
Petal
AI-powered platform for document analysis, chat, collaboration, and content creation.
document analysisgenerative AIcontext-aware AI
Introduction
Petal is an AI-powered document analysis platform that allows users to chat with their documents. It utilizes generative AI to provide accurate and reliable answers sourced directly from trusted documents. Users can quickly understand complex topics, summarize and translate content, and even draft new content using the built-in Notebook. Petal also enables collaboration with team members through document sharing, annotations, and comments. It offers a multi-document AI table for document comparison and filtering using conversational natural language.
Key Features
AI-powered document analysis
Generative AI for accurate and reliable answers
Context-aware AI for understanding complex and technical topics
Built-in Notebook for summarizing, translating, and drafting new content
Collaboration features including document sharing, annotations, and comments
Multi-document AI table for document comparison and filtering
Frequently Asked Questions
What is Petal?
How to use Petal?
What is Petal?
How can I use Petal?
What are the core features of Petal?
What are the use cases for Petal?
Can I train Petal's AI on my own documents?
Is Petal secure?
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Use Cases
- Academia
- Corporate R&D
- Industry Experts
How to Use
To use Petal, users can sign up for an account and log in to the platform. They can then upload their documents to Petal's cloud drive, which serves as a centralized location for all their important documents. Petal's AI technology automatically extracts metadata from the documents and provides technical and scientific document support. Users can chat with their documents to obtain fully sourced and reliable answers. They can also highlight key points, share comments, and generate shareable links for collaboration. Petal's AI table allows users to compare and filter documents using natural language. Overall, Petal helps users work smarter and more efficiently with their documents.