The Challenge
Lost context: When AI processes an entire document at once, it is difficult to tell it which specific paragraph, image, or table you want it to analyze. You either take a leap of fait, or resort to manual cut-n-paste.
Lack of granularity: Without cell-level or paragraph-level precision, AI-generated insights cannot be easily traced back to their exact source, undermining confidence in the output.
The Solution: Document-centric AI
Cube5’s Actionable Documents turns static files into interactive areas. Every element of a document - images, tables, charts, text - are identified, isolated and described.
Instead of just viewing a PDF, you can quickly find what you need with AI-enabled search, identify particular areas of interest, and apply AI directly on a specific image, table or paragraph.
The Solution: Copy, Chat or Export
Tables embedded in PDFs are automatically converted into structured format, allowing export to Excel, copy to other applications, or sent to Chat. It can handle complex tables, with spanning headers, merged cells and footnotes.
Gone are the days of frustrating attempts to copy values out of PDF tables - losing alignment, headers and formatting.
The Solution: Precise Citations and Document Highlights
Every answer, insight, or extracted piece is traced back to the exact source in the original document, where precise highlights allows quick validation and increased accuracy.
This level of precision turns documents from static reference material into a trusted, auditable foundation for decision-making and reporting.
The Solution: Selective Copying
Sometimes tables are large, and precision means taking action on individual cells. In ‘Cell Selection’ mode, you can select exactly the regions and cells required, for Copy, Export or Chat for further analysis.
Aside from saving you time, it makes prompting easier, increases accuracy, and avoids confusing the AI.