Head-to-head · facts checked 14 Sept 2026
Elicit vs Humata
Elicit uniquely has 12 features · Humata uniquely has 10 features.
From
$19/mo academic plan ($75/mo industry plan)
Free plan
Yes
The verdict
Elicit or Humata?
Section 01
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Elicit
Basic
Free
Limited usage for Research Agent and Research Reports
Plus (Academic)
$19/mo · $132/yr
Standard usage for Research Agent, Research Reports, and Systematic Literature Reviews
Pro (Academic and Industry)
$69/mo · $480/yr
5x usage for Research Agent, Research Reports, and Systematic Literature Reviews
Scale (Academic and Industry)
$149/mo · $1,068/yr
9x usage for Research Agent, Research Reports, and Systematic Literature Reviews
Enterprise (Academic and Industry)
Custom
Custom usage for Research Agent, Research Reports, and Systematic Literature Reviews
Humata
Expert
$9.99/mo
Up to 3 users, 500 free pages/month, $0.02/page additional, chat support
Team
$49/user/mo
Up to 10 users, 5,000 free pages/month, $0.01/page additional, chat support, enterprise features
Enterprise
Custom
Unlimited users, custom free pages, custom additional pages, personalized service and enterprise security
Section 02
Pros and cons
From each tool's full review, written from the same checked facts.
Elicit
Pros
- Semantic search across 138 million academic papers means users don't need exact keyword phrasing to find relevant literature.
- Built specifically for rigorous, citation-dependent research workflows rather than general-purpose AI use.
- Integrates clinical trial data with around 545,000 trials searchable alongside academic papers.
- Research Agent can analyze up to 20,000 data points and synthesize findings across up to 200 sources.
- Curated academic database ensures results are limited to credible sources rather than open web noise.
- Rooted in Ought's nonprofit AI research background, with a strong emphasis on accuracy and transparency over speed.
- Users who adopt it for serious literature review work tend to stick with it long-term, indicating high retention among target users.
- Structured extraction tables and report generation streamline systematic review workflows that would otherwise take weeks manually.
Cons
- Not designed for general-purpose AI queries, so users expecting quick answers or tidy summaries will be disappointed.
- Has no meaningful presence on G2 or Capterra, making third-party social proof and peer reviews difficult to find.
- Limited to a curated academic database rather than live web search, which may frustrate users needing current or non-academic sources.
- Niche positioning means the learning curve may be steep for researchers unfamiliar with systematic review workflows.
- Community feedback is scattered across Reddit, Twitter, and Product Hunt rather than consolidated review platforms, making evaluation harder.
- Relies on a mix of Claude from Anthropic and proprietary models, meaning output quality is partly dependent on third-party AI performance.
Humata
Pros
- Inline citations link directly back to the exact source page, making claim verification fast and reliable.
- Cross-document querying allows users to actively compare and search across multiple files simultaneously, not just read them in parallel.
- Team-focused features like shared file libraries, role-based access controls, and folder-level permissions set it apart from solo PDF tools.
- Unlimited follow-up questions on paid plans support an iterative workflow rather than forcing single-prompt interactions.
- AI summarization allows repeated refinement — users can request shorter or different summaries on demand.
- Backed by Google's Gradient Ventures with $3.5 million in funding, signaling institutional confidence in the product's direction.
- Deliberately document-focused design keeps answers grounded in uploaded source material rather than hallucinated web results.
Cons
- No web search capability whatsoever — if the answer isn't in an uploaded file, Humata cannot find it.
- No connections to academic databases, limiting usefulness for research workflows that require external sources.
- No browser extension available, reducing integration into everyday browsing and research habits.
- No Notion integration mentioned, which limits adoption for teams already embedded in that ecosystem.
- The product is still early in its development arc, meaning feature gaps and rough edges are likely to persist near-term.
- Highly dependent on what users upload, making the tool only as useful as the document library maintained by the team.
