Screen capture vs screen recording

Screen capture and screen recording look like the same thing, a picture of your screen, but they produce different artifacts. This is one of the foundational concepts on the guides hub. A screenshot is a still PNG you can paste anywhere. A recording is a video file someone has to watch. The choice between them is the choice between something that gets read and something that gets watched, and that decision shapes everything downstream: file size, where it can be embedded, who can act on it, and whether an AI agent can use it at all.

What you'll learn

• The technical difference between a screen capture and a screen recording
• When a still image is the right artifact and when motion is required
• Why AI coding agents read screenshots but can't watch videos
• Where animated GIFs fit between the two formats
• How to pick the right format for product feedback, bug reports, and demos

What each format actually is

A screenshot is a still image of a region of your screen, encoded as PNG or JPG. PNG is the default for product feedback because it's lossless, supports transparency, and renders text crisply. A typical cropped product screenshot is 50-500KB, embeds inline in markdown, displays on every device without a player, and can be opened by any image viewer ever shipped. It captures one frame: one moment, one state, one specific problem.

A screen recording is a sequence of frames encoded as video, usually MP4 (H.264), WebM (VP9), or MOV (QuickTime). A short Loom-style recording runs 30 seconds to a few minutes and weighs 5-50MB. The artifact is time-based: to consume it, the viewer presses play and watches at human speed. Recordings can include audio narration, system audio, and cursor motion. They're great at showing behavior, sequences, and timing. They're bad at being skimmed.

An animated GIF sits between the two. Technically it's a sequence of frames, like video, but it renders inline in any HTML or markdown context like an image. No player required, no audio, no scrubbing. GIFs are the right format for short interaction loops, a hover state, a one-second animation, a button press, where you want motion but don't need narration. The downsides are file size (a 5-second GIF is often larger than the equivalent MP4) and quality (256-color palette, no compression smarts). For anything longer than a few seconds, a video file is cheaper and looks better. Modern alternatives like animated WebP and APNG exist but adoption is uneven, so GIF is still the lowest-common-denominator choice when you need inline motion.

The format dictates the workflow. A still image goes into a markdown file, a Slack message, a Jira ticket, an LLM prompt. A video goes into a player. Those are different worlds.

When a screenshot is the right artifact

A screenshot is the right call when the problem lives in a single frame. The submit button is misaligned. The error toast says the wrong thing. The empty state has a typo. The font weight on the hero is wrong on iPad. Each of these issues is fully visible in one captured moment, and adding 30 seconds of video around it just buries the actual finding.

Screenshots are also the right call when the artifact has to be embedded somewhere. Markdown bug reports, GitHub issue comments, Slack threads, Notion pages, and AI coding agent prompts all accept inline images. They all reject video. If the next step in your workflow involves pasting the feedback into a document or a chat, a screenshot survives the trip and a video doesn't.

The biggest reason to default to screenshots in 2026 is the reader. When the reader is a human engineer who'll go fix the bug, both formats work, with different tradeoffs. When the reader is Cursor, Claude Code, Windsurf, or any other AI coding agent, the screenshot is the only format that works at all. Coding agents process images inline, they can see what's in the picture and reason about it. They cannot watch a Loom. A video URL in a Cursor prompt is just a link the model can't follow. So if your workflow ends in "ask the agent to fix it," the artifact has to be a still.

Screenshots are also faster to produce, faster to consume, and easier to annotate. A reviewer can crop down to the exact pixel range that matters and move on. A reader can scan ten screenshots in the time it takes to watch one Loom. For most product feedback, the kind where someone reviews a staging build and files five findings, screenshots are correct nine times out of ten.

When a recording is the right artifact

A recording is the right call when the problem is behavior over time. An animation jitters partway through. A loading spinner spins forever. A race condition only fires when you click two things in sequence. A drag interaction snaps back to the wrong position. Anything where the bug is "watch what happens when I do this" needs motion, because the frozen moment doesn't carry the information.

Recordings are also the right call when the repro steps are non-obvious and showing them is faster than writing them. "First open the dropdown, then scroll to item 12, then hold shift and click, then notice the highlight is wrong" is a paragraph nobody will read carefully. The same sequence as a 20-second clip is instantly clear. If you're documenting a multi-step interaction for a human engineer, a recording can save real time on both sides.

