# AI & Context Features The **MV Subtitle Generator** isn't just a transcriber; it's a context-aware editor. This document explains how the AI works to give you better results. ## The Problem with Traditional Transcription Standard Speech-to-Text engines often struggle with: - **Homophones**: Words that sound the same but mean different things (e.g., *pair* vs *pear*, *date a* vs *data*). - **Specialized Jargon**: Technical terms often get transcribed as common words. - **Names**: Unique names are often misspelled. ## Our Solution: Context Injection We use a sophisticated **LLM (Large Language Model)** review stage. When you provide context during upload, we pass this directly to the AI's "brain" when it reviews your text. ### How it works 1. **Transcription**: The audio is converted to raw text. 2. **Semantic Analysis**: The AI reads the text *and* your provided context. 3. **Cross-Referencing**: It asks: *"Does this word make sense given the user said this is a medical lecture?"* ### Examples | Context Provided | Audio Heard | Bad Transcription | MV AI Correction | | :--- | :--- | :--- | :--- | | "Programming tutorial" | "We need to verify the code" | "We need to very fry the code" | **"verify"** | | "Financial report" | "The company's machine earning" | "machine earning" | **"machine learning"** | | "Biology class" | "Look under the mike row scope" | "mike row scope" | **"microscope"** | ## Auto-Tidy (Confidence Scoring) The AI assigns a **Confidence Score** (0-100%) to every potential error it finds. - **High Confidence (100%) -> Auto-Fix**: If the AI is virtually certain it's a mistake (e.g., specific known typo or grammar rule failure), it will **automatically fix it** before you even see the review screen. These appear as "Auto-applied" in your review list. - **Medium Confidence -> Suggestion**: If it's unsure, it flags it as an "Anomaly" and asks for your human review, providing a reason and a suggestion. ## Getting the Best Results To maximize accuracy: 1. **Be Specific**: Instead of just "Meeting", try "Quarterly marketing meeting discussing Q4 budget and ROI". 2. **List Terms**: "Keywords: React, TypeScript, API, Database". 3. **Name Names**: "Speakers: John, Sarah, and Dr. Emily".