Scraib.app - correct text's grammar, tone, and style in every app on your Mac

What

Scraib.app is a Mac writing assistant that rewrites selected text to improve grammar, tone, and style across apps. Its core workflow is simple: select text in a Mac app, press Control + R, and receive a revised version without switching to a separate website or chat interface.

The product appears suited to professionals and everyday Mac users who write frequently in tools such as Slack, VS Code, and Figma, especially people who want faster editing with consistent style rules. Based on the page, Scraib is positioned as a lightweight, privacy-conscious utility rather than a full document editor.

Features

• System-wide text rewriting on Mac — rewrites selected text inside apps on macOS, which helps users edit in place without interrupting their workflow.
• Keyboard shortcut workflow — using Control + R reduces the friction of copying text into external AI tools and pasting it back.
• Custom tone and style rules — lets users define writing preferences once and apply them broadly, with the option to customize behavior per app.
• Works across multiple Mac apps — the page specifically mentions environments like VS Code, Figma, and Slack, indicating support for cross-app writing improvement.
• Bring-your-own-AI-provider support — users can connect their own API keys with providers including ChatGPT, Claude, Gemini, Grok, Ollama, LiteLLM, and OpenRouter.
• Privacy-oriented deployment options — users can choose their own AI provider or run locally with Ollama, which the page presents as a way to keep data under their control.

Helpful Tips

• Check where text is most frequently edited — this type of tool is most useful for teams or individuals who spend significant time writing short-form text across chat, product, and development apps.
• Define tone rules before broad rollout — setting clear style instructions early can improve consistency, especially for customer-facing communication and cross-functional collaboration.
• Validate local vs hosted AI trade-offs — if privacy is a priority, local inference with Ollama may be attractive, but actual writing quality, latency, and setup effort should be tested for the intended use case.
• Review app-specific behavior — since the value depends on in-app rewriting, buyers should confirm how reliably keyboard-triggered text replacement works in their core Mac applications.
• Estimate total cost carefully — the page distinguishes between a subscription option and a one-time unlock for using personal API keys, so the long-term cost will depend on AI provider usage.

OpenClaw Skills

Scraib could likely fit well into the OpenClaw ecosystem as a writing-quality layer inside broader communication and productivity workflows. Likely use cases include OpenClaw skills that standardize internal messaging, rewrite outbound support responses, refine product notes, or adapt text for different audiences while preserving a team’s preferred tone rules.

In a more advanced setup, OpenClaw agents could use Scraib-style rewriting as one step in a multi-stage workflow: drafting content, applying role-specific tone guidance, then routing the result into workplace tools on macOS. This is a likely orchestration pattern rather than a confirmed native integration, but it could be especially useful for support, sales, recruiting, founders, and product teams that need fast, consistent writing across many apps.