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transcribe

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by openai · part of openai/skills

Transcribe audio files to text with optional speaker diarization and known-speaker hints. Supports fast text transcription via gpt-4o-mini-transcribe and speaker-labeled diarization via gpt-4o-transcribe-diarize Accepts multiple audio formats and optional known-speaker references (up to 4 speakers) to improve diarization accuracy Outputs as plain text, JSON, or diarized JSON with configurable output directories to prevent overwrites Requires OPENAI_API_KEY environment variable; uses bundled...

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🧩 One of 7 skills in the openai/skills package — works on its own, and pairs well with its siblings.

Transcribe audio files to text with optional speaker diarization and known-speaker hints. Supports fast text transcription via gpt-4o-mini-transcribe and speaker-labeled diarization via gpt-4o-transcribe-diarize Accepts multiple audio formats and optional known-speaker references (up to 4 speakers) to improve diarization accuracy Outputs as plain text, JSON, or diarized JSON with configurable output directories to prevent overwrites Requires OPENAI_API_KEY environment variable; uses bundled...

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

name: "transcribe" description: "Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings."

Audio Transcribe

Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.

Workflow

  1. Collect inputs: audio file path(s), desired response format (text/json/diarized_json), optional language hint, and any known speaker references.
  2. Verify OPENAI_API_KEY is set. If missing, ask the user to set it locally (do not ask them to paste the key).
  3. Run the bundled transcribe_diarize.py CLI with sensible defaults (fast text transcription).
  4. Validate the output: transcription quality, speaker labels, and segment boundaries; iterate with a single targeted change if needed.
  5. Save outputs under output/transcribe/ when working in this repo.

Decision rules

  • Default to gpt-4o-mini-transcribe with --response-format text for fast transcription.
  • If the user wants speaker labels or diarization, use --model gpt-4o-transcribe-diarize --response-format diarized_json.
  • If audio is longer than ~30 seconds, keep --chunking-strategy auto.
  • Prompting is not supported for gpt-4o-transcribe-diarize.

Output conventions

  • Use output/transcribe/<job-id>/ for evaluation runs.
  • Use --out-dir for multiple files to avoid overwriting.

Environment

  • OPENAI_API_KEY must be set for live API calls.
  • If the key is missing, instruct the user to create one in the OpenAI platform UI and export it in their shell.
  • Never ask the user to paste the full key in chat.

Skill path (set once)

Copy & paste — that's it
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export TRANSCRIBE_CLI="$CODEX_HOME/skills/transcribe/scripts/transcribe_diarize.py"

User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills).

Reference map

  • references/api.md: supported formats, limits, response formats, and known-speaker notes.