Screen capture to markdown for AI coding agents
Capture the screen, talk through the problem, publish a markdown document that both your teammate and your coding agent can read directly.
Screen capture to markdown is a small category with a big job: turn what you see on screen into a document an AI coding agent can act on. You drag a box around the broken part, narrate the problem, and end with a markdown file that has cropped screenshots, source URLs, and your commentary inline. It is the artifact format that survives the handoff from human reviewer to agent. The rest of the solutions hub covers the specific tools this category replaces.
Why this category exists
The old feedback workflow was screen capture plus email, or screen capture plus Slack, or screen capture plus a Jira ticket. The recipient was a person. A person could squint at a screenshot, read a paragraph of context, and figure out what you meant. If the screenshot was ambiguous, the person asked a follow-up question.
The new workflow has an AI coding agent sitting between the reviewer and the fix. Cursor, Claude Code, Windsurf, and the rest of the stack don't squint. They parse. They need text they can read, images they can fetch, and explicit references to what's broken. A bitmap pasted into a chat thread without context is dead on arrival. A video file is worse: agents cannot watch video at all.
Markdown is the format that satisfies both audiences at once. A teammate reads it as a structured doc. An agent reads it as a prompt with embedded visual context. One artifact, two readers, zero translation.
What "screen capture to markdown" looks like
The mechanics are simple, and that's the point.
You start on the page you want to review. You hit Capture, pick the window, and a full-resolution frame goes to a canvas. You drag a rectangle around the part that matters. The screenshot gets stamped with the source URL it came from, so the agent can navigate back to the live page if it needs to.
Then you talk. Dictation transcribes your voice to text in the comment block next to the screenshot. Speech is faster than typing and carries the nuance a typed bug report skips: "this happens on iOS Safari but not Chrome, only after the cart has more than three items."
You repeat for each finding. Each one becomes a heading, an image reference, and a paragraph of context. When you publish, you get a public URL. That URL renders as HTML for humans, exports as .md for agents, and embeds inline in any markdown-aware editor.
The whole document is one shareable link. No video file. No proprietary viewer. No login wall between the recipient and the content.
Example output
# Staging review, onboarding flow
Source: https://staging.example.com/onboarding
The "Continue" button is overflowing the container at widths under
380px. Tested on iOS Safari and Chrome Android. The container appears
to be a flex row that isn't wrapping.
Email validation fires on every keystroke. Should debounce or wait
for blur, the inline error flashes before the user has finished
typing the local part of the address.
The progress bar resets to 0% when the user navigates back from
step 3 to step 2. State should persist; this is a regression from
the previous build.
Paste that into Cursor's composer, Claude Code's terminal, or a Linear issue. The format works the same in every destination.
How CobaltCapture fits the category
CobaltCapture is the dedicated tool for this category. Browser-native, so there's no install. Voice dictation built in, so the commentary writes itself while you point at the screen. Public URLs by default, so sharing is one copy-paste. Free during beta, so the only cost of trying is sixty seconds of your time.
The product was built around the markdown artifact, not retrofitted to produce it. Every design decision, the source URL stamp on each screenshot, the per-item comment blocks, the one-click markdown export, exists to make the document agent-readable. See the Cursor workflow page for an end-to-end example with a real composer prompt that names the review URL and asks the agent to address each finding in order.
Other tools in this space approach the problem from different angles. Some have stronger desktop integration. Some have richer annotation. Some have account-gated sharing built for client-services teams. The comparison pages below cover the tradeoffs honestly, page by page.
Compared to other tools in this category
Loom is the most common alternative. It records video, which is great for a human watching a walkthrough and useless for an agent that cannot watch video. A Loom URL pasted into Cursor gives Cursor nothing to work with. See the Loom alternative page for the longer comparison.
Scribe captures step-by-step SOPs as HTML in Scribe's app. Excellent for training docs and process documentation. Wrong shape for one-off problem reports, and the output stays in Scribe rather than exporting as portable markdown.
CleanShot X is a polished Mac screenshot tool. The output is a bitmap, sometimes with a markup layer, sometimes with a quick recording. No structured comment field. No source URL. No markdown export. A great screenshot tool, not an agent-handoff tool. See the CleanShot X alternative page for specifics.
Each of these has a place. CobaltCapture is the one built specifically for the agent-handoff job: the moment when "I see the problem" becomes "the agent fixes the problem," and the format of the artifact between those two states decides whether the fix lands on the first pass or the fifth.
Capture your first review.
About a minute from open tab to a shareable URL your agent can ingest.
Start capturing