Transcribe an audio file using Whisper. Returns segments with timestamps, text, and confidence scores.

Run all hallucination detectors on a transcript. Returns a list of flags with severity, detector name, and evidence. Detectors: repetition_loop, silence_hallucination, prompt_echo, temporal_drift, phantom_subtitle, language_switch, completeness.

Run the LLM repair loop on flagged segments. The LLM can delete fabricated segments, replace them, or decline to touch them. Returns structured repair actions with confidence and reasoning.

Compute quality metrics: WER, CER, hallucination rate, words per minute. If a reference transcription is provided, computes accuracy.

Estimate processing cost for a given audio duration. Returns breakdown: Whisper API cost, LLM repair cost (if needed), total.