Voice capture
- Desktop voice capture
- A focused dictation interaction rather than a general voice assistant
The problem
The situation this product exists to change, in the buyer's language.
Voice-to-text tools often send audio to a cloud service, which is a poor fit for anyone dictating private or sensitive material.
General-purpose voice assistants are built for broad commands, not for a focused, accurate dictation workflow.
A desktop dictation workflow benefits from transcription that happens on the device itself rather than depending on a network round-trip.
Approach
The direction the product takes to close that gap.
Tract is a desktop application built around an on-device transcription workflow, so voice capture and transcription happen locally rather than depending on a cloud service for that step.
The product is scoped narrowly around voice capture and transcription, rather than trying to be a general-purpose assistant.
Tract is in private beta, so the workflow is still being refined with a limited group of users before any wider availability.
How it works
The path from a first action to the outcome it produces.
The desktop application captures voice input directly from the user's device.
Voice is transcribed as part of an on-device workflow designed around private dictation.
The resulting text is available to the user through a focused voice-to-text interaction.
Features
Grouped by the part of the workflow each set of features supports.
Fit
Who this is built for, what it changes, and what it runs on.
Questions
A first conversation can clarify fit, access, and what a quotation needs to cover.
No. Tract is currently in private beta, so it is not generally available and access is limited while the product is refined.
Tract's transcription step is designed around an on-device workflow, which is different from voice tools that route audio to a cloud service for that step.
Access during the private beta is limited. Current status is best confirmed directly through the Tract website (https://tract.nexg.dev) or by contacting NexG.
Yes. Behavior and the on-device workflow may change while the product is being refined, so the private-beta experience should not be treated as a finished, fixed feature set.
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