Supported Commercial Real Estate Document Formats for AI Processing

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.

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#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

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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.

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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.

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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

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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.

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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.