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무료 유튜브 자막 추출·다운로드·번역 지원, TXT·SRT·VTT·JSON 형식과 타임스탬프 제공, AI 기반 영상 전사
Free YouTube transcript extractor and video to text converter. Extract, download, and translate YouTube transcripts in TXT, SRT, VTT & JSON formats with timestamps. AI-powered transcription for videos
미디어GitHub @Youtube-Transcript-Dev온라인운영자 미확인
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1분 만에 확인하기YouTube Transcript API — Extract, transcribe, and translate YouTube videos at scale. Supports captions, audio transcription (ASR), batch processing, and 100+ languages. https://youtubetranscript.dev
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Most YouTube transcript tools break when videos don't have captions. We don't. Our API extracts existing captions and transcribes directly from audio using AI speech recognition — covering 100% of YouTube videos.
V2 is the streamlined, user-owned transcript model. It prioritizes fast cache hits, consistent responses, and no surprise translations unless you explicitly request a language.
| Method | Endpoint | Description |
|---|---|---|
POST | /api/v2/transcribe | Extract transcript from a single video |
POST | /api/v2/batch | Extract transcripts from many videos (Free 10, Basic 500, Pro 1,500, Business 3,000) |
GET | /api/v2/jobs/{job_id} | Check status of an ASR job |
GET | /api/v2/batch/{batch_id} | Check status of a batch request |
| Method | Cost | Speed | Notes |
|---|---|---|---|
| Native Captions | 1 credit | 5–10 seconds | Best quality, exact language |
| Translation | 1 credit per 2,500 chars | 5–10 seconds | Only when language is requested |
| ASR (Audio) | 1 credit per 90 seconds | 2–20 minutes | Async via webhook |
Sign up at youtubetranscript.dev and grab your API key from the Dashboard.
curl -X POST https://www.youtubetranscript.dev/api/v2/transcribe \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"video": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"}'
curl -X POST https://www.youtubetranscript.dev/api/v2/transcribe \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "dQw4w9WgXcQ",
"language": "es",
"format": {"timestamp": true}
}'
{
"request_id": "80230632-…",
"status": "completed",
"data": {
"video_id": "UF8uR6Z6KLc",
"video_title": "Steve Jobs' 2005 Stanford Commencement Address",
"transcript": {
"text": "This program is brought to you by Stanford University. …",
"language": "en",
"source": "manual",
"segments": [
{ "text": "This program is brought to you by Stanford University.", "start": 7470, "end": 10369 }
]
}
},
"credits_used": 1
}
data.transcript. It's an object, not a list.data.transcript.text is the full text, always included.data.transcript.segments is only included when you send "format": {"timestamp": true}.start and end are in milliseconds. Divide by 1000 for seconds (7470 → 0:07).transcript.language is the language you actually got. transcript.source is manual, auto, or asr.status is completed, processing (async ASR: poll job_id), failed, or requires_asr_confirmation.Up to 10 videos per request on Free, 500 on Basic, 1,500 on Pro, and 3,000 on Business.
curl -X POST https://www.youtubetranscript.dev/api/v2/batch \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video_ids": [
"dQw4w9WgXcQ",
"https://www.youtube.com/watch?v=VIDEO_ID_2",
"VIDEO_ID_3"
]
}'
curl -X POST https://www.youtubetranscript.dev/api/v2/transcribe \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "VIDEO_ID",
"mode": "speech_to_text_only",
"webhook_url": "https://yoursite.com/webhook"
}'
Returns immediately with status: "processing" and a job_id. Results are POSTed to your webhook when ready. No webhook? Leave out webhook_url and poll GET /api/v2/jobs/{job_id}.
| Header | Required | Value |
|---|---|---|
Authorization | Yes | Bearer YOUR_API_KEY |
Content-Type | Yes | application/json |
| Field | Required | Description |
|---|---|---|
video | Yes (single) | YouTube URL or 11-character video ID |
video_ids | Yes (batch) | Array of IDs or URLs. Per request: Free 10 · Basic 500 · Pro 1,500 · Business 3,000 |
language | No | ISO 639-1 code (e.g., "es", "fr"). Omit to get the original language. Check transcript.language for what you got |
format | No | Object of switches: {"timestamp": true, "paragraphs": true, "words": true}. timestamp adds segments |
mode | No | auto (captions, then ASR if none), captions_only, human_captions_only, or speech_to_text_only (always ASR). When omitted, your account default from the dashboard applies |
webhook_url | No | URL that receives ASR results. Optional with mode: you can poll GET /jobs/{job_id} instead |
source / allow_asr | No | Legacy, still supported. Use mode instead (don't combine them) |
webhook_url return immediately with status: "processing"GET /api/v2/batch/{batch_id} until status is no longer processingresults has the same data shape as a single /transcribe responseErrors return JSON like {"error": "invalid_api_key", "message": "…"}.
