It looks inside each file to see what it’s about, then suggest the right folder for you.

Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.

It works in 50 languages (including English, German, French, Spanish, Swedish) and with images (OCR and object recognition), PDFs, Microsoft Office, ePubs, text, Markdown, and many other file types.

For messy folders anywhere on the Mac, Floxtop can help.

It looks inside each file to see what it’s about, then suggest the right folder for you.

Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.

It works in 50 languages (including English, German, French, Spanish, Swedish) and with images (OCR and object recognition), PDFs, Microsoft Office, ePubs, text, Markdown, and many other file types.

Next, rename files based on their content (e.g. 123023dfawjher.pdf → finance_chart_fy26.pdf).

For messy folders anywhere on the Mac, Floxtop can help.

1. A short description of what kind of files belong there

2. A specific folder on your Mac as the destination

When you drop unsorted files into Floxtop, it looks inside each file, understands what it’s about, and compares it with your categories. Instead of picking a single place, Floxtop suggests the five most likely destinations, ordered by confidence.

Nothing happens automatically:

- Files are never moved on their own

- You review the suggestions and decide what gets moved

- If a file doesn’t clearly belong anywhere, it stays untouched

Floxtop helps you decide where things belong — the final action is always yours.

It looks inside each file to see what it’s about, then moves it to the right folder for you.

Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.

It works in 50 languages (including English, German, French, Spanish, Swedish) and with images (OCR and object recognition), PDFs, Microsoft Office, ePubs, text, Markdown, and many other file types.

For messy folders anywhere on the Mac, Floxtop can help.

I’m using SBERT-style embedding models for the semantic matching, which works very well in practice.

For non-text content, the app also analyzes images (OCR + object recognition) using Apple’s Vision framework. That part is surprisingly powerful, especially on Apple Silicon.

> I need to do something for images that are already classified/tagged via FastVLM

What’s the concrete use case you’re targeting with this?

Full-time: C++ work on nearby connectivity (bluetooth) for embedded / industrial devices (factory equipment). Deep stack, hardware constraints, long lifecycles, high reliability.

Non-web work feels very different: stronger constraints, slower but deliberate releases, and bugs are much more expensive. There’s a lot of interesting software being built far away from HTTP and browsers.

Floxtop suggests the top 5 destination folders where a file could best belong. You stay fully in control: you can choose one of the suggestions, move files individually or in bulk (Move All), or select a completely custom folder location at any time.

If you change your mind, you can Undo per file or use Undo All to revert the entire operation.

It looks inside each file to see what it’s about, then moves it to the right folder for you.

Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.

It works in 50 languages (including English, German, French, Spanish, Swedish) and with images (OCR and object recognition), PDFs, Microsoft Office, ePubs, text, Markdown, and many other file types.

If you have messy folders anywhere on your Mac, Floxtop can help.

A highly social, relatively hairless bipedal ape that was once a nomadic hunter-gatherer, but has adapted to create websites. :)

1. A Homebrew option isn’t available yet, but it’s something I’m open to exploring. Homebrew doesn’t currently support payments or license handling for paid apps, so Floxtop doesn’t fit perfectly into their workflow. For now, it’s available via direct download from the website.

2. Multi-language support. Yes — I’m actively working on this. Which languages would be most important for you? That helps me prioritize.

3. Moving files to mounted folders (e.g., Google Drive) Great suggestion. I’ll look into this, as supporting mounted cloud folders could be very helpful for many users.

Problem: My Downloads and Desktop folders would fill up with PDFs, screenshots, and random files, making cleanup and finding the right file frustrating and time-consuming. Solution: Floxtop uses Sentence Transformers (SBERT) to embed document text and metadata, plus OCR and object recognition to read images. It groups and classifies files by semantic similarity — all locally, so your sensitive files (finance, medical, personal, etc.) stay private.

Current version: Supports 30+ file types including images, Office documents (Word, Excel, PowerPoint), PDFs, EPUBs, Markdown, CSV, and more. Parsing and classifying 50 files takes around 17 seconds. It integrates with Finder (right-click > Organize with Floxtop), Quick Look + thumbnails, and includes keyboard shortcuts for a fast workflow. Currently, Intel Macs are not supported and it only works with English-language files.

