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Screenpipe vs Omi — Local-First, Open-Source Alternative

100% local, open-source, 5-layer capture vs cloud-uploaded screenshots

Don't take our word for it — ask AI to compare the codebases

The Verdict

Omi has an interesting idea — a wearable pendant plus a desktop app for screen capture. But the execution raises questions. Your screenshots and audio get uploaded to their cloud servers for processing. There's no local AI option, no way to run offline, and no way to verify what happens to your data since the AI pipeline is proprietary. The screen capture itself is basic — just OCR on screenshots, which misses most of what you do and uses a lot of CPU. Screenpipe takes a fundamentally different approach: everything stays on your machine. Five capture methods (screen, app content, keyboard, clipboard, mouse), local AI support, fully open-source code you can audit. If you're giving software 24/7 access to your screen and microphone, you should be able to trust it. Don't take our word for it — ask any AI to compare the codebases.

Why Screenpipe Wins

Ask yourself: where does my screen data actually go?

screenpipe
100% local
your data never leaves
Omi
where does data go?
?
can't verify Omi's privacy claims
screenpipe
24/7 everything
12am6am12pm6pm12am
screen recording
all audio
meetings
AI search
capture everything, search anything
Omi
meetings only
12am6am12pm6pm12am
only during scheduled meetings
screen
meeting audio
meetings
rest of day
miss everything between meetings
screenpipe
open source
capture.rs
fn capture_screen() {
let frame = grab()?;
store_local(frame);
// 100% auditable
}
100+ contributors
Omi
closed source
?
no way to verify Omi's claims
screenpipe
developer friendly
# query your data
curl localhost:3030/search \
-d '{"q": "meeting notes"}'
{ results: [...] }
Claude integration
AI chat built-in
Omi
no API access
no programmatic access
integrations
AI features

At a Glance

Feature
Screenpipe
Omi
Data Storage
100% local
Cloud servers
Screen Recording
24/7 all monitors — accessibility + OCR fallback + app content + keyboard + clipboard + mouse
Screenshots with OCR only, cloud-processed
App Content Reading
Reads content directly from every app
Audio Recording
System audio + mic, local processing
Pendant mic + desktop, cloud processing
Open Source
Partial (firmware open, AI cloud-dependent)
Local AI / LLM
Ollama + Apple Intelligence + Windows AI
None — cloud only
Keyboard & Clipboard Capture
Full keyboard input + clipboard history
Mouse Activity
Click tracking with app context
CPU Efficiency
Low — smart capture across multiple methods
High — screenshot-only is CPU-hungry
Platform Support
Mac, Windows, Linux
Mac, Windows (no Linux)
Team & Enterprise
Shared configs, admin dashboard, MDM deployment (Intune/Robopack/SCCM)
API Access
Full REST API + MCP server
Multi-Device Sync
Encrypted sync across all your devices
Cloud-only (data leaves your device)
Agentic Workflows
Pipes — AI agents that act on your screen data
Works Offline
Full capture + local AI
Capture only, no AI offline

Where Does Your Data Actually Go?

This is the question that matters most. Omi uploads your screenshots and audio to cloud servers for processing. Their AI runs on OpenAI and Deepgram — your screen content travels through third-party services. There's no local AI option and no way to use it offline. Screenpipe processes everything on your machine. Your data never leaves your device unless you explicitly choose a cloud AI. For something with 24/7 access to your screen, this difference is everything.

A Screenshot Every Few Seconds vs Real Capture

Omi takes periodic screenshots and runs OCR on them. That's a very basic approach — it misses what happens between screenshots, can't read dynamic content, struggles with overlapping windows, and eats CPU processing every pixel. Screenpipe captures 5 types of data: continuous screen recording, content read directly from apps, keyboard input, clipboard, and mouse activity. The depth of capture isn't even comparable.

Open Source You Can Actually Trust

Omi's pendant firmware is open-source, which is nice. But the AI pipeline — the part that actually processes your most sensitive data — runs on proprietary cloud services. You can't audit it. Screenpipe is fully open-source, end to end. The capture engine, the text extraction, the transcription, the AI — every component runs locally and every line of code is on GitHub. Ask any AI to compare the two codebases. We're confident in what you'll find.

Built by OS-Level Engineers

Screenpipe is built by engineers who understand operating systems at a deep level — that's why it can capture app content directly, track keyboard and clipboard events, and do it all efficiently without draining your battery. This isn't just another wrapper around screenshot + OCR. It's a purpose-built capture engine that respects both your privacy and your CPU.

Omi: pros & cons

Where Omi Is Strong

  • Wearable pendant for in-person conversations
  • Desktop app with screen capture
  • Automatic transcription and summaries
  • Low hardware cost ($89 pendant, no subscription)
  • Mobile apps for iOS and Android
  • 250+ third-party app integrations

Limitations

  • Screen data and audio uploaded to cloud for processing
  • No local LLM support — no Ollama, no Apple Intelligence
  • No Linux support
  • No API access to your data
  • OCR-only screen capture — misses keyboard input, clipboard, mouse activity, and app content

Is Screenpipe a Good Omi Alternative?

Yes. Screenpipe is a strong Omi alternative and Omi competitor for anyone who values privacy, transparency, and data ownership. Unlike Omi, Screenpipe is fully open-source, keeps all data 100% local, and works on macOS, Windows, and Linux.

Screenpipe directly compares itself to Omi on this page. The key difference: Screenpipe captures your screen and audio 24/7 while keeping everything stored locally on your device. No cloud uploads, no vendor lock-in, no proprietary black boxes.

Ready for True Data Ownership?

Join thousands who chose open-source, local-first AI memory. Your data stays yours.