Elicit vs SciSpace
Elicit scores 7.8 to SciSpace's 6.9 among the literature search tools we rate, and is the better pick for 2 of the 5 kinds of buyer below.
Elicit wins, 7.8 to 6.9
SciSpace costs $20 a month; Elicit's academic plan is $19 a month. SciSpace answers back with an AI writing editor that drafts your own paper and adds citations, a mobile app, and support for more than 75 languages, none of which Elicit offers. Elicit goes further into systematic review work instead: it screens papers with include and exclude decisions, deduplicates references automatically, and claims PRISMA grade accuracy on its Enterprise tier, capabilities SciSpace does not have.
Pick Elicit if you are screening papers for a systematic review.
Pick SciSpace if you want an AI writing editor, a mobile app and language support.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Alerts for new papers: Elicit yes, SciSpace no
- Screening with include and exclude decisions: Elicit yes, SciSpace no
- AI help with screening: Elicit yes, SciSpace no
- Removes duplicate references: Elicit yes, SciSpace no
- Monthly price, cheapest paid plan: Elicit $19, SciSpace $20
- Helps you write and adds citations: SciSpace yes, Elicit no
- Mobile app: SciSpace yes, Elicit no
- Works in languages other than English: SciSpace yes, Elicit no
- But Elicit leads on aPI: Elicit yes, SciSpace no
How they score
Both are scored the same way, against the other literature search tools we rate, from facts on each vendor's own pages. Elicit leads on 3 of 6 criteria.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (14)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Elicit
SSciSpace
Pros and cons
From each tool's full review, written from the same checked facts.
Elicit
- 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.
- 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.
SSciSpace
- Covers a genuinely broad feature set including PDF chat, literature review synthesis, citation generation, paraphrasing, AI writing, and data extraction in one platform.
- The Chat with PDF feature provides an intuitive entry point for researchers, allowing conversational Q&A with uploaded academic papers.
- Supports 75+ languages, making it more accessible to non-English research communities than most competing tools.
- Built on a GPT-4 based model, giving it strong language understanding for summarization and synthesis tasks.
- Available across web, iOS, Android, and a Chrome extension, enabling flexible use across devices and browsing contexts.
- The Literature Review tool attempts multi-source synthesis across papers, journals, conferences, and authors, which is a meaningful differentiator.
- Has attracted over 9 million users since launching in 2020, suggesting real-world utility despite marketing skepticism.
- The breadth of features raises trust concerns — a tool that does everything often does nothing particularly well.
- Not listed on major review platforms like G2 or Capterra, making independent third-party validation difficult to find.
- It is unclear exactly which academic databases SciSpace indexes, leaving gaps in source transparency.
- The literature review synthesis quality is uncertain enough that the reviewers felt they needed to investigate how well it actually works.
- The platform describes its AI model as 'proprietary' while also referencing GPT-4, creating ambiguity about what users are actually getting.
- User sentiment required digging through Reddit threads and Product Hunt comments rather than structured reviews, suggesting limited mainstream accountability.
Elicit vs SciSpace: common questions
Which is better, Elicit or SciSpace?
Elicit scores 7.8 and SciSpace 6.9 out of 10 among the literature search tools we rate. Elicit is ahead on finding papers, systematic reviews and access, teams and privacy. SciSpace is ahead on citing and writing.
Is Elicit or SciSpace cheaper?
Elicit's cheapest paid plan is $19/mo academic plan ($75/mo industry plan) and SciSpace's is $20/mo. Compare what each plan includes below before going on price alone.
What can Elicit do that SciSpace cannot?
On the facts both vendors publish: alerts for new papers, screening with include and exclude decisions, aI help with screening, removes duplicate references, pRISMA flow diagram and aPI.
What can SciSpace do that Elicit cannot?
On the facts both vendors publish: helps you write and adds citations, mobile app and works in languages other than English.
