Petal - AI-powered research platform for academics and scientists

What is Petal

If you've ever spent hours scrolling through hundreds of academic papers, trying to figure out which ones actually matter for your research, you're not alone. Academic researchers face an overwhelming amount of literature daily—thousands of papers published each year in every field, making it nearly impossible to stay current, organize findings, and extract meaningful insights efficiently.

Petal is here to change that. It's the world's first context-aware generative AI tool designed specifically for academic research. What makes Petal different from other AI assistants is its ability to connect directly to your own knowledge library. When you ask questions, Petal doesn't just generate responses from general knowledge—it pulls from the papers, articles, and sources you've uploaded, providing answers that are fully backed by citations from your own collection.

Think of it as having a research assistant who has read every paper in your library and can instantly point you to exactly what you need. Whether you're conducting a literature review, trying to understand a complex methodology, or need quick clarification on a concept, Petal delivers reliable, source-backed answers in seconds.

The platform combines powerful AI capabilities with intuitive文献管理 tools—all in one place, completely free to use. You can upload PDFs, organize them into collections, generate citations in over 10,000 styles, and even chat with multiple documents simultaneously to identify patterns across research.

Trusted by 30,000+ researchers, Petal is used by academics at MIT, Caltech, Stanford, Harvard, Cornell, University of Chicago, Berkeley, and Penn. Whether you're a graduate student starting your first project or a seasoned professor managing years of research, Petal adapts to your workflow and grows with you.

---

Petal's Core Features

Here's what you can accomplish with Petal—and how each feature translates to real time savings in your research workflow.

AI Research Assistant

This is the heart of Petal. You can use it to translate papers into 10+ languages, generate concise summaries of lengthy articles, explain complex concepts in plain language, identify key points and arguments, and get answers to specific questions about anything in your library.

What sets this apart from generic AI tools is the source connection. When you ask a question, Petal cites the exact papers and pages where it found the information, so you can always verify and trace back to original sources.

Reference Manager

You can use this to build and maintain your personal cloud-based文献库. Upload PDFs directly, organize them into themed collections with custom tags, and let Petal automatically extract metadata like authors, publication dates, and journal names. The system also detects duplicates so your library stays clean, and everything syncs across your devices in real time.

Citation Generator

You can use this to generate perfectly formatted citations instantly. Whether you need Harvard, MLA, APA, IEEE, AMA, Chicago, ACS, Vancouver, or any of the 10,000+ supported styles—just input a DOI, PMID, ArXivID, ISBN, ISSN, EAN, or URL, and Petal does the rest. Export to clipboard, BibTeX, or directly into Word with their plugin.

AI Table

You can use this to compare findings across multiple papers at once. Upload several related studies, and Petal's AI will generate a structured table highlighting differences in methodologies, sample sizes, results, and conclusions. This is especially powerful for literature reviews, identifying research gaps, and tracking how specific metrics have evolved over time.

Multi-doc Chat

You can use this to have a conversation with your entire文献库 at once. Instead of opening 15 PDFs separately, upload them all and ask questions that span multiple sources: "What are the main disagreements between these authors about climate modeling?" or "Summarize the consensus on this methodology across all these papers." Petal synthesizes answers from across your documents, showing you exactly which sources contributed to each point.

Collaboration

You can use this to work seamlessly with your team. Invite collaborators to shared workspaces, share specific collections with colleagues, and sync changes in real time. Whether you're working on a group project, co-authoring a paper, or conducting peer review, everyone stays on the same page—literally.

Browser Extensions and Word Plugin

You can use this to capture research from anywhere on the web. The browser extension (available for Chrome, Firefox, and Safari) lets you save PDFs and web pages directly to your Petal library while browsing. The Word plugin integrates citation search and insertion directly into your writing workflow—no more switching between windows.

Web Importer

You can use this to capture online articles and resources with one click. Browse the web for relevant research, and the importer automatically extracts and saves the content to your library, ready for AI analysis and citation.

---

Who Uses Petal

Academia: Research Faster, Write Better

If you're a graduate student, PhD candidate, professor, or academic researcher, Petal transforms how you handle literature. The typical pain point: spending weeks on literature reviews, manually筛选ing through hundreds of papers to find the 20 that actually matter.

Petal's AI helps you filter faster, organize smarter, and understand deeper. Use the AI assistant to translate foreign-language papers, get summaries of dense technical documents, and ask specific questions about methodology or findings. The AI Table feature helps you compare studies side by side to identify patterns and gaps in existing research.

Result: What used to take weeks now takes days. You spend less time searching and more time actually doing research.

Corporate R&D: Capture and Share Institutional Knowledge

If you work in corporate research and development, you know the challenge: knowledge scattered across individual computers, team members who leave taking years of expertise with them, and difficulty leveraging past research for new projects.

Petal provides a centralized repository for all your team's research materials. Upload internal reports, industry studies, and technical papers into shared workspaces. Team members can search across the entire knowledge base, ask the AI for insights from past research, and collaborate in real time on projects.

Result: Institutional knowledge stays preserved, new team members onboard faster, and research leverage improves dramatically across the organization.

Industry Experts: Get Reliable, Source-Backed Answers

If you're an industry expert, consultant, or professional who needs accurate, citable information for reports, presentations, or client work, Petal ensures you always have reliable answers with verifiable sources.

Upload the reports, white papers, and industry analyses relevant to your work. When you need to explain a complex concept or cite a specific statistic, Petal's AI draws only from your verified sources—no hallucinations, no uncertain answers. Every response comes with citations you can trust.

Result: Confidently present findings knowing every claim is backed by source material you control.

---

Petal's Pricing Plans

Choosing the right plan depends on your research volume and feature needs. Here's a clear breakdown:

.edu Discount: Students and educators with a valid .edu email address enjoy lower pricing: $2.99/month for Plus, $9.99/month for Advanced.

Which Plan is Right For You?

Free ($0/month): Perfect if you're just getting started with AI-assisted research or have a small personal library. You get 400 AI credits to test the core features, including 7-day trials of Multi-doc Chat and AI Table. Ideal for undergraduate students or researchers with occasional needs.

Plus ($2.55/month): The sweet spot for most individual researchers. Unlimited collections and annotations mean your library can grow without limits. AI Table is included, and you can export citations in any style—essential for thesis writing and publication. With a .edu email, it's just $2.99/month.

Advanced ($8.49/month): For serious researchers and graduate students who need the full AI suite. 1,200 AI credits/month and 10GB storage handle heavy research workloads. Full Multi-doc Chat and AI Create unlock the most powerful features. Priority support means faster responses when you need help.

Premium ($25.49/month): For professionals with extensive research needs. 25GB storage and 2,000 AI credits/month accommodate large libraries and frequent use. No limitations—everything included, maximum performance.

---

Frequently Asked Questions