Describe what the screenshot shows
Name the component, classify the issue type, and describe the current versus expected visual state, plus any annotation notes.
UI FEEDBACK TO CODING TASK
Screenshot2Task
Describe a UI screenshot or annotated feedback and turn it into a structured coding task an AI development agent can act on.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Score task clarity
Each field contributes to a clarity score, rewarding specific descriptions over vague ones, so a thin task is flagged before it reaches the agent.
Copy the assembled task into your agent
Get a structured coding task you paste alongside the actual screenshot file into your AI development agent or ticket.
Continue learning: Why edge cases break first in AI-generated apps · Bug triage that actually speeds up fixes
Frequently asked questions
Does this analyze my actual screenshot image?
No. This tool assembles and scores a coding task entirely from the description you type into the fields on this page — component, issue type, current vs expected state, and annotation notes. It does not parse real screenshots, stack traces, commits, or pull requests itself, and does not connect to any coding agent or version control system.
Do I still need to attach the screenshot?
Yes. Paste the assembled task text alongside the actual image file into your AI coding agent — the agent needs the real image; this tool only structures the description around it.
What counts as a "thin" description?
Short, vague current/expected fields like "looks wrong" score low. Specific, comparative descriptions ("total is left-aligned instead of right-aligned and bold like the cart page") score higher because an agent can act on them without guessing.
Why does severity matter here?
Severity doesn't change the clarity score, but it is included in the assembled task so the agent (or a human triaging a queue of tasks) knows whether this blocks a flow or is cosmetic polish.
Is this a bug tracker?
No — it doesn't store or manage tasks. It produces one structured task per use that you paste into your own ticketing system or coding agent.
How We Compare
| Feature | MVPHub | Replit | Lovable |
|---|---|---|---|
| Structured issue-type + severity classification | Included | Not included | Not included |
| Task-clarity score from field completeness | Included | Not included | Not included |
| Reads screenshot images directly | Not included | Included | Included |
| AI code generation from feedback | Not included | Included | Included |
Replit and Lovable can act on visual feedback pasted directly into their agents, including reading images. Screenshot2Task instead helps you structure that feedback into a precise, scored task description before you hand it to any agent, which reduces back-and-forth regardless of which tool receives it.
Related tools
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