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Transformations

Transformations are post-processing profiles applied after transcription. They can remove filler, structure a prompt, preserve code identifiers, or adapt output to a specific workflow.

Recording coming soon

Transformations

Dictate one sentence and compare the raw transcript across several transformer profiles.

How it works

From action to result.

  1. 01

    Choose a profile

    Select standard cleanup, developer, agentic developer, prompt engineer, or another available profile.

  2. 02

    Dictate normally

    Vordi first produces a raw transcript from the captured audio.

  3. 03

    Apply post-processing

    The selected profile handles punctuation, casing, filler, structure, identifiers, and relevant Magic Word expansion.

  4. 04

    Inject the result

    Only the transformed output is typed into the focused field while the run retains the pipeline history.

  5. 05

    Tune vocabulary

    Custom vocabulary can help transcription and cleanup preserve names, product terms, and code identifiers.

Where to find it

Settings → General controls output style. Settings → AI Models controls the model used for post-processing.

What Vordi stores or changes

Profile choices and vocabulary are local. Text may be sent to the configured AI provider unless a supported local route is selected.

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