Overview
FlashVoice provides AI Correction as an optional step after local transcription.
AI Correction is designed to improve the readability and quality of transcribed text, without changing how speech recognition itself works.
This article explains what AI Correction is, how it fits into the transcription pipeline, and what you should expect when using it.
What AI Correction Is (and Is Not)
AI Correction is a post-processing step that works on already generated text.
It is not:
- A second round of speech recognition
- A replacement for the transcription engine
- A way to reprocess audio input
Instead, AI Correction operates purely on text that has already been transcribed.
Where AI Correction Fits in the Transcription Pipeline
The transcription workflow in FlashVoice consists of two distinct stages:
- Speech Recognition
Audio is converted into raw text using a local speech recognition model. - AI Correction (Optional Post-processing)
The generated text is refined to improve clarity and structure.
AI Correction does not affect the speech recognition stage and does not modify the original audio-to-text conversion.
What AI Correction Improves
AI Correction focuses on text quality, not audio interpretation.
It can help with:
- Fixing obvious recognition mistakes
- Improving punctuation and sentence boundaries
- Smoothing sentence flow
- Making the text easier to read and review
This is especially useful for long transcripts, meeting notes, and written summaries.
What AI Correction Does Not Change
AI Correction does not:
- Reinterpret unclear audio
- Recover missing speech
- Change the detected language
- Override the original transcription logic
If the initial transcription contains major errors caused by language selection or poor audio quality, re-running transcription is usually a better first step.
Using Custom Vocabulary with AI Correction
FlashVoice supports Custom Vocabulary (Hotwords) during AI Correction.
Custom vocabulary is applied at the post-processing stage, not during speech recognition.
It helps AI Correction:
- Normalize names and proper nouns
- Handle technical terms consistently
- Improve accuracy for domain-specific language
This ensures that important words appear correctly and consistently in the final text.
When to Use AI Correction
AI Correction works best when:
- The transcription language was selected correctly
- Audio quality is reasonably clear
- You want to improve readability rather than re-transcribe audio
It is commonly used as the final step before exporting or sharing transcribed text.
Privacy and Data Handling
FlashVoice is designed with privacy in mind.
AI Correction:
- Does not reprocess audio
- Operates on transcription text only
- Does not change the original audio data
Your transcription workflow remains aligned with FlashVoice’s local-first and privacy-focused design.
Summary
AI Correction in FlashVoice is a lightweight but powerful post-processing step.
By refining text after transcription—without altering speech recognition—it helps produce cleaner, more readable results while preserving accuracy, privacy, and user control.