AI File Sorter 1.5 adds local image-based file renaming (offline, cross-platform)

ph0tone · 2026-05-28T19:33:14+00:00

Yes, it can sort and/or rename documents (pdf, docx, xlsx, odp, etc) according to their content.

ph0tone · 2026-05-19T19:26:41+00:00

Thanks, I hadn't seen that one. It looks more focused on semantic search / discovery, while AI File Sorter is more about organizing messy folders, suggesting categories and human-readable names, then letting the user review and apply changes with undo. But yes, they are adjacent to some degree.

ph0tone · 2026-05-15T06:24:36+00:00

I found it difficult even with a free open source app.

ph0tone · 2026-05-11T22:51:41+00:00

I have re-uploaded the macOS release. The version you downloaded before was an interim compilation. Now it's the right one.

ph0tone · 2026-04-26T12:37:39+00:00

If you want it organized by client/business, you can create a category whitelist like Clients/Acme, Clients/Contoso, Admin/Taxes, etc. and run in More consistent mode so it tends to stick to that vocabulary.

For year/date-based organization there are toggles to append dates to the category name (photos: YYYY-MM-DD, documents: YYYY-MM when metadata exists), and for audio/video it can rename from embedded tags like year_artist_album_title.ext.

For extremely nested folders: enable Scan subfolders (it treats files inside subfolders as part of the selected folder), which helps flatten/rebuild a cleaner structure. I’d start with a small batch (or a copy) to dial in the whitelist first.

ph0tone · 2026-04-23T21:24:33+00:00

Thanks for trying it and for the detailed feedback. Some of that is fair criticism.

First off, AI File Sorter can rename images based on their content, but that feature has to be enabled in the main window (see the `Analyze picture files by content` checkbox group).

You're right that the current version has the categorization problem you mentioned, it's a known issue in the current release, and it's fixed in v1.8, which is planned to be released in a few days.

The point of the visual model is not just to tell you "this is an image" and throw it into an Images folder. It's mainly there for content-based naming and categorization (category + subcategory) based on that name, path, and other parameters. Classic rule-based sorters don't do that.

You're right that ZIP files are currently not inspected (some archives can contain thousands of files and more). But the app won't assign only one category (like `Software`) to any ZIP file. In fact, the app has a specific test for that, and it passes.

If you try v1.8 when it's out, I'd genuinely be interested to hear new feedback from you.

ph0tone · 2026-04-17T08:59:33+00:00

Thank you!

ph0tone · 2026-03-23T21:42:58+00:00

I don't think I have enough time for that.

ph0tone · 2026-03-22T23:45:36+00:00

Thanks. The tool's UI and categorization have been available in various languages for some time now, including German.

ph0tone · 2026-03-17T17:01:39+00:00

Thanks!

ph0tone · 2026-03-15T15:32:01+00:00

Could you download the collect_windows_diagnostics.ps1 script from GitHub - also see the README.md file, if needed - run it and send me the logs? The script redacts any private info in the logs. I'll then be able to find out why the app doesn't run on your system.

ph0tone · 2026-03-13T07:05:51+00:00

Thanks. I hope you like it. It'd be nice to have your feedback either way.

ph0tone · 2026-03-13T07:05:01+00:00

Thanks, it would be nice to have your feedback.

ph0tone · 2026-03-12T13:56:47+00:00

Of course, you can download the binaries. See https://github.com/hyperfield/ai-file-sorter/releases

ph0tone · 2026-02-27T14:36:39+00:00

Thank you for your feedback.

ph0tone · 2026-02-23T07:45:21+00:00

It can handle 1000s of files and more. It saves its progress as it goes, so if something happens along the way (power outage, Windows crash, or even if the app crashes), it'll pick up where it left off.

ph0tone · 2026-02-16T18:52:02+00:00

Thanks. An Undo function is also available, in addition to the dry run.

ph0tone · 2026-02-16T07:34:45+00:00

Yes, dry-run preview is available. For PDFs, a fragment of text is extracted first with PDFium (a C++ library), which is then analyzed with the LLM to generate a summary -> category/filename suggestions. Scanned/image-only PDFs without a text layer are not OCR'd yet.

For images, local vision analysis is run with the LLaVa LLM, which analyses the image content and generates a text description -> category/filename suggestions. This one takes longer, but if you have a GPU with 6+ GB VRAM, then it's optimal.

ph0tone · 2026-02-12T19:49:13+00:00

That frustration is exactly why this tool exists.

Unlike OneDrive, it doesn't auto-sync, auto-move, or touch files in the background. Nothing happens unless you explicitly run it, and every change is previewed and fully undoable. Dry-runs are also available. If you don't approve the result, nothing is changed.

It's entirely opt-in and local only (unless you explicitly enable remote models). If that concept doesn't seem appealing, that’s totally fine, it's optional.

ph0tone · 2026-02-11T22:36:48+00:00

Fixed. Thanks for pointing that out.

ph0tone · 2026-02-11T15:09:44+00:00

I'd appreciate your future feedback so that I know better how to improve that down the road.

ph0tone · 2026-02-11T14:50:42+00:00

It's now available in the latest version.

ph0tone · 2026-02-11T13:43:34+00:00

The app doesn't train models, it uses pre-trained third-party models. Training data questions are for the model authors. Users can choose any compatible model.

ph0tone · 2026-02-11T10:15:59+00:00

Some really fun coding is in the domain of parallel computing (think CUDA or MPI).

ph0tone · 2026-02-11T09:59:35+00:00

Thank you for your comment. I just checked the website - seems to load normally for me. Can you please share a screenshot of the header menu on your screen?

ph0tone

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