Sparkle vs Sortio: Which AI File Organizer for Mac?

Sparkle is subscription-only. Per Every Inc.'s public pricing, the entry tier is around $9.25/month when billed annually. There is a free trial but no permanent free tier.

Sortio has a real free tier: 10 AI credits per month, rule-based sorting up to five rules, and 50 files per sort. Pro is $14.99/month or $99/year. The annual plan saves around 45 percent and is the most common Sortio purchase.

Long term, Sortio Pro annual works out cheaper than Sparkle for users who plan to keep the subscription. Both tools have a sub-$15/month entry, so the decision is rarely about price; it is about what the tool actually does.

This is the load-bearing difference. Sortio reads file content. When you point it at a folder of PDFs, it opens each PDF, extracts the text, and uses that text to decide where the file goes. For Word, Excel, PowerPoint, plain text, and Markdown the model reads the actual content. For images, Sortio extracts text via OCR. The routing decision is made by a language model that understands what the document is, not by pattern-matching on the filename.

Sparkle, per the most widely cited third-party review (Renee De Four, 21-day Sparkle review on Medium), works primarily off filename and extension. That is a fast and cheap way to do AI categorization, and it works well for files with reasonable names. It does not help with the long tail: bank statements named statement-2025.pdf, screenshots named Screen Shot 2026-01-09 at 2.30 PM.png, or research PDFs named after arXiv IDs.

For users coming from Hazel, the file-reading distinction matters. The reason Hazel users get frustrated with content matching is that real-world OCR is inconsistent and regex on noisy text fails unpredictably. Sortio is built around that problem; Sparkle is built around a different one (tidiness). If your folder is full of files with helpful filenames, the difference is hard to see. If your folder is full of files named statement.pdf, scan001.pdf, or IMG_4827.jpg, the difference is the entire point.

A practical example: a folder of 60 mixed receipts from the last quarter. Filenames are some combination of vendor downloads (uber-receipt-march.pdf), scanner outputs (scan001.pdf), and email-saved files (IMG_4827.pdf). Sparkle groups by extension and gets the rough cut right. Sortio reads each receipt, recognizes the vendor, and groups by vendor for Schedule C: Uber rides together, parking together, meals together, software together. That is the difference between "tidy" and "filed."

Sortio supports local-only processing via Ollama. Files never leave the machine. Llama 3 and Mistral run on your Mac, the routing decision is made on your hardware, and the only thing that crosses the network is a Sortio licence check. The trade-off is that local LLMs are slower and slightly less accurate than the managed cloud option, but for sensitive files (legal, medical, financial) the local option is the right pick. For users with a homelab setup or a beefy Mac, the speed gap is smaller than it sounds.

Sparkle requires an internet connection. The AI runs in the cloud, which means file metadata and (per their own privacy documentation) filenames are sent off the machine. If your IT policy or personal preference is "nothing leaves my disk," Sortio is the only option here. For users with a relaxed posture on cloud AI for personal files, this is not a deal-breaker.

A subtle related point: Sortio supports BYOK (bring your own key) for managed AI, so users who prefer a specific provider (OpenAI, Anthropic, a self-hosted endpoint) can route inference through their own account. Sparkle is closed: you use the provider Sparkle uses, and that is the entire menu.

Sortio has two layers. AI Sort takes a per-run prompt: "sort these by client, then by document type." AI Rule Builder converts a plain-English description into a deterministic rule that runs without consuming AI credits. The rule builder is the bridge for users coming from Hazel: write a rule once, run it forever, no AI per file.

Sparkle is AI-only. The categories it sorts into are preset (Documents, Pictures, Music, Apps, Misc) and there is limited rule customization. For users who want a "trust the tool" cleaner experience, this is fine. For users who want to express specific routing logic ("invoices from this vendor go here, statements from that bank go there"), Sortio gives you the room and Sparkle does not.

Sparkle is macOS only. Sortio runs on macOS, Windows, and Linux. For households or small teams with mixed operating systems, this is decisive. The same Sortio rules work the same way on every machine.

For a single Mac user this looks like a non-issue, but it is worth thinking through: if you migrate to a Windows machine in two years, Sparkle does not come with you. If you set up a family Linux box for your kids, Sparkle does not run on it. Sortio is built on Tauri, which means the rule format, the prompt format, and the file behavior are identical across platforms.

Sortio handles PDF, Word, Excel, PowerPoint, plain text, Markdown, HTML, EPUB, and images (with OCR). It also handles common code files, configuration files, and the long tail of formats macOS users encounter (CBZ archives, RTF documents, Pages documents on supported platforms).

Sparkle handles the same broad categories at the extension level (Documents, Pictures, Music, Apps, Misc) but does not read content for any of them. For a folder that is entirely .docx files or entirely .pdf files, Sparkle ends up grouping by date or by filename pattern rather than by what the files are.

Sortio shows a preview before any move and creates a backup snapshot of the affected files before applying changes. If anything goes wrong, you can revert the entire sort in one click. Activity logs record every move with timestamp.

Sparkle offers undo on the last action. That works for the common case where you ran a sort and immediately want to reverse it. For longer-running watch-folder setups where files accumulate over days, point-in-time recovery is more useful, and that is where Sortio's backup-before-changes model is stronger.