Built for professional interpreters, by an interpreter.

Keep the conversation visible.Keep interpreting.

Whisker keeps the client and the person you’re interpreting for visible with live transcription and reference translation—so you can retain context without taking constant notes, while staying in control of the interpretation.

Built to replace the notebook—not the interpreter.

Run locally with Whisker Engine, or connect your own Soniox, Deepgram, or Speechmatics account.

See the workflow in action

Choose a demo

Pick a setup above, then click the recording to start.

Ready

Whisker Interpreter Mode waiting in Standby

The interpreter workflow

One conversation. Two sides. Kept in context.

Generic captions flatten every voice into a single stream. Whisker keeps Client and LEP separate, with the live transcript in Native (original language) and a reference translation in Target (the language you're going to interpret to)—so the conversation stays readable without taking control away from the interpreter.

  1. Client / LEP

    Each side keeps its own recent context instead of collapsing every voice into one running transcript.

  2. Native / Target

    Native is the original language transcript. Target is a live reference translation—use it to check unfamiliar terms while interpreting in your own voice.

  3. Routing stays yours

    Manual routing is the default. Automatic routing is optional when the selected provider supports diarization.

Whisker Interpreter Mode showing separate Client and LEP panels, each with Native transcription and Target reference translation
Local · ManualReal Whisker output
ClientEnglish → Spanish
Real Whisker output · Native and Target shown at working size

Reference translation

Translation when you need it. Judgment stays yours.

Target stays beside the confirmed Native transcript as a live second-language reference. Use it to check an unfamiliar term or formulation, then continue interpreting in your own voice.

Confirmed source
Target follows confirmed Native text—not provisional words that are still changing.
Correctable
Edit confirmed Native text when a term is missed and the reference follows the corrected source.
Optional layer
Keep Target visible for support or collapse it per side while transcription continues.

Whisker displays a reference. It does not make the interpretation.

The Whisker stack

Local first. Cloud optional.One workflow, either way.

Transcription and translation are separate choices. Run them on your computer, or use the cloud where you choose.

Choose where audio runs. Keep the translation boundary clear.

Whisker Engine
Turns speech into text on your machine without needing a cloud transcription account.*
Whisker Translator
Produces a live reference translation locally from confirmed words.
Why local
In Local mode, the call stays on your computer and live content is temporary by design.
Privacy by design
No saved transcripts, audio, or clip recordings. Whisker receives no call data; the only server connection is for licensing.

*Real-time local transcription requires a modern GPU. Cloud audio goes only to your selected provider; translation stays local unless cloud translation is selected.

From audio to TargetOne workflow, your choice
INPUTAudio

The live conversation.

TRANSCRIPTION
LOCALWhisker Engine

Whisker's own speech-to-text, running locally on your computer.

CLOUDYour provider

Cloud speech-to-text from Soniox, Deepgram, or Speechmatics.

SOURCENative

The live source text, from provisional to confirmed.

TRANSLATION
LOCALWhisker Translator

Compatible with every transcription source.

CLOUD · WHEN SUPPORTEDCloud Translator

Optional provider-native Target translation.

REFERENCETarget

The language you're interpreting into.

Provider credits

Start with the credits you already have.Keep the provider choice yours.

Connect your own provider account and use any eligible welcome credits from day one. The 7-day Whisker trial gives you time to test the full workflow before paying out of pocket.

ProviderWelcome creditWhisker pathEstimated active hours
Deepgram$200 welcome creditNova-3 multilingual~571 h*
Speechmatics$100 welcome creditMelia 1 · realtime betaTBA
Soniox

*Deepgram estimate: $200 ÷ ~$0.35/hour for Nova-3 multilingual. Credit eligibility, expiration, and final rates are set by each provider. Speechmatics Melia 1 realtime beta pricing is currently TBA.

Explore the full workflow before spending a cent out of pocket.

Public release

Whisker 1.0 is coming soon.

Whisker is currently in final development. Availability and pricing will be published here when the first public release is ready.

Current statusFinal development