Purifai

Product Introduction

1. Definition: Purifai is a lightweight (11MB) native macOS utility application designed for intelligent text-formatting cleanup. It functions as a clipboard intermediary that sanitizes copied text from AI tools (e.g., ChatGPT), websites, or documents by removing incompatible styling while preserving semantic structure like paragraphs, lists, and spacing.
2. Core Value Proposition: Purifai solves inconsistent cross-application text pasting by dynamically adapting formatting to the destination app’s capabilities (e.g., Mail, Slack, Word), eliminating manual reformatting while retaining critical structure lost in "paste as plain text" workflows.

Main Features

1. Destination-Aware Formatting Engine: Purifai analyzes the target application’s supported styles (e.g., Slack’s Markdown vs. Word’s rich text) via a built-in compatibility matrix. It strips unsupported CSS/HTML attributes (fonts, colors) but retains structural elements like <ul>, <ol>, <blockquote>, and <p> tags using a lightweight WebKit-based parser.
2. Offline Processing Architecture: All operations execute locally on-device via macOS native frameworks (AppKit, Core Data). Zero data is transmitted externally, ensuring GDPR/CCPA compliance and eliminating cloud dependencies. Installation requires 11MB disk space and runs on Apple Silicon (M1/M2/M3) with Rosetta 2 fallback for Intel Macs.
3. Structural Integrity Preservation: Unlike basic plain-text pasting, Purifai maintains:
   • List hierarchies (numbered/bulleted)
   • Paragraph breaks and line spacing
   • Blockquotes and horizontal rules
   • Semantic emphasis (bold/italic) where supported by the destination app.
4. One-Click Purification Workflow: Operates via a system-wide pasteboard watcher. Users copy text → paste into Purifai → receive cleaned text in clipboard → paste into target app. No accounts, subscriptions, or UI complexity.

Problems Solved

1. Pain Point: AI-generated or web-copied text pastes with disruptive formatting (e.g., mismatched fonts in Mail, broken lists in Slack). "Paste without formatting" nukes all structure, forcing time-consuming manual reconstruction.
2. Target Audience:
   • Content creators pasting AI drafts into CMS/email
   • Developers documenting code in Notion/Slack
   • Executives sharing reports via Teams/Word
   • Designers transferring text between Figma/Docs
3. Use Cases:
   • Pasting ChatGPT responses into Gmail without font/style artifacts
   • Transferring web research to Notion with intact bullet points
   • Sharing Jira ticket summaries in Slack without broken indentation

Unique Advantages

1. Differentiation vs. Competitors: Unlike browser-based formatters (Pastebin, TextFixer) requiring online access, Purifai operates offline with lower latency. Versus clipboard managers (Paste, CopyClip), it specializes in context-aware sanitization—not just history storage.
2. Key Innovation: Proprietary "destination profiling" technology that maps app-specific style allowances (e.g., Mail’s limited CSS support) to automate optimal cleanup. This replaces heuristic guesswork with deterministic output tuning.

Frequently Asked Questions (FAQ)

1. Does Purifai work offline?
   Yes, Purifai processes text entirely on your Mac. No internet connection or cloud servers are used, ensuring data privacy and instant results.
2. Which apps does Purifai support?
   Purifai optimizes text for Mail, Slack, Notion, Google Docs, Microsoft Word, Teams, and most rich-text editors. Its compatibility matrix covers 50+ common apps.
3. How does Purifai preserve lists when cleaning text?
   Purifai’s parser detects HTML/Markdown list syntax (<li>, - , * ) and converts it to destination-friendly formats (e.g., Slack’s Markdown, Word’s native lists), avoiding manual reconstruction.
4. Is Purifai a subscription service?
   No, Purifai is a one-time purchase with no recurring fees. Updates are included for the current macOS version.
5. Does Purifai handle non-English text?
   Yes, it supports Unicode/UTF-8 encoding for all languages and preserves diacritics, CJK characters, and RTL scripts (e.g., Arabic, Hebrew) during cleanup.