Elicit vs Literfy

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price: Elicit from $49/mo, Literfy from $19 once — different billing units, so no direct winner
Free plan: Both have one
Public API: Elicit has one; not confirmed by us for Literfy
Higher Trust score: Elicit — 94 vs 75 for Literfy
Best fit: Elicit: Systematic reviews and evidence synthesis where every included paper needs the same fields pulled · Literfy: Graduate students and PhD candidates drafting a first-pass literature review

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

ElicitLiterature review workflow that extracts data into tables

LiterfySearches Google Scholar, PubMed, and Semantic Scholar at once and drafts a literature review grounded in the papers it finds.

Side by side

Fact	Elicit	Literfy
Category	Academic Search & Literature Review	Academic Search & Literature Review
Pricing model	Freemium	Freemium
Starts at	$49/mo	$19 once
Public API	Yes	Not confirmed
Trust score	94 / 100	75 / 100
Platforms	Web, API	Web
Company	Elicit	Literfy
Launched	2021	—
Last verified	Oct 15, 2026	Oct 14, 2026

What our research says

Elicit

Elicit is the only one of these tools that treats a literature review as a structured extraction job rather than a chat, which is exactly right for the work. The price assumes you are billing someone else for the hours it saves.

Pros

Column-per-field extraction into a table is the correct shape for review work and rare elsewhere
Free tier is unusually generous: unlimited search, summaries and full-text chat
Every claim links back to the paper it came from
API access is included from the first paid tier rather than sold separately

Cons

The $49 to $169 jump is steep and Scale is priced for institutions, not labs
Free tier's limits on the Research Agent and Reports are not quantified anywhere on the pricing page
Extraction accuracy still needs spot-checking against the source PDF
Coverage is paper-centric, so grey literature and preprint-heavy fields are thinner

Literfy

Literfy's pitch — grounding every sentence of a generated review in an actual retrieved paper — targets the real failure mode of AI writing tools in academic contexts, which is confident-sounding citations to papers that don't say what the tool claims. Whether it fully avoids that failure mode isn't something that can be verified without testing it against a review the researcher already knows well.

Pros

Searches three major academic databases in one query instead of separately
Citation export in BibTeX/RIS plus direct sync to Zotero, Mendeley, and EndNote
One-time credit pack option for a single project instead of forcing a subscription
Free tier lets a user test output quality before paying

Cons

Company's legal name and country aren't disclosed on the site
Like any AI summarization tool, grounding claims still need a researcher's own verification against the source papers

Which one fits

Choose Elicit if you need

Systematic reviews and evidence synthesis where every included paper needs the same fields pulled
Researchers screening hundreds of abstracts against defined inclusion criteria
Pharma, policy and academic teams that need an auditable trail back to sources

Choose Literfy if you need

Graduate students and PhD candidates drafting a first-pass literature review
Researchers wanting one search across Google Scholar, PubMed, and Semantic Scholar instead of three separate searches