FileNeatAI
FileNeatAI is an AI file organizer and renamer for Windows, Mac and Linux that reads files and sorts them into folders or renames them based on their content, with custom prompts and online or local model options.
About FileNeatAI
FileNeatAI
FileNeatAI uses AI to classify and organize files into folders based on their content, and to rename garbled files based on their content. Users drag and drop folders or files, choose an organization or naming mode, and input prompts to refine results, repeating as needed. It supports online models, local model deployment, and third-party platform APIs, and the page states that local deployment involves no data transmission. It supports organization of various document and image types. Versions 3 (recommended, version 3.0.38) and 2 (version 2.4.7) are offered for Windows, macOS (Intel and ARM), and Ubuntu Linux. A Free version gives new users 100 usage times without local model deployment, while a Paid version unlocks more online model usage, permanent local model deployment, enhanced file management, priority network speed, and one-to-one professional service support.
Key features
- AI-based file organization into folders by content
- AI-based renaming of garbled files by content
- Custom prompt organization
- Drag-and-drop operation
- Support for online models, local models, and third-party API access
- Offline cleanup with local models
- Support for various document and image types
- Windows, macOS (Intel and ARM), and Ubuntu Linux downloads
- Free and Paid versions
Best suited for
- Users with cluttered folders who need files sorted by content
- Users who need to rename large numbers of garbled files
- Users who want privacy-focused offline or local model processing
Pricing
Free version with 100 free usage times for new users (no local model deployment); Paid version offers unlocked online model usage, permanent local model deployment, enhanced file management, priority network speed, and one-to-one professional service support. Specific paid prices are not stated on the page.
Discussion
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