[BC Idea]: Add Support for Vision-Enabled AI Models in Business Central
Nobody has claimed this yet.
- Dominant language
- AL
- Stars
- 683
- Forks
- 459
- Avg merge
- 3d 26m
- Merged PRs (30d)
- 633
Description
BC Idea Link
https://experience.dynamics.com/ideas/idea/?ideaid=1c68ff7a-e328-f011-9d47-7c1e52f90348
Description
Description
We need to implement support for vision-enabled AI models in Business Central through the Azure OpenAI service. This would allow users to send images along with text prompts to AI models and receive detailed responses about the image content.
Why is this needed?
Vision capabilities will enable numerous valuable business scenarios:
- Product image analysis for catalog management
- Document and receipt processing with contextual understanding
- Quality control through image analysis
- etc.
This builds upon existing text-based Azure OpenAI capabilities, creating a more versatile AI integration that can work with both textual and visual data.
Requirements
- Allow sending images to AI models via multiple methods: URLs, direct uploads, Media fields, MediaSets, etc.
- Support detail level settings for image analysis (auto, low, high)
- Handle multiple images in a single request (up to 10 images per request as per Azure's limitations)
- Proper error handling for unsupported file types
- Documentation and examples for integration
Reference
Implementation should follow the official Microsoft documentation for GPT with vision:
Azure AI Services: Use vision-enabled chat models
I will provide the implementation for this BC Idea
- I will provide the implementation for this BC Idea
Internal work item: AB#578341
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the existing text-based Azure OpenAI capabilities and the linked Microsoft documentation for vision-enabled chat models. Confirm how URLs, uploads, Media fields, and MediaSets should map to requests, including detail levels, image limits, and unsupported types. Done means documented examples and working support for the listed image inputs and error cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100