Design system documentation is full of images that are easy to create once and surprisingly hard to maintain. A component anatomy diagram gets exported at a random scale. A usage example looks sharp on a designer’s screen but soft in the documentation site. A dark-mode screenshot is replaced while the light-mode version stays stale. Six months later, nobody knows which Figma frame produced which file.
TinyImage can compress and export JPG, PNG, SVG, WebP, and AVIF assets directly from Figma, including batches with file and folder naming. The important part is to use those export tools inside a documentation system, not as a last-minute compression step.
Classify the image before choosing a format
Start with what the image is doing for the reader.
- Component screenshots show a rendered interface and often need PNG or WebP.
- Anatomy diagrams combine labels, lines, and simple shapes that may suit SVG.
- Photographic examples usually compress better as JPG, WebP, or AVIF.
- Motion examples need a deliberately short video or animation, plus a static fallback.
- Social preview images belong to the publishing workflow, not the article body asset set.
Do not make one format a universal rule. A lossless PNG can preserve small interface text but waste hundreds of kilobytes on a photographic example. An SVG is excellent for a controlled diagram but a poor choice when it contains unsupported effects or unexpectedly exposed text.
The broader Figma export format workflow helps with format decisions across many deliverables. Documentation adds versioning, accessibility, and long-term ownership requirements.
Define the documentation slot first
Export against the real slot where the image will appear. Record the rendered width, maximum height, background color, light and dark treatment, and whether the documentation platform creates responsive derivatives.
For example, a component image displayed at 720 pixels wide does not need to begin as a 3000-pixel raster unless the site genuinely serves a high-density version. Oversized exports create slower pages and make reviewers think compression quality is the problem when the real problem is missing size rules.
Build named Figma frames for common slots such as:
- inline component example
- full-width anatomy diagram
- do and don’t comparison
- mobile behavior example
- thumbnail card
Keep padding and background treatment in those frames. The exported boundary should be intentional rather than whatever happened to be selected.
Make screenshots teach one thing
A documentation image should answer a question faster than the prose around it. Crop out browser chrome, unrelated navigation, fake notifications, and other details that compete with the lesson. Use realistic content, but remove customer data, secret project names, and personal account details.
For component states, show enough surrounding UI to establish context. A tooltip floating on an empty canvas is hard to understand; a tooltip attached to its trigger is useful. A validation message needs the field label and entered value, not the entire checkout page.
Avoid baking long explanations into the bitmap. Text inside an image cannot adapt to zoom, translation, themes, or assistive technology. Use concise callouts in a diagram and put the real explanation in HTML.
Establish a predictable asset contract
Use names that connect the file to its documentation page and state. A practical pattern might be:
component-state-theme-width.format
Examples:
date-picker-range-error-light-720.webpbutton-anatomy-default.svgnavigation-mobile-expanded-dark-390.png
Match the repository’s actual naming rules rather than inventing a parallel convention. If the docs support folders, separate assets by component or guide. TinyImage’s dynamic naming and folder export can reduce repetitive renaming, but the team still needs to decide the contract.
Keep a small manifest beside the source frames with the destination page, owner, last reviewed date, themes, and required variants. That makes missing dark-mode or mobile examples visible before publishing.
Compress with a readability threshold
File size is not the only quality target. Small labels, thin icons, gradients, and subtle borders can fail before a screenshot looks obviously damaged.
Export a representative batch and review it at the actual rendered size. Check:
- small text and numeric values
- one-pixel dividers and focus rings
- color contrast in both themes
- gradients and transparent shadows
- fine icon strokes
- sharpness on high-density displays
Set a file-size budget by slot, then use TinyImage to approach that target without blindly applying one quality percentage to every asset. If an image cannot meet the budget legibly, simplify the crop, reduce unnecessary detail, or choose a more appropriate format.
Review the published page, not only the files
The browser is the final environment. Confirm that the documentation system did not recompress the image badly, serve an oversized source, apply unexpected CSS scaling, or omit intrinsic dimensions. Test narrow screens, dark mode, zoom, and slow loading.
Write useful alternative text for images that add information. Decorative images should not repeat the adjacent heading. For diagrams with essential relationships, explain those relationships in nearby text rather than expecting alt text to carry an entire visual model.
The CMS image publishing workflow covers broader editorial delivery. A design system needs the additional promise that an asset can be traced, regenerated, and reviewed when the component changes.
Before merging documentation, verify that every asset has a known source frame, deliberate format, predictable name, reasonable byte size, readable rendered result, privacy review, and an owner for future updates. TinyImage speeds up the export and compression work; the durable win comes from treating documentation images as maintained product assets rather than disposable screenshots.
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