AI hub

Enables users to ask questions about uploaded documents in natural language and receive direct answers without manual searching. The system understands context and can answer follow-up questions about specific sections or data points.

Automatically generates concise summaries of uploaded documents, condensing lengthy content into key points and main ideas. Works across PDFs, spreadsheets, and images.

Supports interactive conversations with multiple document types including PDFs, spreadsheets, and images in a single interface. Users can switch between documents and maintain context across different file formats.

Extracts structured data from spreadsheets and answers questions about datasets through natural language queries. Can identify patterns, perform calculations, and provide insights from tabular data.

Analyzes images and answers questions about their content, including text recognition (OCR), object identification, and contextual understanding. Enables conversation about visual documents like scanned pages or diagrams.

Maintains conversation history and context across multiple turns, allowing users to ask follow-up questions, clarify previous answers, and reference earlier parts of the conversation without re-uploading documents.

Allows users to upload documents to the platform and manage their document library. Supports organizing and accessing previously uploaded files for future conversations.

Leverages Instabase's document processing infrastructure to provide high-quality optical character recognition and document parsing. Handles complex document layouts, multiple languages, and poor-quality scans better than standard AI tools.