How does the data analysis feature work?

You upload a CSV or XLSX file, and Yila first profiles the data, then chooses an analysis path suited to your question, returning clear results, professional charts, and reusable files/code.

How does paper formatting work?

You upload the manuscript along with whatever governs its formatting — a thesis guide, journal requirement, Word template, LaTeX kit, or just the venue name. Yila determines which file is which, delivers the format the recipient can use, keeps tables, figures, and equations intact, and tells you what was checked and what was not.

Each plan includes a credit allowance per billing period (10,000 for Starter, 30,000 for Pro, 60,000 for Flagship). Credits are consumed by tasks such as literature searches, reports, figures, posters, and multi-step long tasks, with higher tiers offering larger allowances and scope. Successful renewals refresh period credits.

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Yila AI — The Codex for research: search, read, and draft papers

Yila AI is an AI research assistant — self-described as 'the Codex for research' — that covers the full research workflow across scoping, search, reading, and drafting. It searches real scholarly papers from OpenAlex, PubMed, arXiv, and Wanfang, generates citation-backed literature reviews from 50+ full papers, produces scientific figures and academic posters, converts uploaded papers into presentation-ready PowerPoint decks, performs data analysis from uploaded CSV/XLSX files, and reformats manuscripts according to journal, thesis, or venue requirements. It's built for researchers, with every claim traced to a source and a credit-based pricing model.

Key Features

Sourced literature search

Describe a topic and Yila searches trusted scholarly databases (OpenAlex, PubMed, arXiv, Wanfang), builds a quality-ranked candidate pool, and returns verified papers with abstracts, citation signals, and key findings — never invented citations.

Citation-backed literature reviews

Reads 50+ full papers, compares methods, findings, and evidence strength, then drafts a citation-backed review with an editable structure — not an encyclopedia-style summary.

Scientific figure generation

Describe a mechanism, workflow, or scientific concept in natural language to generate polished figures for papers and academic slides, edit directly in the browser, and export files that stay editable.

Academic poster generation

Choose a template and upload a paper; Yila distills the research question, methods, and key results into a polished conference poster you can keep editing before export.

Paper-to-presentation decks

Upload a research paper and Yila plans the narrative and argument structure, then produces slides covering background, methods, results, and conclusions, exportable as an editable PowerPoint.

Data analysis

Upload a CSV or XLSX file; Yila profiles the data first, chooses an analysis method suited to your question, and returns results, professional charts, and reusable code/files.

Paper typesetting and formatting

Upload a manuscript plus the governing formatting rules (thesis guide, journal requirement, Word template, LaTeX kit, or venue name) and Yila determines the right output format, carries over tables, figures, and equations intact, and reports what was checked and what wasn't.

Multi-step long tasks and additional outputs

Supports multi-step long-running tasks, plus research reports, slides, patents, and other output types selectable from the prompt interface.

How It Works

1. Start with a prompt

Ask a research question, paste a paper URL, or describe the draft you need, choosing from task types like literature search, literature review, scientific figure, academic poster, slides, paper typesetting, or data analysis.

2. Yila searches and reads real papers

For research tasks, Yila queries OpenAlex, PubMed, arXiv, and Wanfang, reads full papers, ranks candidate quality, and traces every claim to a source.

3. Review, edit, and export

Outputs — reviews, figures, posters, decks, reports — remain editable, with exports like editable PowerPoint files and reusable analysis files.

Pros & Cons

Pros

Grounded in real scholarly databases (OpenAlex, PubMed, arXiv, Wanfang) with verified citations rather than invented ones
Covers the research workflow end-to-end: search, review, figures, posters, slides, data analysis, and formatting
Literature reviews are built from 50+ full papers with methods and evidence strength compared, not just abstract summaries
Outputs stay editable (browser figure editing, exportable PowerPoint, reusable analysis files)
Data analysis profiles the data and chooses a method before producing results

Who It's For

Best for

Academic researchers and graduate students who need sourced literature searches and citation-backed reviews
Researchers preparing lab-meeting decks, conference talks, and academic posters from papers
Authors formatting manuscripts to specific journal or thesis requirements
Anyone analyzing CSV/XLSX research data who wants method selection, charts, and reusable code

Not ideal for

Casual users looking for a free AI assistant — the lowest tier is a paid $20/month plan
General-purpose chat or coding use — Yila is purpose-built for scholarly research workflows

Use Cases

Scoping a new research topic and building a verified, quality-ranked paper pool

Drafting citation-backed literature reviews for theses or papers

Creating figures and posters for papers, slides, and conference presentations

Turning a paper into a lab-meeting deck, conference talk, or thesis defense presentation

Analyzing uploaded CSV/XLSX datasets with reusable code and charts

Formatting manuscripts to journal, thesis, or conference requirements

Pricing

Credit-based subscription plans: Starter at $20/mo with 10,000 credits, Pro at $49/mo with 30,000 credits (marked Popular), and Flagship at $99/mo with 60,000 credits. Yearly billing saves 20% and a lifetime option saves 30%. Payments processed via Stripe (card, WeChat Pay, Alipay). Successful renewals refresh period credits.

Starter

$20/mo

For individual research and steady everyday use. 10,000 credits per period, frontier AI models (Pro and Expert), in-depth research for everyday topics, sourced literature search at standard scope, research reports for everyday work, scienti

Pro

$49/mo

For frequent research and sustained creation. 30,000 credits per period, frontier AI models (Pro and Expert), in-depth research across parallel topics, literature search at extended scope, reports for frequent delivery, figures and posters

Flagship

$99/mo

For sustained, high-intensity research and high output volume. 60,000 credits per period, frontier AI models (Pro and Expert), in-depth research for long-running programs, literature search at review scale, reports for batch delivery, figur

FAQ

What is Yila AI?

Yila AI is an AI-powered research tool that covers the full research workflow — scoping, search, reading, and drafting. It searches real papers from OpenAlex, PubMed, arXiv, and Wanfang, and produces cited reviews, annotated outputs, figures, posters, slides, reports, data analyses, and formatted manuscripts.

Where do the papers and citations come from?

Yila searches trusted scholarly databases including OpenAlex, PubMed, arXiv, and Wanfang. It builds a quality-ranked candidate pool and delivers verified papers with abstracts, citation signals, and key findings — the site states papers are verified and citations are never invented, and every claim is traced to a source.

How much does Yila AI cost?

Three subscription tiers: Starter at $20/month (10,000 credits), Pro at $49/month (30,000 credits), and Flagship at $99/month (60,000 credits). Yearly billing saves 20% and a lifetime option saves 30%. Payments are processed by Stripe, with card, WeChat Pay, and Alipay supported.

What can I create with Yila AI?

Yila AI