omnimodal/capability-profiler

Omnimodal Capability Profiler

Create a clear capability map for multimodal and omnimodal AI systems.

This local-first tool helps document which modalities an AI model can accept, understand, generate, or act upon.

It is built for the independent Hugging Face organization Omnimodal.

What it does

Create a model profile across:

• —Text
• —Image
• —Audio
• —Video
• —3D
• —Sensors
• —Tools
• —Actions

For each input → output pathway, mark support as:

• —Native
• —Supported
• —Experimental
• —None

The Space then generates:

• —an input/output capability matrix
• —modality coverage
• —pathway coverage
• —capability summary
• —downloadable JSON
• —downloadable Markdown for model cards

Why this is useful

Modern AI systems are increasingly difficult to describe with one label such as:

• —text model
• —vision-language model
• —multimodal model

A capability matrix makes the supported pathways explicit.

For example:

Image → Text
Audio → Text
Text → Image
Video → Text
Sensors → Action

Two models may both be called "multimodal" while supporting very different paths.

Local-first

All profile data stays in your browser.

No model names, notes, capability claims, or exported data are sent to a backend.

Use cases

Useful for:

• —Hugging Face model cards
• —internal AI inventories
• —model comparisons
• —multimodal benchmark planning
• —architecture documentation
• —capability audits
• —research notes
• —agent and robotics projects

Important note

The Space does not automatically verify model capabilities.

Profiles reflect the information entered by the user.

For public claims, verify capabilities against model documentation and reproducible tests.

Independent project

Omnimodal is an independent Hugging Face community organization.

It is not an official model provider, benchmark authority, standards body, or Hugging Face organization.

Perceive everything. Connect meaning. Act intelligently.