Commercial Real Estate workflows involve a wide range of document types.
At Antela.ai, our goal is to support operational workflows across listing creation, marketing generation, property intelligence extraction, and deal execution.
Because CRE documents vary significantly across brokerages and property types, supporting multiple file formats is essential.
Common CRE Documents Supported
AI-powered CRE workflows often process:
- Offering Memorandums (OMs)
- Property brochures
- Rent rolls
- Financial statements
- Market reports
- Flyers
- Property summaries
- Lease abstracts
- Floor plans
- Site plans
- Tenant information sheets
Supported File Formats
Typical supported formats include:
PDF Documents
The most common CRE format.
Used for:
- OMs
- brochures
- financial packages
- marketing materials
Both native PDFs and scanned PDFs may be processed.
Microsoft Excel Files
Often used for:
- rent rolls
- financial analysis
- operating statements
- underwriting
Structured spreadsheets can significantly improve extraction quality.
Microsoft Word Documents
Common for:
- property summaries
- proposals
- internal documentation
- narrative content
Image Files
Some workflows may support:
- JPG
- PNG
- TIFF
for scanned marketing materials or property visuals.
OCR and Scanned Document Handling
Many CRE documents are scanned or image-based.
OCR (Optical Character Recognition) enables systems to:
- identify readable text
- structure layouts
- extract property intelligence
However, extraction quality may vary depending on scan quality.
Best Practices for Uploads
For optimal workflow performance:
- use high-resolution files
- upload original documents when possible
- avoid heavily compressed scans
- maintain clear table formatting
- separate supporting documents logically
Why Flexible Document Support Matters
CRE operations rarely follow a single standard.
Different brokerages use:
- different templates
- different marketing packages
- different reporting styles
- different financial structures
AI-native workflows must adapt to this variability.
The goal is not forcing standardization.
The goal is intelligently handling operational complexity.
The Future of CRE Document Intelligence
We believe document intelligence will become a foundational layer in CRE workflow automation.
Eventually, systems will not only process documents but also:
- understand operational context
- route workflows intelligently
- recommend next actions
- identify missing information
- optimize execution processes
This is where AI-native CRE workflows become far more powerful than isolated document tools.