Side by side
| Company | ||
| Founded | 2021 | 2023 |
| HQ | San Francisco, USA | San Francisco, USA |
| AI model | Claude (Anthropic) + proprietary models | GPT-5 |
| User base | 5M+ | 10 million teachers and students |
| Platforms | Web | Web |
| Languages | English primarily | — |
| Pricing | ||
| Pricing model | Freemium | Freemium |
| Free plan | Yes | Yes |
| Free trial | No | No — permanent free tier instead |
| Starting price | $19/mo academic plan ($75/mo industry plan) | $9.99/mo |
| Enterprise | Custom | Custom/user/mo |
| Refund policy | — | No refunds except where required by law; cancellation allowed anytime |
| All plans | Basic — Free Plus (Academic) — $19/mo Pro (Academic and Industry) — $69/mo Scale (Academic and Industry) — $149/mo Enterprise (Academic and Industry) — Custom | Expert — $9.99/mo Team — $49/user/mo Enterprise — Custom |
| Positioning | ||
| Best for | Systematic literature reviews and academic research | Small to large professional teams needing document processing |
| Differentiator | Dedicated Systematic Review Workflow screening up to 5,000 papers; nonprofit mission focused on scaling good reasoning and trustworthy AI-assisted research | Humata lets teams query, summarize, and compare multiple PDFs simultaneously with cited source links, embedded directly into webpages, backed by Google Gradient Ventures funding. |
| Competitors | Consensus, Semantic Scholar, Research Rabbit, Scite, Perplexity, SciSpace | ChatPDF, Adobe Acrobat AI, Elicit, Consensus, Semantic Scholar |
| Features | ||
| 138m+ Paper Search | ✓ | — |
| AI Scan | — | ✓ |
| Additional Pages | — | ✓ |
| Basic Features | — | ✓ |
| Bulk File Scanning | — | ✓ |
| Chat Support | — | ✓ |
| Chrome Extension Highlights | — | ✕ |
| Download AI Reports | — | ✓ |
| Enterprise Security | — | ✓ |
| Export to Ris/Csv/Bib/PDF/Docx | ✓ | — |
| Extract From Figures in Papers | ✓ | — |
| GPT 5 Support | — | ✓ |
| Lms Integration | — | ✓ |
| Multilingual AI Detection | — | ✓ |
| Real Time Collaboration | ✓ | — |
| Systematic Review Workflow | ✓ | — |
| Unlimited Paper Alerts | ✓ | — |
| Academic Search | ✓ | ✕ |
| AI Summarization | ✓ | ✓ |
| API Access | ✓ | ✓ |
| Browser Extension | ✓ | ✕ |
| Citation Generation | ✓ | ✓ |
| Data Privacy | ✓ | ✓ |
| Document Upload | ✓ | ✓ |
| Export Formats | ✓ | ✕ |
| Fact Checking | ✓ | — |
| Follow Up Questions | ✓ | ✓ |
| Mobile App | ✕ | ✕ |
| Multi Source Synthesis | ✓ | ✓ |
| Team Collaboration | ✓ | ✓ |
| Web Search | ✕ | ✕ |
| Integrations | ||
| API Access | ✓ | ✓ |
| Browser Extension | ✓ | ✕ |
| Google Docs Export | — | ✕ |
| Key Integrations | Zotero import, Elicit API, MCP server for agent/workflow integration, custom data sources (Enterprise) | Okta SSO (coming soon), Google SSO (coming soon), SAML SSO (coming soon), webpage embed via single-click |
| Notion Integration | — | ✕ |
| Zotero Integration | ✓ | ✕ |
Section 03
Elicit vs Humata: common questions
Is Elicit or Humata cheaper?
Elicit's cheapest paid plan is $19/mo academic plan ($75/mo industry plan) and Humata's is $9.99/mo. Compare what each plan includes below before going on price alone.
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