Transcription accuracy: what WER measures and what it misses

An honest comparison of the four speech-to-text providers most documentary editors actually use, scored on accent handling, diarization, latency, and cost per hour of audio.

A practical guide to transcribing interviews for documentary post: when AI is good enough, when human review is needed, how to handle speakers, timecode, and overlap.

Diarization assigns speaker labels to audio segments without knowing who the speakers are. Here is how voice prints work, why similar vocal profiles cause problems, and how merge thresholds control the output.