A tool for turning audio or video files into text with word-level timing. It also creates caption data, SRT subtitles and plain text.

Use it to transcribe recordings or video clips and prepare timed captions or subtitle files for Remotion videos.

It removes the need to type recordings by hand and provides timings that can be used to display captions.

transcribe — Skill for Claude Code by DojoCodingLabs

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/DojoCodingLabs/remotion-superpowers

agentmods

npx agentmods add skills/dojocodinglabs/remotion-superpowers/transcribe

Made for: Claude Code.

Or install remotion-superpowers, the plugin that ships this one along with the rest of its 15 skills, 3 agents, 2 hooks, 5 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/transcribe/github.svg)](https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/transcribe)

Your own site

<a href="https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/transcribe"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/transcribe/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dojocodinglabs/remotion-superpowers/transcribe"><img src="https://agentmods.dev/badge/skills/dojocodinglabs/remotion-superpowers/transcribe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,666 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00075	$0.01666
Opus 5.5	$0.00030	$0.00666
Sonnet 5.5	$0.00015	$0.00333
Haiku 4.5	$0.00007	$0.00167

Measured 9d ago against content hash 4ccdf93175a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

transcribe scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/transcribe/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Transcribe: Audio/Video to Text

You are helping the user transcribe audio or video files into text with precise timestamps.

Load the remotion-production skill for the captions-workflow rule (both routes, including the Scribe script), and the official remotion-captions skill. For the Scribe route, also load the official ElevenLabs speech-to-text skill. The official skills win on any API detail.

Workflow

1. Identify the Source File

Find audio/video files to transcribe:

ls public/ public/footage/ 2>/dev/null | grep -E '\.(mp3|wav|m4a|ogg|mp4|mov|webm)$'

Ask the user which file to transcribe if multiple exist. Transcribe each source file separately, and keep its timestamps relative to the start of that file.

2. Transcribe to Word-Level JSON

Every route below produces the same thing: a Caption[] with one entry per word, saved as public/<source>.captions.json (e.g. vo-scene1.captions.json). The SRT and plain-text outputs in step 4 are generated from it.

Route	Use it when	Runs
A. Official whisper-webgpu (default)	A compatible GPU is available	Locally, free, no key
B. ElevenLabs Scribe (fallback)	whisper-webgpu can't run: no GPU, CI, Linux arm64, many VMs	In the cloud, paid, needs `ELEVENLABS_API_KEY`

Route A: whisper-webgpu

Follow official remotion-captions/transcribe-captions.md. It writes a Node script using @remotion/whisper-webgpu (canUseWhisperWebGpu, downloadWhisperModel, loadWhisperModel, transcribe, then toCaptions({ whisperWebGpuOutput })) that decodes audio or video with Mediabunny and saves Caption JSON. small.en is the default model for English. For other languages, use a multilingual model and pass language: there's no auto-detect. If canUseWhisperWebGpu() reports no support, switch to Route B.

Route B: ElevenLabs Scribe

Transcribe with Scribe v2 (timestamps_granularity: "word") and convert with elevenLabsTranscriptToCaptions() from @remotion/elevenlabs (npx remotion add @remotion/elevenlabs). The script is in the captions-workflow rule.

If ELEVENLABS_API_KEY isn't set, run npx -y @elevenlabs/cli@latest onboard init from the project root. Never ask for the key in chat.
It sends the audio to ElevenLabs and costs credits, so tell the user first.
It takes video files directly, auto-detects the language (or pass language_code), and accepts keyterms for names it might mishear (official speech-to-text skill).

Read the full file on GitHub · 127 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago First seen · 127 lines · 75 tokens per session scan A 4ccdf93175a5

Subscribe to this mod's changes

transcribe is a skill published in the GitHub repository DojoCodingLabs/remotion-superpowers (157 stars, last pushed 8d ago), licensed MIT. It adds 75 tokens to every session and 1,666 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-28.

Claude Code Creative and media ai-image ai-video anthropic captions claude-code-plugin

transcribe next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
transcribeDojoCodingLabs/remotion-superpowers	Skill	157	8d ago	MIT	A	75	Claude Code
higgsfield-comic-to-videopixelab-ch/higgsfield-skills	Skill	12	5mo ago	MIT	A	132	Claude Code
higgsfield-anime-actionpixelab-ch/higgsfield-skills	Skill	12	5mo ago	MIT	A	160	Claude Code
higgsfield-product-360pixelab-ch/higgsfield-skills	Skill	12	5mo ago	MIT	A	102	Claude Code
higgsfield-music-videopixelab-ch/higgsfield-skills	Skill	12	5mo ago	MIT	A	88	Claude Code
higgsfield-ecommerce-adpixelab-ch/higgsfield-skills	Skill	12	5mo ago	MIT	A	112	Claude Code
higgsfield-brand-storypixelab-ch/higgsfield-skills	Skill	12	5mo ago	MIT	A	99	Claude Code