Why "Export All" from Figma breaks on large files

what "export all" actually does under the hood

When you trigger Export All in Figma, the plugin runtime queues every layer marked for export simultaneously. Figma processes these in the browser, not on a server — your local machine is doing all the rendering. For a file with 20 assets, that's manageable. For a file with 400 icons, 60 illustration variants, and multi-scale exports at 1x, 2x, and 3x, you're asking the browser to render and package upward of 1,200 individual files in a single pass.

Figma doesn't throttle or batch this automatically. It attempts everything at once. That's the core of the problem.

why large files cause Figma to stall or crash during export

Browser-based tools run inside a memory sandbox. Figma is no different. When Export All queues hundreds of assets, memory consumption spikes sharply — each asset must be rasterised, encoded, and held in memory until the ZIP is assembled. On files with complex vector layers, gradients, or high-resolution frames, each render operation is expensive.

The result is one of three failure modes:

• The export hangs. Figma appears to be working but the progress indicator stops moving. Waiting longer rarely helps.
• The browser tab crashes. Memory limit is hit, the tab reloads, and the export is lost entirely.
• The ZIP arrives corrupted or incomplete. Some assets render, others don't. There's no error message — you only discover missing files after unzipping.

Machine specs matter here, but only partially. Even on a 32GB MacBook Pro, a Figma file with 600-plus export-marked layers will push browser memory into uncomfortable territory. This isn't a hardware problem you can spec your way out of.

the hidden cost after the export completes

Assume Export All works — no crash, no hang. You now have a ZIP in your Downloads folder containing hundreds of files in a flat structure. Every asset Figma exports lands at the root level unless you've manually organised your file's layer hierarchy to mirror your intended folder structure, which almost no one does.

From here, the real work begins: unzip, sort by type or destination, rename assets that exported with Figma's default naming convention, delete duplicates from previous exports, then upload to Google Drive. On a 400-asset export, that sorting and renaming step alone can take 20–30 minutes. The export was "one click" — everything after it wasn't.

This is the part the Export All button doesn't show you. The Figma export loop is a slow, repetitive tax on the entire team, and large files make it dramatically worse.

why the ZIP structure makes Google Drive uploads painful

Google Drive's web uploader can accept a folder, but it doesn't accept a ZIP. You unzip locally first, which means hundreds of files now exist in your Downloads folder. Dragging them to Drive individually is impractical. Dragging the unzipped folder works, but Drive re-creates the flat structure — every file in one directory, regardless of what you intended.

If you need assets in separate Drive folders — icons in one, illustrations in another, handoff exports in a third — you're moving files manually inside Drive after upload. That's a third distinct task, after exporting and uploading. For agencies delivering assets to clients, this compounds across every project.

The folder structure you maintain in Google Drive becomes difficult to preserve when the export mechanism doesn't respect it.

how controlled batch exports solve the scale problem

The fix isn't a faster machine or a better internet connection. It's reducing the size of each export operation so the browser never hits its ceiling.

Exporting in controlled batches — by frame, by section, or by asset type — keeps each operation within manageable memory bounds. Figma processes 30 assets reliably. It struggles with 300. Batching by logical group also means each export maps directly to its destination folder, eliminating the post-export sorting step entirely.

This is precisely why selecting specific layers before exporting — rather than triggering Export All — produces faster, more predictable results. Exporting selected Figma layers to Google Drive gives you control over scope, destination, and naming in a way Export All never can.

Renaming assets before they leave Figma also eliminates the post-export rename cycle. Batch renaming assets before export takes seconds inside the right tool and saves significant time once files reach their destination.

when "export all" is actually fine

Export All isn't broken for every use case. It works reliably when:

• The file has fewer than 50–60 export-marked layers
• All assets are destined for the same folder
• No post-export renaming is required
• You're exporting at a single scale, not 1x/2x/3x simultaneously

For small, self-contained files, it's the fastest path. The problems begin when you apply a small-file workflow to large-file realities — and most production Figma files are large.

what a better export workflow looks like at scale

A scalable export workflow has three properties: it operates on a defined subset of assets at a time, it writes directly to the destination without a local intermediary, and it preserves naming and folder structure without manual intervention.

That means selecting the assets you need, exporting them directly to the correct Google Drive folder, with names already set — no ZIP, no Downloads detour, no Drive reorganisation afterward. Exporting from Figma to Google Drive in one step is possible today. The technical architecture for it exists. What it requires is a plugin that handles the Drive authentication, folder targeting, and file transfer that Figma's native export deliberately doesn't touch.

ExportHub does exactly that — select assets, choose a Drive folder, export. No local file, no ZIP, no cleanup. Exporting to Google Drive without downloading locally removes every failure point that makes Export All painful on large files. Get the free plugin and skip the loop entirely.