The outcome

Produce an auditable transcript whose source, model settings, confidence limits, and edits remain traceable.

Step by step

A workflow you can repeat.

  1. 01

    Confirm recording consent and retention rules, then define language, expected speakers, timestamps, formatting, accuracy target, and review owner.

  2. 02

    Create a development project and API key, keep the key server-side, and submit an accessible audio file with explicit speech model and feature settings.

  3. 03

    Poll the job with bounded backoff, handle terminal errors without duplicate submissions, and store the transcript ID with the source recording ID.

  4. 04

    Review low-confidence names, numbers, jargon, speaker labels, timing, and sensitive passages against the audio using a representative benchmark.

  5. 05

    Save the raw result and a separately versioned corrected transcript, restrict access, record cost and duration, and delete data on schedule.

Working standard

What good use looks like.

  • Verify consent before upload.
  • Version human corrections separately.
  • Keep source-to-transcript lineage.

Official references

Check the current product documentation.