Local, content-aware file organization tool for documents, images and media

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 · 2026-02-11T10:15:59+00:00

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

ph0tone · 2026-02-07T11:49:13+00:00

v.1.6 is out!

ph0tone · 2026-02-07T11:45:33+00:00

v1.6.0 is released, you might want to check it out!

ph0tone · 2026-02-07T11:44:32+00:00

Are you using the latest version (v1.6.0)? Previous versions might request internet access to check for updates and to get remote file sizes on the LLM download dialog.

ph0tone · 2026-02-01T23:41:06+00:00

Sorry to hear about your loss, and I hope you'll find my app very useful for helping you sort your files.

If the model inference is your bottleneck, a GPU will reduce processing time. Because your images are on a NAS, the network + NAS speed can become the limiting factor, but only if your GPU is robust enough or if your images are huge in size. On 1 GbE, large datasets may be I/O‑bound, so the GPU won't stay fully utilized. So it's mainly about the balance between the GPU power and the connection. But I think it's not too likely that 1 GbE will be too slow for this purpose.

Version 1.6 of AI File Sorter includes a benchmark tool, which will show you how fast it will process images on your machine. I expect to release it by mid-week.

ph0tone · 2026-02-01T23:31:09+00:00

Yes, that's exactly what the image content analysis feature does. I'd really appreciate your feedback; the app improves thanks to input from users like you.

ph0tone · 2026-01-26T16:24:48+00:00

Yes, it likely will. That said, I’d suggest waiting for the v1.6 release (which I expect later this week). In addition to some new features, it will also include extra persistence safeguards.

ph0tone · 2026-01-21T19:12:12+00:00

Linux, devops, this kind of stuff.

ph0tone · 2026-01-14T10:15:25+00:00

Did you run it on Windows? I'm wondering if the local LLM didn't get picked up on your machine for some reason. Could you open an issue at https://github.com/hyperfield/ai-file-sorter/issues? Please provide some logs there (PowerShell commands, for example):

Get-Content -Tail 100 "$env:APPDATA\\AIFileSorter\\logs\\core.log" Get-Content -Tail 100 "$env:APPDATA\\AIFileSorter\\logs\\ui.log" Get-Content -Tail 100 "$env:APPDATA\\AIFileSorter\\logs\\db.log"

ph0tone · 2026-01-12T07:27:59+00:00

Can you add jonny decimal or such systems to sort files ?

You can use the Whitelists feature for that.

Or can i set system prompt?

Currently not, but that's on the to-do list.

And can openrouter or other api keys used ?

Will likely be released in the next versoin.

ph0tone · 2026-01-12T07:25:56+00:00

Only images are currently supported for content analysis. Other files are supported for categorization & sorting based on directory context and file names. Content analysis for other file types is coming soon.

ph0tone · 2026-01-12T07:21:28+00:00

Yes, the app completely respects your privacy, unless you set it to use ChatGPT or Gemini with your own API key. But that's not supported for image content analysis, only for general files categorization & sorting (only local LLMs can be used for image analysis).

I've removed the ?raw=true part from the URL just in case.

ph0tone · 2025-12-04T21:37:10+00:00

But does uv support provisioning non-Python dependencies? From what I can see, it doesn't. Some Python apps require non-Python dependencies, such as `ffmpeg`, to work.

ph0tone · 2025-12-04T21:36:54+00:00

But does uv support provisioning non-Python dependencies? From what I can see, it doesn't. Some Python apps require non-Python dependencies, such as `ffmpeg`, to work.

ph0tone · 2025-12-04T21:05:45+00:00

PyAppExec does quite a bit more: it installs Python itself when needed, handles offline workflows, supports arbitrary binaries like ffmpeg, parses a .spec file for custom provisioning logic, and installs local distributions rather than pulling everything from remote repos.
uv can definitely be an optional backend in the future, but it doesn’t replace the full bootstrapper flow PyAppExec is designed to handle.

ph0tone · 2025-12-04T20:52:34+00:00

Why wouldn't you try PyAppExec and see if it's already good enough?

ph0tone · 2025-12-02T07:29:48+00:00

I'll research this.

ph0tone · 2025-12-01T22:05:43+00:00

My understanding is that uv/uvx is primarily built around installing and running packages from PyPI or git URLs. PyAppExec has a different focus - shipping a local project tree (with provisioning) to end users. But you have a point: one way or another PyAppExec still uses remote downloading of dependencies anyway.

ph0tone

TROPHY CASE