Download AI File Sorter 1.9.0

Why Choose AI File Sorter?

• local visual image analysis for picture files, with Gemma 3 4B IT as the default backend

  The app can use local visual models to understand images, handle screenshots and UI captures more intelligently, and suggest useful categories or filenames without uploading pictures.

• Smarter category whitelists with category-specific subcategories

  Create focused category lists where each main folder can have its own allowed subfolders, so a Documents cleanup and an Images cleanup do not have to share the same subcategory rules.

• File previews in the review window

  Preview files while checking suggested categories and names, making it easier to approve the right changes without jumping back and forth between windows.

• Project-folder protection for safer recursive scans

  When scanning subfolders, AI File Sorter avoids reorganizing recognized Unity, Unreal, Godot, Blender, Git, and common source-code project folders where moving files could break a project.

• Document content analysis for PDFs, Office files, and common text formats

  Instead of relying only on filenames, AI File Sorter can read supported documents to make better sorting and naming suggestions.

• Local learning from approved reviews plus cache and reset tools

  Approved category decisions can be reused as local hints in future runs, and Settings includes tools to clear caches or reset learned behavior when you want a clean slate.

• Rename-only flows with suggested filenames and clear Renamed / Renamed & Moved status labels

  Use rename-only mode when you want clearer filenames without moving files, with review labels that show exactly what changed.

• Optional metadata-based filename suggestions for supported audio and video files

  For media files, available metadata can help create more meaningful filenames before you approve the changes.

• Picture-only or document-only processing toggles to focus runs

  Limit a run to pictures or documents when you want faster, more targeted cleanup for a specific file type.

• Optional image creation-date suffixes for time-aware categories

  When image dates are available, categories can include date context so photo folders are easier to scan later.

• System compatibility check that helps pick the best LLM for your hardware

  The app checks your machine and suggests model choices that fit your available hardware instead of leaving you to guess.

• Custom API endpoints in the LLM selector for local servers or self-hosted gateways

  Point the app at your own compatible endpoint when you run models locally or through a private gateway.

• Progress is saved as you go so long runs are resilient to interruptions

  Long sorting jobs save progress during processing, reducing the risk of losing work if something interrupts the run.

• Preview-only dry run with a From/To table so nothing moves until you say so

  Review the proposed source and destination paths first, then decide whether to apply the moves.

• Persistent Undo: revert the latest sort even after closing, thanks to saved plan files

  Undo information is saved to disk, so you can revert the last applied sort even after closing the app.

• Bring your own OpenAI or Gemini API key for remote LLMs; pick any ChatGPT or Gemini model

  Use cloud models only with your own keys, giving you control over provider, model choice, and account usage.

• Add custom local text and visual models, and choose where model files are stored

  Download supported local models quickly, reuse Gemma 3 4B IT for both text and visual workflows when applicable, add your own local model files, and keep model downloads in the storage location you prefer.

• Switch between More Refined and More Consistent categorization modes

  Choose More Refined when you want more specific top-level folders, or More Consistent when you want similar files to stay under steadier broad categories.

• Use model-aware category languages and sort review items by file names, categories, or subcategories

  Use category-language options that depend on the selected local model, and organize the review table in the order that makes checking easiest.

• Better accessibility and clearer progress updates

  Improved labels and progress announcements make the app easier to follow with screen readers and during longer analysis runs.

• More interface languages plus localized Quick Start help and an in-app FAQ link

  Use localized interface text and get guided help faster with built-in Quick Start and FAQ entry points across the expanded language set.

• GPU acceleration via CUDA, Vulkan, and Metal with smarter backend selection

  Compatible NVIDIA, AMD, Intel, and Apple hardware can speed up local model processing, and recent releases improve backend choice and startup reliability.

• Secure and private: your data stays on your machine

  Local processing keeps files and model analysis on your computer unless you explicitly choose a remote provider.

• Cross-platform and open source: available for Windows, macOS, and Linux (see GitHub)

  The app is available across major desktop platforms, and the source code can be inspected or contributed to on GitHub.

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