Current behavior:
Rovo Agents can read images when they are attached directly to a Jira issue as standalone image files (JPG, PNG, etc.).
However, when images are embedded inside file attachments (e.g., an XLSX with 3 embedded images, a PDF with screenshots, a DOCX with diagrams), Rovo cannot extract or interpret that visual content.
Expected behavior:
Rovo Agents should be able to extract and interpret images embedded inside file attachments, using the same vision capabilities already available for standalone image attachments.
Why this matters:
In real workflows, users attach documents (XLSX reports, PDF specs, DOCX requirements) that contain images as the primary content. The agent receives no information from these files, blocking AI-assisted analysis entirely.
Evidence:
Tested with an XLSX file containing 3 embedded images — openpyxl confirms the images exist (ws._images = 3) but Rovo returns no visual content from the file.
I think this is due to Rovo Agents only being able to process direct image attachments, they can't like open the files to see the attachment.
Where did you get the "expected behavior" information from?
The expected behavior is what we want Rovo agents to support: the ability to read and process images embedded inside file attachments. This would allow agents to extract and analyze visual content from common office files without requiring manual preprocessing. We're requesting this as a feature enhancement.
Also, do you have any insight into why this hasn't been implemented yet? Is it a technical limitation on Rovo's end, a model limitation, or is it simply not yet prioritized on the roadmap?.
Thanks for looking into this!
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Oh I see, yeah this sounds like a great feature suggestion, for that check out the options below.
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Welcome to the community @Esteban Malano _Appricity_ Here's a related post Can Rovo Analyze Images in Confluence? [Champion Slack Insider]
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