Feature comparison
Competitor data from Microsoft Presidio public documentation, 2026 — verify before relying.
| Feature | anonym.plus | Microsoft Presidio |
|---|---|---|
| Data leaves your device | Never — 100% on-device, by default | Depends on your deployment — Presidio is a library/service, so most teams run it on a server or cloud VM, meaning documents travel over a network unless you build an air-gapped setup yourself |
| Deployment | Single installable desktop app (Windows/macOS) | Python library + Docker images, run as a self-hosted REST service |
| Offline / air-gap | Yes, by default — verified with no internet connection at all | Possible, but not packaged — you must provision the environment, pre-fetch NLP models, and manage the container yourself |
| Entity types | 340+ built-in | ~20 default recognizers; more require writing custom Python recognizers |
| Encryption | Local AES-256-GCM with an offline key vault | An "encrypt" operator exists, but secure key storage is left to the implementer |
| Account / login required | No account for core use — internet is needed only once, for initial license activation | No account (open source), but also no vault, UI, or key management — everything is code you write |
| Pricing model | One-time license, no subscription | Free (MIT license) — $0 software cost, but the cost shifts to engineering time, hosting, and maintenance |
| Setup / DevOps | None — download, install, run. Built on Presidio + spaCy under the hood | Requires Python environment setup, model downloads, and typically Docker/Kubernetes to operate as a service |
| Compliance angle | On-device processing removes the processor/transfer question entirely — an independent penetration test (March 2026) confirmed no document data egress | You are the controller and processor of your own deployment; GDPR obligations (Art. 28 agreements, hosting location, breach process) depend entirely on how and where you run it |
Microsoft Presidio strengths
- Backed by Microsoft, actively maintained, with a large open-source community
- Highly extensible — custom recognizers, custom operators, pluggable NLP engines (spaCy, Stanza, transformer models)
- Free to use under the MIT license at any scale, no licensing cost
- Well-documented Python SDK and REST API that drop cleanly into existing data-engineering or MLOps pipelines
- Includes an image redaction module built on Tesseract OCR
Microsoft Presidio limitations
- No packaged GUI or desktop app — every user-facing capability has to be built by your own engineering team
- Requires Python and DevOps expertise to install, configure, and keep running (dependencies, model downloads, containers)
- Default recognizer set covers a narrower range of entity types out of the box; broader coverage means writing custom recognizers
- No built-in key vault or local key management — the "encrypt" operator exists, but you own the security of the keys
- Because most deployments run Presidio as a network service, genuine air-gapped use requires deliberate architecture work that most teams skip in practice
Why choose anonym.plus
- 100% on-device processing — no document content ever leaves your machine, verifiable by disconnecting the network and running it anyway
- 340+ PII entity types detected out of the box, no custom recognizer code required
- Local AES-256-GCM encryption with an offline key vault — keys never touch a server
- Zero outbound network calls during document processing — an independent penetration test (March 2026) confirmed no document data egress
- One-time license, no subscription — internet is needed only once, for initial activation
- Built on Microsoft Presidio + spaCy under the hood, packaged as a ready-to-run desktop app — Presidio's detection engine, without writing Python or standing up infrastructure