Medical transcription that never leaves your device
Clinical conversations are about as sensitive as recordings get. A consultation, a therapy session, a case discussion: the last place most of them should go is a third-party server you do not control. Yet most transcription tools work exactly that way, streaming the audio to their cloud to turn it into text.
talat is built the other way round. It records and transcribes on the clinician’s own machine, and the audio is never uploaded anywhere. That is not a compliance feature bolted on top; it is how the software is built.
The cloud is the problem, not the transcription.
When a transcription service processes audio in its cloud, that audio has left your control. You are then trusting a vendor’s policies, their retention, their staff access, and their security, for recordings of patients who never agreed to any of it. It is why handling protected health information with a cloud vendor means a business associate agreement and a careful look at what they do with the data.
talat sidesteps that whole conversation. The recording, the transcript, and the summary stay on the device they were made on. There is no vendor cloud in the chain, because there is no vendor cloud at all: the AI that does the work ships inside the app and runs locally.
A word on what this does and doesn't claim.
Compliance with health-privacy regulation like HIPAA is something a practice achieves through its own policies and practices, not something a piece of software can hand you in a box. talat does not claim to be a certified compliant product, and you should be wary of any transcription tool that waves the word around as a badge.
What we will say plainly is that on-device processing changes the shape of the problem. If patient audio never reaches anyone else’s servers, there is no third-party processor to contract with and no external copy to account for. That is a genuinely stronger starting point than a cloud service can offer. Whether talat fits your specific obligations is a judgement for you and whoever advises you on the regulation, and that is the honest line.
A real transcript, not just a recording.
talat records from your microphone and your computer’s own audio, tells the speakers apart, and puts a name to each line. When you stop, an AI on your machine writes a summary, splits the conversation into chapters, and pulls out anything that reads like a follow-up. It works for an in-person conversation captured on a laptop or a telehealth call the machine is already playing, and it keeps working with the network off entirely.
It runs on macOS and Windows, so it is a genuine option whether your practice is on one or the other, and unlike the old desktop dictation names, your recordings stay on your own machine rather than on a vendor’s servers. Pay once for a licence or subscribe, whichever suits the practice; either way the audio does not leave the device.
More on how this works.
For the mechanics of on-device capture, see how private, on-device transcription works. talat is also built for other professions with the same requirement; the rest are on the use-case overview.
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