I launched an early beta ~3 months ago, Fallinorg (https://news.ycombinator.com/item?id=44932375), and have since built out more features based on user feedback. I’d love your feedback on classification workflows, missing features, pricing, usability, and potential bulk operations or integrations. Happy to answer questions and share implementation details!

Free version here - requires macOS 15+ with Apple Silicon: https://github.com/taranntell/fallinorg/releases/download/1....

Demo video: https://floxtop.com/assets/demo.mp4

Comments URL: https://news.ycombinator.com/item?id=45944828

Points: 3

# Comments: 4

If you want to stay updated when these features are ready, feel free to subscribe to the newsletter.

Regarding privacy: everything runs locally on your Mac. No files or metadata are uploaded anywhere. The only network request is from Sparkle to check for updates. If you prefer, you can disable update checks and Floxtop will have zero network activity.

If you have questions or want to share feedback, you can reach me anytime at floxtop@proton.me.

It looks inside each file to see what it’s about, then moves it to the right folder with a single click. Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.

It already works with images, Office (Word, Excel, PowerPoint) PDFs, ePubs, text, Markdown, and many other file types (30+) in English. Next I’m adding multi-language support.

If you have messy folders anywhere on your Mac, Floxtop can help.

Try it for free - requires macOS 14+ with Apple Silicon: https://github.com/taranntell/fallinorg/releases/download/1....

Out of curiosity, is your preference for the App Store mainly convenience (updates, trust, purchasing), or something else?

If you’d like to be notified when this feature becomes available, you can subscribe to our newsletter — it’s linked in the footer of our website or by sending an email to floxtop at proton.me

Problem: My Downloads and Desktop folders would fill up with PDFs, screenshots, and random files, making cleanup and finding the right file frustrating and time-consuming.

Solution: Floxtop uses Sentence Transformers (SBERT) to embed document text and metadata, plus OCR to read images. It groups and classifies files by semantic similarity — all locally, so your sensitive files (finance, medical, personal, etc.) stay private.

Current version: Supports 30+ file types including images (with OCR), Office documents (Word, Excel, PowerPoint), PDFs, EPUBs, Markdown, CSV, and more. Parsing and classifying 50 files takes around 17 seconds. It integrates with Finder (right-click > Organize with Floxtop), Quick Look + thumbnails, and includes keyboard shortcuts for a fast workflow. Currently, Intel Macs are not supported and it only works with English-language files.

I launched an early beta ~3 months ago, Fallinorg (https://news.ycombinator.com/item?id=44932375), and have since built out more features based on user feedback.

I’d love your feedback on classification workflows, missing features, pricing, usability, and potential bulk operations or integrations.

Happy to answer questions and share implementation details!

Free version here - requires macOS 14+ with Apple Silicon: https://github.com/taranntell/fallinorg/releases/download/1....

Demo video: https://floxtop.com/assets/demo.mp4

Comments URL: https://news.ycombinator.com/item?id=45864947

Points: 4

# Comments: 3

Floxtop is a native macOS app that organizes your files automatically using an on-device AI model, with no data leaving your machine. It focuses on privacy, speed, and usability.

Background:

Manual file organization is tedious, and traditional tools rely on filenames or metadata, missing file meaning. Floxtop uses Sentence Transformers and computer vision including OCR and transformer-based embeddings to analyze content across PDFs, images, Office files, EPUBs, CSV, Markdown and more (30+ formats supported).

Key features:

- Entirely offline AI inference, optimized for Apple Silicon, ensuring privacy and near-instant processing.

- Multi-format content understanding via OCR and semantic embeddings to group files by meaning including images, Microsoft Office, PDFs, EPUBs, CSV, Markdown and more (+30 file types supported).

- Customizable classification: define categories to define file destinations.

- Native macOS integration with Finder extensions and Quick Look previews.

Performance:

Floxtop categorizes files in under a second. Built in Swift with ONNX, the app is compact (~120 MB) with a powerful 94 MB model.

I launched an early beta, Fallinorg (https://news.ycombinator.com/item?id=44932375), reaching 103 customers and gathering valuable feedback. Floxtop is the improved iteration with broader format support, compact binary size, and better integration.

Try the free version: https://pub-a80e0e01ccee4148a4f4c43d8d4eeda2.r2.dev/Floxtop-...

I’d appreciate feedback on accuracy, performance, and feature ideas.

Thanks for checking it out!

Comments URL: https://news.ycombinator.com/item?id=45836734

Points: 3

# Comments: 0