Free
$0
Free plan with limited starter use; the credit allowance is not published on the pricing page.
- Limited credits
- Free Chat with PDF and citation generator

AI research workbench that finds real papers and drafts literature reviews with traceable citations
Yila is a web-based AI research workbench for students, academics and research teams. Starting from a research question, a paper link or a description of the needed output, it first drafts a research plan the user can confirm, then searches, reads, organises and writes. Literature search fans out across scholarly sources that the site names as OpenAlex, PubMed, arXiv, Semantic Scholar, Google Scholar, Crossref and Wanfang, ranking candidates by signals such as journal quartile, impact factor and citation count.
Plans as listed by the vendor on . Check their site for current prices.
$0
Free plan with limited starter use; the credit allowance is not published on the pricing page.
$20/month
For individual research and steady everyday use.
$49/month
For frequent research and sustained creation.
$99/month
For sustained high-intensity research and high output volume.
Scored out of 10 by the Finder Atlas editorial team.
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The About page describes Yila as currently in open free beta.
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The site names OpenAlex, PubMed, arXiv, Semantic Scholar, Google Scholar, Crossref and Wanfang as sources. It says results come with real titles, authors, venues and DOIs rather than invented citations.
The product refers to a free plan and describes itself as in open free beta, and the Chat with PDF and citation generator tools are marked free. The exact free credit allowance is not shown on the pricing page.
Paid plans are Starter at $20, Pro at $49 and Flagship at $99 per month, with discounted yearly billing and one-time lifetime packs. All models consume credits.
Yila says uploads, conversations and results are isolated to your account, encrypted in transit and never used to train AI models. Check its security page for details.
Yes. You upload a paper and choose a template; Yila builds an academic poster or an editable PowerPoint deck from it.
No public API is documented. The site publishes plain-text guides for AI assistants (llms.txt), which are not an API.
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