
Captionseasy
io.github.Ishaan-Gpt由 GitHub 帳號 Ishaan-Gpt 發布v0.1.1更新於 Oct 24, 2026
99 designed animated caption looks for AI video editors: list, inspect and build styled captions.
概覽
一個本機 MCP 伺服器,讓助理瀏覽 99 種動畫字幕樣式,並把帶時間戳記的詞轉成經驗證的 Remotion 字幕屬性。
- 可以做什麼
- 列出並搜尋 99 種設計好的字幕樣式,或依編號或 id 檢視某個樣式的預設值和可調控制項。依帶時間戳記的詞和樣式產生可直接算繪的字幕屬性,並依該樣式驗證樣式與節奏覆寫項。安裝選用的算繪附加套件後,可從本機影片檔算繪出帶字幕的成品或透明字幕疊加層。安裝選用的轉寫附加套件後,可用本機 Whisper 模型把本機影片轉寫成帶時間戳記的詞。
- 適用情境
- 當你已有詞級時間戳記,或有影片需要轉寫,並希望為 Remotion 時間軸或成品影片取得帶樣式的動畫字幕,而不想逐一研究原始樣式設定時適用。
- 執行需求
- 透過 stdio 在本機執行,通常以 npx 啟動,因此需要 Node.js 和 npm。無需帳號、API 金鑰或環境變數。影片算繪和轉寫是需另行安裝的選用附加套件;算繪還會下載無頭 Chrome,轉寫會下載語音模型。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Captionseasy,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
captionseasy
[npm] [downloads] [GitHub stars] [license]
Bring your words, get styled captions. CaptionsEasy is a caption style layer for developers and AI editing agents: 99 designed, animated caption looks, a validator that turns timed words + a look into ready-to-render caption props, the React/Remotion components that draw them, a CLI and an MCP server.
- Tiny and dependency-free.
npm i captionseasyadds one package, about 1.6 MB, with zero runtime dependencies. - Designed looks, not settings soup. Every look has a permanent number (
#12 Jumping Box,#105 Classic Subtitle). Each look lists the few controls it really responds to. Anything else is rejected with a clear error instead of silently doing nothing. - Agent-ready. Every CLI command has
--json. The MCP tools take JSON and return JSON. - Runs 100% locally, free. No servers and no API keys. Rendering and speech-to-text are optional add-ons that also run on your machine.
30-second quickstart
You already have word timings, for example from your editor, your ASR or your agent:
props.json holds { doc, style, settings }, validated and complete. Render it with the CaptionsEasy composition in your own Remotion timeline (see Use the props in Remotion). If you would rather get a finished video file, add rendering.
Library
Errors are CaptionsEasyError objects with a stable code: UNKNOWN_LOOK, BAD_OVERRIDE, BAD_SETTINGS, BAD_WORDS, BAD_ARGS, FILE_NOT_FOUND, ADDON_MISSING, NO_AUDIO, NO_VIDEO, TRANSCRIBE_FAILED or RENDER_FAILED. The details field carries machine-readable context, such as the valid keys, the allowed range or the install command.
Overrides can be flat dot paths ({"active.color": "#FF3366"}) or nested objects. Colours can be written as #RGB, #RRGGBB, #RRGGBBAA, rgb()/rgba()/hsl(), or a basic name.
A control with dependsOn only works once another key is set:
- Harmless switches (outline, shadow, glow, background, gradient) are turned on for you, with a warning.
- Switches that change the motion are never turned on for you; you get an error saying what to set.
Use the props in Remotion
captionseasy/remotion exports the same composition the CaptionsEasy studio uses. Its peer dependencies are react and remotion (^4.0.484).
CaptionsEasyCompositions registers both compositions (CaptionedVideo, CaptionsOverlay). Fonts load from Google Fonts while rendering (free, no key).
CLI
MCP server
The tools are list_looks, describe_look, build_captions, caption_video and transcribe. All take JSON and use local file paths.
build_captionsworks with the core package alone.caption_videoandtranscribeneed their add-on. Without it they returnADDON_MISSINGwith the exact install command.
To add it to Claude Code:
For Cursor (~/.cursor/mcp.json), Claude Desktop, or any client that takes the usual shape:
On Windows, if your client cannot start npx directly, use "command": "cmd", "args": ["/c", "npx", "-y", "captionseasy", "mcp"].
Optional: rendering (captionseasy-render)
- Burn mode writes an H.264 MP4 with the original audio.
- Overlay mode writes ProRes 4444
.movor VP9.webm, both with an alpha channel, at the video's size and length. - The add-on ships the composition pre-bundled, so no webpack runs on your machine. It uses the ffmpeg that comes with Remotion.
Optional: transcription (captionseasy-transcribe)
No word timings yet? This add-on runs Whisper locally, using whisper-base with word timestamps through transformers.js on onnxruntime-node.
- onnxruntime-node ships prebuilt binaries, so nothing is compiled.
- The add-on is about 540 MB installed, plus a speech model downloaded once into your user cache (about 200 MB for English, about 77 MB for Hinglish).
With both add-ons installed, captionseasy talk.mp4 --look 12 transcribes and renders in one step.
JSON shapes
Licences
- captionseasy: MIT (see LICENSE).
- Rendering uses Remotion. Remotion is free for individuals and for companies of up to 3 people; larger companies need a Remotion company licence. This applies whether you render with
captionseasy-renderor render the components in your own Remotion project. - Speech models (transcribe add-on): OpenAI Whisper (MIT), via
onnx-community/whisper-base_timestamped. The Hinglish model isishaan-g/whisper-hinglish-swift_timestamped. - Fonts: Google Fonts (open licences).
來源:packages/cli/README.md,提交 9dbbb30
工具
0版本歷史
1- v0.1.1最新Oct 16, 2026
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