Local AI Clipboard Actions
Summary
Local AI Clipboard Actions runs AI text operations directly on clipboard content through local models.
The tool intercepts clipboard text and applies transformations such as rewriting, summarization, or extraction using models stored on the user's machine. It addresses the workflow friction of copying content into separate AI interfaces while avoiding transmission of sensitive text to external servers. Its core distinction is the strict local-only execution path. Pricing is not publicly disclosed. The main limitation is dependence on the user's hardware to run capable models, which can introduce setup complexity and variable output quality compared to hosted services.
Bottom line: *Choose it for offline clipboard workflows; skip when hardware limits or setup time outweigh privacy needs.*
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Clipboard transforms usually mean context-switching: copy, open a tab, paste, wait, copy again. apfel-clip collapses that into a single global hotkey. Copy anything — a paragraph, a function, an error message, a JSON blob — press ⌘⇧V from whatever app is focused, pick an action from the popover, and the transformed result lands back in your clipboard. The vendor describes a ‘copy, transform, paste’ loop with no required setup beyond dragging the app to Applications.
The defining feature is full on-device execution. apfel-clip bundles the apfel AI engine, which runs on Apple Intelligence, meaning no API keys are configured, no requests leave the Mac, and no account is created. For teams handling sensitive source code, internal documentation, or regulated content, this is the architecture choice that makes clipboard AI acceptable where cloud-routed tools are not.
Content-aware action filtering sets it apart from generic paste utilities. The app detects the type of content in your clipboard and shows only the actions that apply — code gets ‘explain’, ‘find bugs’, and ‘add comments’; prose gets grammar, tone, and translation; errors get AI-suggested fixes. Custom actions let you turn any prompt into a named item that appears in the same list, and persistent local history means you can revisit or re-copy past transformations without rerunning the model.
The hard requirement is Apple Silicon running macOS 26 Tahoe with Apple Intelligence enabled in English. Intel Macs are excluded by architecture, not by a settings flag. The tool is MIT-licensed and installable via Homebrew, which handles updates cleanly. Build-from-source instructions are on GitHub for teams that need to audit or modify the code before deploying it.