| HTTP Status | Error Code | Description |
|---|---|---|
| 400 | invalid_request | Invalid JSON or missing required fields |
| 400 | invalid_parameter | Invalid video ID or parameter value |
| 401 | invalid_api_key | Missing or invalid API key |
| 402 | payment_required | Insufficient credits |
| 404 | no_captions | No captions available and ASR not used |
| 429 | rate_limit_exceeded | Too many requests, check Retry-After |
| 500 | internal_error | Server error, retry with backoff |
→ Full API Documentation & OpenAPI Spec
npm install youtube-audio-transcript-api
import { YouTubeTranscript } from "youtube-audio-transcript-api";
const yt = new YouTubeTranscript({ apiKey: "your_api_key" });
// Simple — one line
const result = await yt.getTranscript("dQw4w9WgXcQ");
console.log(result.data?.transcript.text);
// With options
const translated = await yt.transcribe({
video: "dQw4w9WgXcQ",
language: "es",
format: { timestamp: true },
});
// Batch — many videos in one request
const batch = await yt.batch({
video_ids: ["dQw4w9WgXcQ", "jNQXAC9IVRw", "9bZkp7q19f0"],
});
// ASR for videos without captions
const asr = await yt.transcribe({
video: "VIDEO_ID",
source: "asr",
allow_asr: true,
webhook_url: "https://yoursite.com/webhook",
});
import requests
API_KEY = "your_api_key"
# Single video
response = requests.post(
"https://www.youtubetranscript.dev/api/v2/transcribe",
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
},
json={"video": "dQw4w9WgXcQ", "format": {"timestamp": True}},
)
transcript = response.json()["data"]["transcript"]
for segment in transcript["segments"]:
seconds = segment["start"] / 1000 # start is in milliseconds
print(f"[{seconds:.1f}s] {segment['text']}")
const response = await fetch("https://www.youtubetranscript.dev/api/v2/transcribe", {
method: "POST",
headers: {
"Authorization": `Bearer ${API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ video: "dQw4w9WgXcQ" }),
});
const { data } = await response.json();
console.log(data.transcript.text);
Check the /examples directory for complete, runnable scripts:
| Example | Description |
|---|---|
| Basic Extraction | Extract a single video transcript |
| Batch Processing | Process many videos in one request |
| ASR + Webhook | Transcribe videos without captions |
| Translation | Get transcripts in any language |
| Export Formats | Timestamps, paragraphs, plain text and SRT export |
| Node.js Basic | Node.js extraction example |
| cURL Examples | Ready-to-run cURL commands |
Feed video transcripts into GPT, Claude, or any LLM. Build RAG systems, knowledge bases, and AI assistants powered by YouTube content.
Turn YouTube videos into blog posts, social media content, newsletters, and more.
Analyze video content at scale — sentiment analysis, topic modeling, trend detection across thousands of videos.
Extract competitor video strategies, generate SEO-optimized content from videos, and analyze trends across your niche.
Transcribe lectures, courses, and tutorials. Make video content searchable and accessible.
Generate accurate captions and subtitles for videos that don't have them, in 100+ languages.
No coding needed. These open-source Claude skills turn any YouTube video into something you can present, study, or share:
| Skill | What it makes | |
|---|---|---|
| 📊 | youtube-to-case-study | A business, marketing, UX, or growth case-study slideshow |
| 🎓 | youtube-to-course | An interactive course with quizzes and flashcards |
| 💬 | youtube-to-ai-chat | Answers cited to the exact second, plus a shareable chat page |
Install any of them in Claude Code with one line, e.g. /plugin install youtube-to-course --marketplace tstfully/youtube-to-course. More at youtubetranscript.dev/open-source.
The open-source youtube-transcript-api Python package is a great tool, but it has limitations:
| YouTubeTranscript.dev | youtube-transcript-api | |
|---|---|---|
| Videos without captions | ✅ ASR audio transcription | ❌ Fails |
| Translation | ✅ On-demand, any language | ⚠️ Limited to YouTube's translations |
| Batch processing | ✅ Up to 3,000 videos/request | ❌ One at a time |
| Caching | ✅ Owned transcripts, 0 credits on re-fetch | ❌ Fetches every time |
| Webhooks | ✅ Async delivery | ❌ Not available |
| Infrastructure | ✅ Managed API, 99.9% uptime | ❌ Self-hosted, you handle rate limits |
| Rate limit handling | ✅ Managed for you | ❌ YouTube blocks you |
This is the public repository for YouTubeTranscript.dev. The API is proprietary, but we use this repo to collect feedback from our developer community.
How you can help:
The code examples and documentation in this repository are licensed under the MIT License.
The YouTubeTranscript.dev API is a proprietary service. See Terms of Service.