The true cost of inaccurate transcription: why the cheapest API is rarely the cheapest option

Speech-to-text pricing comparisons typically focus solely on per-minute or per-hour rates, but this obscures the true cost of ownership. The real expenses come from direct API costs, human labor needed to correct transcription errors, and cascading failures when inaccurate transcripts feed into downstream AI systems — a 10-percentage-point accuracy gap can require 3-4 times more correction time per hour of audio. AssemblyAI prices pre-recorded transcription at $0.21/hour and streaming at $0.45/hour, positioning accuracy as a key factor in the total cost equation.