The outcome

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

AssemblyAI is a speech-to-text, streaming transcription, and speech understanding API platform. Transcribing recorded or live speech and extracting structured insights such as speakers, chapters, entities, topics, sentiment, and summaries. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

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.

Audio can contain biometric, personal, confidential, copyrighted, or legally protected information. Confirm consent and purpose, isolate projects and keys, choose regional endpoints deliberately, minimize retention, handle partial and failed jobs safely, review transcription errors against audio, and monitor duration-based cost, concurrency, and rate limits.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.