Use Case

Translate YouTube Video Transcripts

The Problem

Reaching a global audience requires translating video content into multiple languages. Manual translation is expensive and slow. Auto-generated translations are often inaccurate without a clean source transcript to work from.

The Solution

YouTubeTranscripts.co extracts clean, accurate transcripts that serve as the perfect source for translation. Feed the transcript into translation APIs like Google Translate, DeepL, or an LLM for high-quality translations. Generate multilingual subtitles and localized content from a single video.

Implementation Example

import httpx
from openai import OpenAI

API_KEY = "YOUR_API_KEY"

# 1. Get the original transcript
resp = httpx.get(
    "https://api.youtubetranscripts.co/v1/transcript",
    params={"url": "https://youtube.com/watch?v=VIDEO_ID", "format": "text"},
    headers={"x-api-key": API_KEY},
)
transcript = resp.json()

# 2. Translate with an LLM for high-quality results
client = OpenAI()
translation = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "Translate the following English transcript to Spanish. Maintain natural speech patterns and cultural context."},
        {"role": "user", "content": transcript["text"]},
    ],
)

translated_text = translation.choices[0].message.content
print(f"Original: {len(transcript['text'])} chars")
print(f"Translation: {len(translated_text)} chars")
print(f"\n{translated_text[:500]}...")

Why Developers Choose YouTubeTranscripts.co

Get clean source transcripts for accurate translation

Works with Google Translate, DeepL, and LLM translation

Generate multilingual SRT subtitle files

Support for 30+ source languages

Batch process channels for full localization

Preserve timestamps for multilingual subtitle sync

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