Async demos for non-technical audiences are the third strong case. A founder showing a feature to an investor, a designer walking a PM through a mock, a support team showing a customer how to do something, in all of these the audience is a human, the value is the narration, and the format is "watch this when you have a minute." Loom built a great product around exactly this use case.

The thing to notice is that all three cases share an assumption: the reader is a human who will press play. The moment the next step in the workflow involves an AI coding agent, a markdown document, a ticket system, or anything that doesn't include a video player, the recording becomes a dead end. You're producing an artifact for an audience of one specific type. That's fine when it matches the actual audience. It's a mismatch when the real reader was going to be Cursor.

The audience determines the format. Decide who's reading before you decide what to capture.

How CobaltCapture fits in

CobaltCapture is screen-capture-first by design. The capture flow produces a cropped PNG, a source URL, and dictated commentary, three pieces that compose into a markdown document an AI agent can read and a human can scan. There's no video file at the end of the workflow, on purpose.

The bet is that voice dictation gives you the "narration" value of a recording without the video file as the carrier. When you talk through a finding while capturing it, the explanation gets transcribed into the markdown alongside the screenshot. You get the context a Loom would have carried in audio, but it lives as editable text the agent can ingest. The screenshot answers what's wrong. The dictation answers why it matters. Together they replace most of what a recording does for product feedback, in a format that pastes into Cursor's composer or Claude Code's terminal without translation.

If your workflow needs actual motion, use a different tool. CobaltCapture isn't trying to replace screen recording in every context. It's the right answer when the next reader is an AI agent or a markdown-native human, which is most product feedback in 2026. For a side-by-side of where Loom fits and where it doesn't, see CobaltCapture vs Loom.

Frequently asked questions

What is the difference between screen capture and screen recording?

Screen capture is a still image of part or all of a screen, saved as a PNG or JPG. Screen recording is a video of the screen over time, saved as MP4, WebM, or MOV. One is a frozen moment; the other is motion. The choice between them is the choice between something that gets read and something that gets watched.

When should I use a screenshot instead of a video?

Use a screenshot when the problem exists in a single frame, when the artifact needs to be embedded in markdown or a ticket, or when the reader is an AI coding agent. Most product feedback fits this shape: a specific issue, visible in one moment, that someone or something else needs to act on.

Can AI coding agents read screenshots?

Yes. Cursor, Claude Code, Windsurf, and most modern AI coding agents process images inline. They can see a screenshot referenced in a markdown document and reason about what's in it. This is why agent-readable feedback is screenshot-first: the format the agent can actually act on is the still image, not the video.

Can AI coding agents watch screen recordings?

No. Coding agents do not stream or transcode video. A Loom URL pasted into Cursor is just a link the model can't open. The video is unreadable as input until a human transcribes it into text, at which point you've done the work twice.

What about animated GIFs?

Animated GIFs sit between the two formats. They render inline like images and play motion like video, which is useful for short interaction loops such as hover states or one-second animations. But AI agents still treat GIFs as opaque visual data without temporal reasoning, so they're best for human readers, not for agent workflows.

Frequently asked questions

What is the difference between screen capture and screen recording?

Screen capture is a still image of part or all of a screen, saved as a PNG or JPG. Screen recording is a video of the screen over time, saved as MP4, WebM, or MOV. One is a frozen moment; the other is motion.

When should I use a screenshot instead of a video?

Use a screenshot when the problem exists in a single frame, when the artifact needs to be embedded in markdown or a ticket, or when the reader is an AI coding agent. Most product feedback fits this shape.

Can AI coding agents read screenshots?

Yes. Cursor, Claude Code, Windsurf, and most modern AI coding agents process images inline. They can see a screenshot referenced in a markdown document and reason about what's in it.

Can AI coding agents watch screen recordings?

No. Coding agents do not stream or transcode video. A Loom URL pasted into Cursor is just a link the model can't open. The video is unreadable as input until a human transcribes it.

What about animated GIFs?

Animated GIFs sit between the two formats. They render inline like images and play motion like video, which is useful for short interaction loops. But agents still treat GIFs as opaque, so they're best for human readers, not AI.