# Corrections

Linnet includes an inline correction widget for fixing transcription errors. Corrections are saved locally and used to fine-tune your local Whisper model over time.

## Making a correction

1. Open a session
2. Click any transcript line to enter edit mode
3. Fix the text inline
4. Press **Enter** or click **Save**

The corrected text replaces the original in the session view. The original is preserved in the correction log for model retraining.

## How corrections improve accuracy

Each correction you make is stored in a local dataset. Linnet periodically runs a fine-tuning pass on your local Whisper checkpoint using these corrections, biasing the model toward your voice, speech patterns, and vocabulary.

This is entirely local. Corrections are never sent to CircuitForge servers.

The fine-tuning pass runs in the background when Linnet is idle. You can also trigger it manually from **Settings** under **Model** then **Retrain now**.

## What corrections do not fix

Corrections fix recognition errors (wrong words, missed words). They do not adjust tone labels — tone annotation is based on audio characteristics, not the text content. If a tone label is wrong, that reflects model uncertainty about the audio segment, not a transcription error.

Tone label feedback is on the roadmap as a separate feature.

## Resetting corrections

If you want to discard your local correction dataset and start fresh from the base model, go to **Settings** then **Model** then **Reset correction data**. This removes all saved corrections and resets to the bundled checkpoint.