How to Use the Image Annotator on Pix-8

How to Use the Image Annotator on Pix-8

Clear visual communication often comes down to one question: *where exactly?* Whether you are marking a UI element in a screenshot, numbering steps in a tutorial, or flagging a defect in a QA capture, a precise callout beats a long explanation. The Image Annotator on Pix-8 is built for exactly that — placing clean, labeled tags directly on your image, entirely in the browser.

Why Local Processing Matters

Pix-8 processes every image on your device. Your file is never uploaded to a cloud server, which means screenshots of internal dashboards, client work, medical imagery, or unreleased product designs stay under your control.

Local processing also removes the latency of round-trip uploads. Annotation happens on a client-side canvas with immediate feedback as you click, label, and drag. There is no queue, no account gate, and no dependency on an external API. For teams that treat image data as sensitive, browser-native tooling is not a convenience — it is a requirement.

What the Image Annotator Is For

The tool is intentionally focused. Instead of a cluttered drawing canvas, it offers labeled pin markers with a restrained, high-contrast style that matches Pix-8's Industrial Matte aesthetic — precise, readable, and free of visual noise.

Common use cases include:

• Design and product feedback — Point reviewers to a specific button, spacing issue, or color mismatch with a short text label.
• Tutorials and documentation — Number steps or name interface regions on screenshots for guides, help articles, and onboarding flows.
• QA and bug reports — Attach clear, flattened annotations to issue trackers without exposing files to third-party editors.
• Client reviews — Mark revision requests on mockups or exports while keeping project assets local.

Tags combine text labels with positional markers, making them ideal for callouts that need both a location and a short note — the functional equivalent of an arrow-and-caption workflow, without the overhead of manual drawing.

Step-by-Step: Annotate an Image

1. Open the tool

Navigate to Image Annotator in Editor Studio. No installation is required.

2. Load your image

Drag and drop a file onto the upload zone, or use the file picker. The tool accepts standard image formats and is optimized for screenshots, feedback captures, tutorials, and QA imagery.

3. Place your first tag

Click anywhere on the preview canvas. A label field appears at that position. Enter a name or note — for example, "Submit button," "Step 2," or "Alignment off by 4px" — then confirm. An untitled default is applied if you leave the field blank.

4. Add more tags and reposition

Continue clicking to place additional markers. Drag any existing tag to fine-tune its position. On touch devices, a long press also opens the label input.

5. Manage tags in the Inspector

The Inspector panel lists every tag with its pixel coordinates. Select a tag to highlight it, edit its label inline, or delete it. This is especially useful when you have many callouts and need to adjust wording without hunting on the canvas.

6. Configure export options

Enable Strip Metadata if you want to remove EXIF and other embedded data before sharing — a sensible default for screenshots that may contain location or device information.

7. Flatten and export

When your annotations are complete, choose Flatten & Download to save a single image file with all tags rendered into the pixels, or Flatten & Copy to paste directly into Slack, email, or a ticket system. Export preserves your source dimensions.

Your session can also be saved locally through My Projects, so you can return to an in-progress annotation without re-uploading.

Built for Clarity, Not Clutter

The Image Annotator does not try to be a full illustration suite. It delivers one thing well: fast, private, labeled callouts that flatten into a shareable image in seconds. For teams that value privacy, speed, and a clean visual language, it is the right tool at the right level of restraint.

--- *Ready to annotate? Open the Image Annotator and place your first tag in seconds.*