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Video Transcription

  • 796 installs
  • 19 repo stars
  • Updated July 27, 2026
  • postplusai/postplus-skills

video-transcription is a PostPlus media skill that transcribes remote or uploaded videos into timed transcripts and subtitle-ready outputs using hosted Whisper video-to-text for developers who need speech extraction from

About

video-transcription is a skill from postplusai/postplus-skills in the Media and Creative Production family that transcribes video into timed transcripts and subtitle-ready artifacts. It accepts remote HTTPS video URLs or local files after a PostPlus media-file upload, then runs hosted Whisper video-to-text to extract speech with timestamps. Developers reach for video-transcription when the input is video and the goal is caption generation, multilingual transcripts, edit-prep timing, or speech extraction—not semantic visual analysis, which belongs to the separate video-analysis skill. The skill fits content pipelines, accessibility captioning, and post-production workflows that need machine-readable timed text from spoken audio tracks.

  • Hosted async path: submit writes request, response, manifest, generation handle, provider status, URLs, and artifacts wh
  • Default `enableTimestamps: true` for subtitles and edit-prep timing decisions
  • Derive `durationSeconds` from source video before submit for billing/preflight
  • Use `video-analysis` instead when the user needs semantic visual analysis, not speech
  • Media production family skill with explicit do-not-use and handoff boundaries

Video Transcription by the numbers

  • 796 all-time installs (skills.sh)
  • +50 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #317 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/postplusai/postplus-skills --skill video-transcription

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Listed on Skillselion
Installs796
repo stars19
Security audit1 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorypostplusai/postplus-skills

How do you transcribe video to timed subtitles?

Turn uploaded video into timed transcripts and subtitle-ready artifacts through PostPlus hosted Whisper video-to-text.

Who is it for?

Developers building caption, transcript, or edit-prep pipelines who need hosted Whisper transcription from remote or uploaded video files.

Skip if: Tasks requiring semantic visual scene analysis of video frames rather than speech-to-text extraction from audio.

When should I use this skill?

The input is a video file and the goal is speech extraction, timed transcripts, captions, or multilingual subtitle generation.

What you get

Timed transcript text, subtitle-ready caption artifacts, and edit-prep timestamps extracted from video speech via Whisper.

  • Timed transcript
  • Subtitle-ready caption artifacts

Files

SKILL.mdMarkdownGitHub ↗

Video Transcription

Use When

  • The input is a video file and the goal is speech extraction, timed transcript,

caption generation, multilingual transcript, or edit-prep timestamps.

  • Use video-analysis instead when the user needs semantic visual analysis.

Do Not Use When

  • The task belongs to ideation, QA, or another released skill listed in the handoff section.
  • Required inputs are missing and guessing would change the result.

Execution Boundary

  • Hosted video transcription runs through the public postplus media transcribe

verb and is async. The generated example below shows the endpoint key.

  • The transcription submit command accepts a remote HTTPS video URL. For a local

video file, first run the generic hosted upload step, read output.data.download_url from the upload result, then pass that HTTPS URL to --video.

  • Request timestamps by default when results drive subtitles or edit decisions.
  • Hosted video transcription is async. Submit writes request, response, manifest,

normalized transcript path, generation handle, provider status, provider URLs, and artifacts when already completed.

Source And Path

  • Before submit, derive durationSeconds from the source video or uploaded

source URL and include it in the hosted capability request input for billing/preflight.

  • Start with one source file before larger batches.
  • Keep internal requests, responses, normalized transcripts, and downloaded

artifacts under .postplus/video-transcription; keep final user-facing transcript exports outside .postplus.

Handoff

  • If status is pending, return the manifest path, the output.data.id generation

handle, and the poll command postplus media poll --handle <output.data.id>. Do not keep the conversation open just to poll.

  • When completed, hand off normalizedTranscriptPath, downloaded artifacts, and

final transcript paths to subtitle-packager if SRT/ASS is needed.

Stop Conditions

  • Stop when required user intent, source evidence, or owned input artifacts are

missing and guessing would change the result.

  • If an owned CLI or script command fails, report the exact error and stop. Do

not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.

Public Command Boundary

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

it directly.

  • Readiness diagnostics: postplus doctor --skill video-transcription.
  • If an owned CLI or script command fails, report the exact error and stop. Do

not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.

  • 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 call

provider APIs directly.

  • For a local file, first run

postplus media-file upload --skill video-transcription --input-file <video-file> --mime <video/mp4|video/quicktime|video/webm> --output <upload.json>. Then read the HTTPS output.data.download_url from <upload.json> and pass that URL as --video. Do not pass local paths, file:// URLs, or storageReference objects to postplus media transcribe.

  • If the CLI returns a quote-confirmation challenge, run postplus quote confirm --json --challenge-file <challenge.json> and retry with the returned token.

<!-- BEGIN GENERATED EXECUTION EXAMPLE -->

postplus media transcribe transcription-video \
  --video <video> \
  --duration-seconds <duration-seconds> \
  --output <result.json>

<!-- END GENERATED EXECUTION EXAMPLE -->

Related skills

How it compares

Pick video-transcription over video-analysis when the deliverable is spoken-word timed text, not visual scene interpretation.

FAQ

What inputs does video-transcription accept?

video-transcription accepts remote HTTPS video URLs directly or local video files after upload through PostPlus media-file. Both paths feed hosted Whisper video-to-text for timed speech extraction.

When should I use video-analysis instead?

video-transcription fits speech extraction, captions, and timed transcripts from video audio. postplusai recommends video-analysis when the goal is semantic visual understanding of on-screen content rather than spoken words.

Is Video Transcription safe to install?

skills.sh reports 1 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

Generative Mediaintegrations

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