# Current State of AI Transcriber V2 **Date:** January 12, 2026 **Version:** 2.0 (Refactored & Robust) ## 🚀 Recently Completed Features 1. **Unified Translation Logic**: All scripts now use a shared fallback pipeline: **Primary (User Pref) -> Secondary -> Local LLM (Ollama) -> MyMemory**. 2. **Flattened Directory Structure**: Removed nested `ai_transcriber_v2/ai_transcriber_v2` folders. All V2 modules are now in the root of `ai_transcriber_v2/`. 3. **Flatpak & Bazzite Compatibility**: * Added `flatpak-spawn --host` support for `ffmpeg`, `ffprobe`, and `ollama`. * Updated `mount_truenas.sh` to handle UID/GID mapping for write permissions on remote shares. 4. **Hardware-Accelerated Safety Checks**: * **Size Validation**: Rejects any remuxed file that drops more than 20% of the original size. * **Duration Validation**: Rejects any remuxed file where the duration differs by more than 1 second. * **Zero-Byte Check**: Deletes empty outputs immediately. 5. **Intelligent Skipping**: * Whisper detects source language; if it matches the target (e.g., English to English), translation is skipped entirely. 6. **Progress Tracking**: * Integrated `tqdm` progress bars for iterative translation steps. * Enabled `verbose=True` for Whisper to show live transcription segments. 7. **Stability**: * Fixed SQLAlchemy `DetachedInstanceError` by expunging objects from sessions in `tracker.py`. * Added `GracefulKiller` for clean `Ctrl+C` shutdowns (finishes current file, then exits). ## 🛠 Active Setup - **Environment**: Bazzite (Linux) running VS Code via Flatpak. - **Local LLM**: Ollama with `llama3` (or `dolphin-llama3`). - **Media Tools**: Host-level FFmpeg/FFprobe accessible via `flatpak-spawn`. ## 📌 Next Steps / Future Ideas - Consider batching small SRT segments for Gemini to reduce API calls and improve context. - Add a GUI or Web dashboard for tracking `job_history.db`. - Implement auto-retry for specific "failed_validation" files with different model parameters.