Processing model

Know where your PDF is processed before you start.

DocuStitch labels the processing route before you select a file. For supported tools, the browser handles the document work in the current session instead of sending every file to a remote processing queue.

No upload queueBrowser tab runtimeVisible limits

Route inspection

Before a file moves, the route should be obvious.

DocuStitch separates browser-side tools from workflows that would require server infrastructure. Core tools are designed around file-picker access, in-tab processing, and local downloads.

Try the merge route

Local input

Files are read by the browser from your device.

Tab runtime

Supported operations execute in the current session.

No queue

No upload pipeline is used for core local tools.

Local output

The result is exported as a browser download.

File accessBrowser file picker creates a local handle.
ExecutionSupported operations run in the active tab.
NetworkNo remote upload route for core local tools.
ExportThe browser writes a new downloadable file.
01

Local Referencing

When you select files, the browser gives the page temporary access to those files for the current session.

02

Browser Runtime

Supported operations use browser-side libraries and WebAssembly where appropriate, so routine PDF work can run without a remote queue.

03

Browser Sandbox

The workflow stays inside normal browser security boundaries. Files are not available to the page unless you choose them.

04

Local Download

The output is prepared in the browser and offered as a download. Large or complex files can still take time on slower devices.

Cloud vs. Local

VectorCloud toolsDocuStitch
Document routeUpload to processing queue
Browser session for supported tools
Latency sourceUpload, queue, download
Local CPU and browser memory
Privacy basisRetention policy and vendor trust
Reduced document transfer
User checkHard to verify after upload
Inspect network activity during processing

The result

The product should make document handling understandable. When a workflow stays local, we say so. When a workflow needs different infrastructure, it should be labeled separately.