Generate text-based summaries
Generate meeting minutes from audio recordings
This app summarize the text data provided by the user
Process and analyze meeting recordings
RAG AI on the multiple files
Generate detailed text summaries from documents
Api
A chatbot that can answer based on an uploaded document.
AI Knowledge Tree Builder AI
Text summarisation
Condenses long text into short summary using AI Bart model
Generate text summaries from documents
Generate detailed meeting minutes from audio
Brat is an AI-powered tool designed to automate the process of generating meeting notes and summaries. It leverages advanced text-based summarization to help users extract key insights and action items from meetings efficiently. Perfect for professionals looking to save time and stay organized, Brat simplifies the post-meeting workflow by providing accurate and concise summaries.
• Automatic Meeting Summaries: Brat generates detailed summaries of meetings, capturing key discussions and decisions.
• Multi-Language Support: The tool can process and summarize meetings conducted in multiple languages, making it versatile for global teams.
• Integration Capabilities: Brat integrates seamlessly with popular video conferencing tools like Zoom and Microsoft Teams.
• Customizable Output: Users can adjust the length and focus of summaries to suit their specific needs.
• Real-Time Processing: Summaries are generated in real-time, allowing immediate access to meeting notes.
1. How long does Brat take to generate a summary?
Brat generates summaries in real-time, providing results immediately after the meeting ends.
2. Can Brat work with multiple languages?
Yes, Brat supports multiple languages, making it ideal for international teams and global collaborations.
3. Is my meeting data secure with Brat?
Brat prioritizes user privacy and security. All meeting data is encrypted and processed in compliance with data protection regulations.
4. How accurate are Brat's summaries?
Brat uses advanced AI algorithms to ensure high accuracy. However, users are encouraged to review summaries for context-specific nuances.