Estimating Audio Transcription API Costs Per Minute in Go Before Production
The article argues that transcription spend should be estimated from audio duration before a job is accepted, since these APIs are usually billed per minute rather than per token. It proposes projecting costs per request and turning those estimates into tenant quotas and alert thresholds. Alerts should include submitted minutes, the admission-time estimate, provider choice, and latency budget so on-call engineers can act quickly. The author notes that the ASR capability is currently unavailable, so the figures are for planning guardrails rather than live transcription. A separate quality sample is recommended so cost tracking does not stand in for measuring extraction accuracy and latency.
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