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Petal

AI-powered platform for document analysis and knowledge extraction.

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What is Petal?

Petal is an AI-powered platform that lets you ask questions about your documents and get answers with source citations. Instead of manually searching through PDFs, research papers, or reports, you upload your files and chat with them using natural language. The AI extracts information directly from your documents, so answers are grounded in your actual content rather than general knowledge. The platform is designed for researchers, academics, professionals, and anyone who works with large volumes of documents. It includes a cloud storage system for organising files, tools for highlighting and annotating key sections, and collaboration features so teams can comment and share findings. Petal works particularly well with technical and scientific documents.

Key features

Chat interface

Ask questions about your documents in plain language and receive sourced answers

Cloud document storage

Centralised repository with automatic metadata extraction and duplicate file detection

Annotation and highlighting

Mark important sections and add comments within documents

Collaboration tools

Share documents, add comments, and generate shareable links for team access

Source citations

Answers include references to the specific sections they came from

Pros & cons

Advantages

  • Saves time on document review by quickly extracting information without manual reading
  • Answers are grounded in your actual documents, reducing hallucinations from general AI models
  • Works well with technical and scientific documents that often contain complex information
  • Collaborative features make it useful for team-based research and document analysis

Limitations

  • Requires paid subscription; no free tier mentioned for full feature access
  • Effectiveness depends on document quality and clarity; poorly scanned or formatted files may cause issues
  • Relies on uploading documents to cloud storage, which may concern users handling sensitive or confidential material

Use cases

Researchers quickly extracting findings and data from multiple academic papers

Legal professionals reviewing contracts and identifying relevant clauses

Students summarising and comparing information across course materials and textbooks

Medical professionals searching for specific information in patient records and clinical literature

Business analysts reviewing reports, proposals, and competitive intelligence documents

Ready to try Petal?

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Pricing

Paid Plan

Specific pricing not publicly listed

Full access to document chat, cloud storage, annotations, and collaboration tools. Exact pricing tiers and costs require visiting the website.

Get started with Petal

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