How Does EKHOS AI Keep Transcription Private and Secure?

EKHOS AI keeps transcription private by running its AI models locally on your own device rather than in the cloud. According to the site, audio is processed on your machine, with "No cloud. No telemetry. No limits," and the software "works offline." This matters most if you handle sensitive recordings — legal, medical, law enforcement, journalism, or research material — and don't want the audio or transcript touching a third-party server. If you only need occasional transcription of non-sensitive files, the privacy architecture is less of a deciding factor.

The core mechanism: local AI, not cloud AI

The privacy claim rests on where the computation happens. EKHOS AI describes itself as "professional-grade transcription software" that runs "on your device," with libraries stored on the local hard drive. That means:

• Audio stays on your machine. The transcription model processes the file locally instead of uploading it to a remote server.
• No telemetry. The site states there is no telemetry, so usage data isn't sent back to the vendor.
• Offline operation. Because the models run locally, transcription can work without an internet connection.

The practical consequence: there is no third-party server in the transcription path that could receive your audio. That is the specific claim to evaluate, and it's the one a reviewer on the site echoes — Tjerk notes the software "runs standalone and stores all libraries on the local hard drive," which "ensures that the information doesn't end up on a third-party server."

What "private" does and doesn't cover

Local processing removes the cloud from the transcription step, but it doesn't make every part of the workflow offline. Based on the site's own setup steps, some account-related actions still involve the vendor:

So the privacy guarantee applies to the audio and transcript content, not to account creation or app installation. If your concern is specifically that recordings or transcripts reach a server, local processing addresses it. If your concern extends to any vendor contact at all, note that signup and email verification are still part of getting started.

Why this matters for sensitive work

The site positions EKHOS AI for "legal, medical, law enforcers, journalists, researchers, podcasters and more." For these users, the risk isn't transcription quality — it's where the data goes. A cloud service, by design, requires uploading audio to someone else's infrastructure. A reviewer (Ron) frames the choice exactly this way: he wanted software that "could transcribe locally without data going to a cloud."

Two conditions make the local approach worth it:

• Your recordings contain information you're obligated or prefer to keep on-premises (client conversations, patient notes, source interviews).
• You can meet the hardware requirements. Local AI models need a capable machine. The site links to hardware requirements and installation instructions, and one reviewer notes "the PC needs to be set up correctly for this." Check those requirements before committing — this is the main trade-off of local processing versus cloud.

How to verify it yourself

You don't have to take the privacy claim on faith. After installing:

1. Disconnect from the internet and run a transcription. If it completes offline, the model is genuinely local.
2. Watch your network activity during a transcription job. Local processing shouldn't show sustained upload traffic of your audio file.
3. Check where files are stored. The site says libraries live on the local hard drive, so you can confirm transcript and model files are on your disk.

The offline test is the most direct: a cloud-dependent tool can't transcribe with no connection, while a local one can.

The bottom line

EKHOS AI's privacy model is local-first: AI runs on your device, audio isn't uploaded, there's no telemetry, and it works offline. That makes it a reasonable fit when keeping recordings off third-party servers is a hard requirement and your hardware can run the models. It's a weaker fit if you want zero vendor interaction (signup and email verification still happen) or if your machine can't meet the local-processing requirements. The site lists pricing starting at $9/month with a 25% saving, and offers a free signup option — check the pricing page for current terms before deciding.