audio-transcription

audio-transcription

Transcribe local or remote audio into text and timestamps. Convert an existing timed transcript locally into SRT or ASS without another transcription job.

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Updated 9/20/2026
SKILL.md
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name
audio-transcription
description

Transcribe local or remote audio into text and timestamps. Convert an existing timed transcript locally into SRT or ASS without another transcription job.

Audio Transcription

Use When

  • The input is audio and the main job is speech-to-text, subtitle-ready timing,
    rough speech search, multilingual transcription, or durable transcript
    artifacts.
  • Use video-transcription for video inputs and media-analysis for semantic
    video understanding.

If a timed transcript already exists and only subtitle output is requested,
skip transcription and read the local subtitle conversion reference.

Do Not Use When

  • The task needs new creative generation or visual analysis rather than speech or subtitles.
  • Required inputs are missing and guessing would change the result.

Execution Boundary

  • Hosted transcription runs through the public postplus media transcribe verb
    and is async. A submit records the run handle, current status, and completed
    artifacts when available.
  • Pass a local path, HTTPS URL, existing PostPlus media reference, or data URI
    directly to --audio. The CLI validates and prepares local media before the
    single hosted submit.
  • A higher-quality default model and a faster, cheaper variant are available;
    prefer the default when subtitle quality matters and use the cheaper variant
    for an explicit rough pass. The generated example below shows the default
    endpoint key.

Source And Path

  • Supply the media duration so PostPlus can validate the request before it runs;
    a missing duration fails before submission.
  • Request timestamps when the output will feed subtitles or edit decisions.
  • Start with one source file or audio URL before larger batches.
  • Keep internal requests, responses, manifests, normalized transcripts, and
    downloaded artifacts under .postplus/audio-transcription; keep final
    user-facing transcript exports outside .postplus.

Handoff

  • If status is pending, preserve the result path and follow the CLI-returned
    action or resume command for the same operation. Do not submit another job.
    Stop and report when the CLI wait/recovery boundary is reached.
  • When SRT/ASS is requested, use the actual timed transcript and read
    local subtitle conversion. Convert locally without
    another hosted request; do not invent a CLI export command.

Stop Conditions

  • Stop when required user intent, source evidence, or owned input artifacts are
    missing and guessing would change the result.

Public Command Boundary

  • Choose the smallest matching command or workflow from the user input and run
    it directly.

  • Readiness diagnostics: postplus doctor --skill audio-transcription.

  • Use postplus media schema --json only when you need the full endpoint, flag,
    and enum contract or are repairing an unknown request shape.

  • Run the hosted transcription job with the generated command below; do not use
    another execution interface.

  • Pass the source directly through --audio; do not pre-upload it or construct
    a manual request object.

<!-- BEGIN GENERATED EXECUTION EXAMPLE -->

postplus media transcribe transcription \
  --audio ./reference.wav \
  --duration-seconds 1 \
  --wait \
  --output ./result.json

Follow the CLI's structured result and reported next action; do not infer recovery from free-text messages.
Wait for explicit user approval when requested; an action does not authorize spending, publishing, or overwriting.
Resume the same operation through its returned checkpoint or action; never resubmit uncertain work, repeat exhausted recovery, or switch providers to bypass failure.
<!-- END GENERATED EXECUTION EXAMPLE -->

  • If the CLI returns a quote-confirmation challenge, obtain user approval for its scope and cost before running postplus quote confirm --json --challenge-file <challenge.json> and retry with the returned token.