為任何影片加字幕
只要三次 API 呼叫

const API = 'https://autostud.ai/api/v1'
const KEY = process.env.AUTOSTUD_API_KEY

const call = async (path, body) => {
  const response = await fetch(API + path, {
    method: body ? 'POST' : 'GET',
    headers: {
      Authorization: `Bearer ${KEY}`,
      'Content-Type': 'application/json',
    },
    body: body ? JSON.stringify(body) : undefined,
  })

  const payload = await response.json()
  if (!response.ok) throw new Error(payload.error?.message || response.statusText)
  return payload
}

// 1. A video project to hang the timeline on.
const created = await call('/actions/videos.create', {
  video_name: 'Interview clip',
  video_type_id: 'timeline',
  video_format: 'portrait',
  video_lang: 'en',
})
const video_id = created.data.video_id

// 2. Transcribe, emphasise, style — one call.
const subtitled = await call('/actions/subtitles.generate', {
  video_id,
  media_url: 'https://cdn.example.com/interview.mp4',
  style_preset: 'beast',
  words_per_group: 3,
})
console.log(subtitled.data.word_count, 'words', subtitled.data.duration_seconds, 's')

// 3. Render it.
await call('/actions/renders.create', {
  video_id,
  video_type_id: 'timeline',
  video_format: 'portrait',
})

// 4. Wait for the worker. A webhook is better; this is the short version.
let render
do {
  await new Promise((resolve) => setTimeout(resolve, 15000))
  const list = await call(`/renders?video_id=${video_id}&limit=1`)
  render = list.data[0]
} while (render && ['not_started', 'processing'].includes(render.render_status))

if (render.render_status !== 'done') throw new Error('Render failed')
console.log(render.render_url)

基底網址：https://autostud.ai/api/v1 — 以 `Authorization: Bearer sk_live_…` 驗證。`sk_test_` 金鑰會走完全相同的路徑，並在花費之前停下。

1. 1

   建立 API 金鑰

   後台 → 設定 → API 金鑰。不想自己挑 scope 就選「Automation」預設，它涵蓋影片、算圖與檔案。密鑰只顯示一次。`sk_live_` 會花費，`sk_test_` 驗證整個請求並在寫入前停下。

   curlresponse

   複製

   export AUTOSTUD_API_KEY="sk_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
   
   # What can this key actually do?
   curl https://autostud.ai/api/v1 \
     -H "Authorization: Bearer $AUTOSTUD_API_KEY"

2. 2

   把影片放到一個網址後面

   沒有上傳端點：API 讀的是網址。你的儲存桶、你的 CDN、一個簽名連結 — 只要我們的伺服器抓得到就行。要不要登記到工作區檔案庫是選擇性的，不影響流程。

   curl

   複製

   # The API takes a URL, never a file upload. Anything publicly
   # reachable works: your bucket, your CDN, a signed URL.
   export MEDIA_URL="https://cdn.example.com/interview.mp4"
   
   # Optional: keep a record of it in the workspace library.
   curl -X POST https://autostud.ai/api/v1/assets \
     -H "Authorization: Bearer $AUTOSTUD_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "provider_file_url": "'"$MEDIA_URL"'",
       "provider_file_name": "interview.mp4",
       "file_mime_type": "video/mp4",
       "provider_file_id": "interview-2026-08-18",
       "sync_method": "api"
     }'

3. 3

   建立影片專案

   `videos.create` 會回傳 `video_id`，後面的一切都掛在它底下。帶上 `Idempotency-Key`，重送時會回傳第一次的結果，而不是再開一個專案。

   curlresponse

   複製

   curl -X POST https://autostud.ai/api/v1/actions/videos.create \
     -H "Authorization: Bearer $AUTOSTUD_API_KEY" \
     -H "Content-Type: application/json" \
     -H "Idempotency-Key: interview-2026-08-18" \
     -d '{
       "video_name": "Interview clip",
       "video_type_id": "timeline",
       "video_format": "portrait",
       "video_lang": "en"
     }'

4. 4

   加上字幕

   `subtitles.generate` 在伺服器端一次做完：Whisper 逐字轉寫並對齊，AI 標出要強調的詞，再套上 116 種樣式之一。回應會給你字數、精確長度與偵測到的語言。

   curlresponse

   複製

   export VIDEO_ID="9f0c4e2a-1d6b-4a77-9d51-6b0f2e8c3a4d"
   
   curl -X POST https://autostud.ai/api/v1/actions/subtitles.generate \
     -H "Authorization: Bearer $AUTOSTUD_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "video_id": "'"$VIDEO_ID"'",
       "media_url": "'"$MEDIA_URL"'",
       "style_preset": "beast",
       "words_per_group": 3,
       "enable_emphasis": true,
       "enable_diarization": false
     }'

5. 5

   送出算圖

   `renders.create` 把工作丟到 worker 叢集，並立刻回傳 `render_id`。一次算圖固定 20 點數，不論影片多長。

   curlresponse

   複製

   curl -X POST https://autostud.ai/api/v1/actions/renders.create \
     -H "Authorization: Bearer $AUTOSTUD_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "video_id": "'"$VIDEO_ID"'",
       "video_type_id": "timeline",
       "video_format": "portrait"
     }'

6. 6

   取回 mp4

   訂閱 `render.completed`，完成的網址會帶簽名推給你。想自己拉也行：列出該影片的算圖並讀 `render_status`，直到變成 `done`。

   webhookpollingresponse

   複製

   # Register once, then stop polling.
   curl -X POST https://autostud.ai/api/v1/webhooks \
     -H "Authorization: Bearer $AUTOSTUD_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
       "url": "https://your-app.com/hooks/autostud",
       "events": ["render.completed", "render.failed"],
       "description": "Subtitled videos"
     }'
   # The signing secret comes back once, in this response. Store it.