The Future of Wellness Tourism After COVID-19
Clerici et al. (2023) · 10 citations
Reference
Growth and Prospects of Wellness Tourism
Mueller (2010) · 494 citations
Reference
Coastal Environments as Therapeutic Landscapes
Bell et al. (2015) · 294 citations
Follow-up
Post-COVID Consumer Behavior in Spa Tourism
Kim et al. (2025) · 32 citations
Follow-up
New Trends in Wellness Tourism in Asia
Park (2025) · 18 citations
Selected
References (cited by)
Follow-up studies

Want to see how papers relate to each other and track research trends visually?

Automatically analyzes publication trends and year distributions from search results. Visualize citation sources and follow-up studies in a tree diagram to trace the flow of research.

Research assistant analyzes trends
Auto-generated year distributions and research maps
Highlights papers worth reading
View citation sources and follow-up studies in a tree diagram

Search papers from your AI agentUnder Development

Use Litra.ai's paper search directly from AI tools like Claude Code, Cursor, and Windsurf. Just configure the MCP server and search papers within your AI conversations.

Supported Clients

Claude CodeClaude DesktopCursorWindsurfClineGitHub Copilot
MCP Server Configuration Example
{
  "mcpServers": {
    "litra": {
      "command": "npx",
      "args": [
        "-y",
        "@anthropic-ai/mcp-remote",
        "https://litra-ai.com/api/v1/mcp"
      ],
      "env": {
        "API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Simple, transparent pricing

Start free, upgrade when you're ready

MonthlyAnnualUp to 2 months free
Free Tier
3 credits
  • ~3 searches included
  • Save up to 3 results
  • Paper PDF analysis※1
  • No credit card required
  • GPT-4.1 mini only
  • 1 device login
  • API / MCP access: Not available
Mini
30 credits/mo (Annual: ¥13,800/year)
Save ¥2,760/year (17% off)
  • 30 credits per month
  • Unused credits roll over (up to 60)
  • Save up to 10 results
  • All AI models available
  • 2 device logins
  • API / MCP access (10 req/min)
★ Recommended
Standard
100 credits/mo (Annual: ¥28,800/year)
Save ¥6,000/year (17% off)
  • 100 credits per month
  • Unused credits roll over (up to 200)
  • Save up to 50 results
  • Paper PDF analysis※1
  • All AI models available
  • 3 device logins
  • API / MCP access (30 req/min)
Coming Soon
Pro
400 credits/mo (Annual: ¥112,800/year)
Save ¥16,800/year (13% off)
  • 400 credits per month
  • Unused credits roll over (up to 800)
  • Save up to 200 results
  • Paper PDF analysis※1
  • All AI models available
  • For research labs (4-10 members)
  • Sub-accounts (up to 20)※2
  • Up to 20 users
  • API / MCP access (60 req/min)
Coming Soon
Max
1200 credits/mo (Annual: ¥324,000/year)
Save ¥36,000/year (10% off)
  • 1200 credits per month
  • Unused credits roll over (up to 2400)
  • Save up to 500 results
  • Paper PDF analysis※1
  • All AI models available
  • For large research labs (~100 members)
  • Sub-accounts (up to 100)※2
  • Priority support
  • Up to 100 users
  • API / MCP access (120 req/min)

※1 Paper PDF (full-text) analysis is under development in Beta

※2 Sub-account feature is under development in Beta

※ Multilingual translation currently supports Japanese only in Beta

Frequently Asked Questions

Litra.ai queries the OpenAlex academic database directly to retrieve papers. Unlike ChatGPT, which generates text, we fetch search results directly from real paper databases — so fabricated papers are never suggested. We also run link verification on every reference to confirm each paper exists.

Hybrid search combines keyword search with semantic search. Keyword search, like Google Scholar, matches exact terms, while semantic search finds papers with similar meaning or concepts. For example, a search for 'crop monitoring' would also discover papers about 'agricultural field observation' or 'farmland surveillance.' Litra.ai merges both approaches so you never miss relevant papers.

The free tier gives you 3 credits (approximately 3 searches). GPT-4.1 mini is available. You can try the same features as paid plans — multilingual translation, AI analysis chat, and paper analysis. No credit card required.

Credits are the currency used to search papers on Litra.ai. Different AI models consume different amounts (GPT-4.1 mini: ~1 credit, Haiku 4.5: ~3 credits, Sonnet 4.5: ~9 credits per search).

For individual use: Mini ($9/mo, 30 credits) for occasional use, Standard ($19/mo, 100 credits) for regular use, or Pro ($69/mo, 400 credits) for heavy use. For research labs: Pro for 4-10 members, Max ($199/mo, 1200 credits) for larger groups up to 100.

For Individual Use

  • Occasional use (5-10 times/month): Mini ($9/mo, 30 credits) is recommended. Great for light literature searches and report writing.
  • Regular use (2-3 times/week): Standard ($19/mo, 100 credits) is recommended. Ideal for regular paper checks and research activities.
  • Daily / heavy use (10+ times/week): Consider Pro ($69/mo, 400 credits). Perfect for frequent Sonnet 4.5 usage (9 credits/search) or PhD literature review periods.

For Research Labs

  • Small labs (4-10 members): Pro ($69/mo, 400 credits) is recommended. Sub-account feature (up to 20 members) lets lab members share credits.
  • Large labs (up to 100 members): Max ($199/mo, 1200 credits) is recommended. Comes with sub-accounts (up to 100 members) and priority support.

Key Differences Between Plans

Mini vs Standard:

  • Credits: 30 vs 100
  • Paper PDF analysis (in Beta development): No vs Yes
  • Login devices: 2 vs 3

Pro vs Max:

  • Credits: 400 vs 1200
  • Recommended size: 4-10 vs up to 100
  • Sub-accounts: up to 20 vs up to 100
  • Priority support: No vs Yes

Yes, unused credits roll over to the next month. The maximum balance is capped at 2x your monthly credits. For example, on the Standard plan (100 credits/month), you can hold up to 200 credits including carried-over amounts.

We accept credit cards (Visa, Mastercard, American Express, JCB). All transactions are securely processed through Stripe.

Yes. We support reimbursement-based payment for KAKENHI. After paying by credit card, a receipt is automatically issued that you can submit to your university's accounting department. The receipt does not include a company seal (inkan), but this is legally fine. If your university requires a seal, please contact us and we'll accommodate. Bank transfer (invoiced payments) is planned for the future.

Yes, you can cancel at any time. After cancellation, you can continue using the service until the end of your current billing period.

If you purchased an annual plan within the last 14 days, you can request a refund from your account page. The refund amount is prorated based on unused credits (refund = payment × remaining credits ÷ total credits). Monthly plans do not offer prorated refunds, but you can continue using the service until the end of the billing period. A processing fee (3.6%) may be deducted from refunds.

We do not offer a dedicated enterprise plan. For research lab use, we recommend Pro ($69/mo, 400 credits) or Max ($199/mo, 1200 credits). If Max is insufficient, you can purchase multiple Max subscriptions.

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