Oriloq Documentation

Transcription

This page describes transcription settings: provider, local model, preferred language, fine-tuning dataset and privacy.

Objective

Choose the transcription engine, configure the local model, set the preferred language and manage fine-tuning datasets.

Oriloq transcription settings – provider, MLX model, language and dataset
Transcription settings overview: provider, local MLX model, language and fine-tuning dataset.

Transcription provider

Oriloq offers several transcription engines. Use the Engine dropdown to select the desired provider (e.g. Backend MLX Local). When a local backend is active, an indicator confirms its status.

Local MLX Model

Select the transcription model via the Model dropdown. When a model is ready, Oriloq displays its status (“Model ready to use”) along with the disk space it occupies. Adjust the Max token budget to limit the number of tokens generated per transcription. Click Open models folder to access the directory in Finder. If the model has not been downloaded yet, click Download model to fetch it. Use Delete downloaded model to free up disk space. Note: changing the model requires a backend restart.

Transcription language

Set the Preferred language via the dropdown to tell Oriloq which language you primarily dictate in. This setting helps the model optimize speech recognition for the chosen language.

Fine-tuning dataset

This section lets you manage the storage folder for recordings used to fine-tune the transcription model. Oriloq shows the number of recordings pending validation and validated. Use Change folder… to select a different location, Open folder to access it in Finder, or Reset to restore the default path. Recordings are organized into the “Enregistrements_a_valider” and “Enregistrements_valides” subfolders.

Information

The local backend guarantees 100% private transcription: your audio data stays entirely local on your machine and is never sent to an external server.