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youtube-transcript-api

youtube-transcript-api

github.com/youtube-transcript-devCreative & media1145 installsUpdated 3w ago
Repository

About youtube-transcript-api

youtube-transcript-api is an API skill for extracting and processing YouTube transcripts, aimed at content workers and developers building LLM pipelines from video. It supports caption retrieval, asynchronous speech recognition for videos without captions, translation, and batch requests.

Key features

  1. 01Extracts a transcript from one video
  2. 02Batches up to 100 videos
  3. 03Runs asynchronous speech recognition without captions
  4. 04Translates transcripts into a chosen language
  5. 05Offers timestamp, paragraph, and word formats

Use cases

  1. 01Create text transcripts from video content
  2. 02Transcribe YouTube videos without captions
  3. 03Translate video transcripts into another language
  4. 04Build batch video-content processing pipelines

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/youtube-transcript-dev/youtube-transcript-api --skill youtube-transcript-api

After installing, type/youtube-transcript-apiin Claude Code to confirm it loaded.

Details

From the project README

YouTube Transcript API Skill

Use this skill when the user wants to extract transcripts from YouTube videos, transcribe videos without captions, translate video content, or process multiple videos in batch.

When to Use

  • User asks to get a transcript/subtitles/captions from a YouTube video
  • User wants to transcribe a YouTube video that has no captions (ASR)
  • User wants to translate a YouTube video transcript to another language
  • User needs to process multiple YouTube videos at once
  • User wants to build an AI/LLM pipeline that uses YouTube video content
  • User wants to repurpose video content into text (blog posts, summaries, etc.)

API Overview

Base URL: https://youtubetranscript.dev/api/v2

Authentication: Bearer token via Authorization: Bearer YOUR_API_KEY

Users can get a free API key at youtubetranscript.dev.

Endpoints
MethodEndpointDescription
POST/api/v2/transcribeExtract transcript from a single video
POST/api/v2/batchExtract transcripts from up to 100 videos
GET/api/v2/jobs/{job_id}Check status of an ASR job
GET/api/v2/batch/{batch_id}Check status of a batch request
Request Fields
FieldRequiredDescription
videoYes (single)YouTube URL or 11-character video ID
video_idsYes (batch)Array of IDs or URLs (up to 100)
languageNoISO 639-1 code (e.g., "es", "fr"). Omit for best available
sourceNoauto (default), manual, or asr
formatNotimestamp, paragraphs, or words
webhook_urlNoURL for async delivery (required for source="asr")
Credit Costs
MethodCostSpeed
Native Captions1 credit5–10 seconds
Translation1 credit per 2,500 chars5–10 seconds
ASR (Audio)1 credit per 90 seconds2–20 minutes (async)

Examples

Basic Transcript Extraction (Python)
import requests

API_KEY = "your_api_key"

response = requests.post(
    "https://youtubetranscript.dev/api/v2/transcribe",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json",
    },
    json={"video": "dQw4w9WgXcQ"}
)

data = response.json()
for segment in data["data"]["transcript"]:
    print(f"[{segment['start']:.1f}s] {segment['text']}")
Basic Transcript Extraction (JavaScript/Node.js)
const response = await fetch("https://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);
Using the Node.js SDK
npm install youtube-audio-transcript-api
import { YouTubeTranscript } from "youtube-audio-transcript-api";

const yt = new YouTubeTranscript({ apiKey: "your_api_key" });

// Simple extraction
const result = await yt.getTranscript("dQw4w9WgXcQ");

// With translation
const translated = await yt.transcribe({
  video: "dQw4w9WgXcQ",
  language: "es",
});

// Batch (up to 100 videos)
const batch = await yt.batch({
  video_ids: ["dQw4w9WgXcQ", "jNQXAC9IVRw", "9bZkp7q19f0"],
});
Basic Transcript Extraction (cURL)
curl -X POST https://youtubetranscript.dev/api/v2/transcribe \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"video": "dQw4w9WgXcQ"}'
Batch Processing (up to 100 videos)
curl -X POST https://youtubetranscript.dev/api/v2/batch \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"video_ids": ["dQw4w9WgXcQ", "jNQXAC9IVRw", "9bZkp7q19f0"]}'
Translation

Add "language": "es" (or any ISO 639-1 code) to get the transcript translated:

curl -X POST https://youtubetranscript.dev/api/v2/transcribe \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"video": "dQw4w9WgXcQ", "language": "es"}'
ASR Transcription (videos without captions)

For videos that don't have captions, use ASR with a webhook:

curl -X POST https://youtubetranscript.dev/api/v2/transcribe \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"video": "VIDEO_ID", "source": "asr", "webhook_url": "https://yoursite.com/webhook"}'

This returns immediately with status: "processing". Results are delivered to the webhook URL when ready. Poll with GET /api/v2/jobs/{job_id} if not using webhooks.

Error Handling

HTTP StatusError CodeDescription
400invalid_requestInvalid JSON or missing required fields
401invalid_api_keyMissing or invalid API key
402payment_requiredInsufficient credits
404no_captionsNo captions available and ASR not used
429rate_limit_exceededToo many requests — check Retry-After header

Important Notes

  • Always ask the user for their API key if they haven't provided one. Free keys are available at youtubetranscript.dev.
  • Omitting the language parameter returns the best available transcript without translation (saves credits).
  • ASR is async — always use a webhook URL or poll the jobs endpoint.
  • Batch endpoint accepts both YouTube URLs and 11-character video IDs.
  • Re-fetching an already-owned transcript costs 0 credits.

Resources

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