Quick answer: The youtube-transcript-api is a Python library that lets developers extract transcripts from YouTube videos programmatically. If you don't code, VidText AI does the same thing in your browser — no setup, no API keys, completely free.
What Is the YouTube Transcript API?
The youtube-transcript-api is an open-source Python package that fetches transcript data directly from YouTube's internal caption system. It's not an official Google API — it's a community-built library that reverse-engineers how YouTube delivers captions to the browser.
GitHub: github.com/jdepoix/youtube-transcript-api
PyPI: pypi.org/project/youtube-transcript-api
It's widely used for:
- Building AI summarization pipelines
- Training language models on video content
- Automating transcript extraction at scale
- Research and data collection projects
Installation
`bash
pip install youtube-transcript-api
`
Requires Python 3.7+. No API key needed.
Basic Usage: Get a Transcript
`python
from youtube_transcript_api import YouTubeTranscriptApi
# Get transcript by video ID (the part after ?v= in the URL)
video_id = "dQw4w9WgXcQ"
transcript = YouTubeTranscriptApi.get_transcript(video_id)
# Each entry has text, start time, and duration
for entry in transcript:
print(f"[{entry['start']:.1f}s] {entry['text']}")
`
Output:
`
[0.0s] Never gonna give you up
[2.5s] Never gonna let you down
[5.1s] Never gonna run around and desert you
`
Get Transcript in a Specific Language
`python
# Get transcript in Spanish
transcript = YouTubeTranscriptApi.get_transcript(
video_id,
languages=['es', 'en'] # Try Spanish first, fall back to English
)
`
List All Available Transcripts
`python
from youtube_transcript_api import YouTubeTranscriptApi
transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
for transcript in transcript_list:
print(f"{transcript.language} ({transcript.language_code})")
print(f" Auto-generated: {transcript.is_generated}")
print(f" Translatable: {transcript.is_translatable}")
`
Format Output as Plain Text
`python
from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import TextFormatter
transcript = YouTubeTranscriptApi.get_transcript(video_id)
formatter = TextFormatter()
text_transcript = formatter.format_transcript(transcript)
# Save to file
with open("transcript.txt", "w") as f:
f.write(text_transcript)
`
Format Output as JSON or SRT
`python
from youtube_transcript_api.formatters import JSONFormatter, SRTFormatter
# JSON format
json_formatter = JSONFormatter()
json_output = json_formatter.format_transcript(transcript)
# SRT subtitle format
srt_formatter = SRTFormatter()
srt_output = srt_formatter.format_transcript(transcript)
`
Process Multiple Videos
`python
from youtube_transcript_api import YouTubeTranscriptApi
video_ids = ["VIDEO_ID_1", "VIDEO_ID_2", "VIDEO_ID_3"]
for video_id in video_ids:
try:
transcript = YouTubeTranscriptApi.get_transcript(video_id)
full_text = " ".join([entry['text'] for entry in transcript])
print(f"{video_id}: {len(full_text)} characters")
except Exception as e:
print(f"{video_id}: Failed — {e}")
`
Common Errors and Fixes
| Error | Cause | Fix |
|---|---|---|
| `TranscriptsDisabled` | Creator disabled captions | Skip this video — no workaround |
| `NoTranscriptFound` | No captions in requested language | Try `languages=['en']` or check available languages |
| `VideoUnavailable` | Private, deleted, or age-restricted video | Cannot access — requires authentication |
| `TooManyRequests` | Rate limiting by YouTube | Add `time.sleep(1)` between requests |
| `JSONDecodeError` | YouTube returned unexpected response | Retry — often a temporary issue |
Rate Limits and Restrictions
The youtube-transcript-api does not use an official Google API, so:
- No official rate limit is published, but YouTube may throttle heavy usage
- For large-scale scraping (1000+ videos/day), add delays between requests
- YouTube may block requests from cloud server IP ranges (AWS, GCP, etc.) — run from a residential IP or use proxies
- The library may break when YouTube updates its internal API structure
youtube-transcript-api vs YouTube Data API v3
| youtube-transcript-api | YouTube Data API v3 | |
|---|---|---|
| Official | ❌ Community library | ✅ Official Google API |
| API key required | ❌ No | ✅ Yes (free) |
| Transcript access | ✅ Yes | ❌ No (transcripts not available) |
| Video metadata | ❌ No | ✅ Yes |
| Rate limits | Unofficial/unclear | 10,000 units/day free |
| Stability | May break on YouTube updates | Stable, versioned |
Key insight: Despite being official, the YouTube Data API v3 does not provide transcript data. The community youtube-transcript-api library is the only practical way to get transcripts programmatically.
Not a Developer? Use VidText AI Instead
If you don't write Python code, you don't need the API at all. VidText AI gives you the same transcript data through a simple web interface:
- Paste any YouTube URL
- Get the full timestamped transcript in seconds
- Download as .txt or copy to clipboard
- No setup, no API keys, no Python required
- Free, no sign-up needed
For one-off transcripts, occasional research, or non-technical users, VidText AI is significantly faster than setting up a Python environment.
Combining youtube-transcript-api with AI
A common developer workflow:
`python
from youtube_transcript_api import YouTubeTranscriptApi
import anthropic # or openai
# Get transcript
transcript = YouTubeTranscriptApi.get_transcript("VIDEO_ID")
full_text = " ".join([t['text'] for t in transcript])
# Summarize with AI
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-opus-4-5",
max_tokens=1024,
messages=[{
"role": "user",
"content": f"Summarize this YouTube transcript in bullet points:\n\n{full_text}"
}]
)
print(response.content[0].text)
`
VidText AI does this entire pipeline in one click — no code required.
Frequently Asked Questions
Is youtube-transcript-api free to use?
Yes. It's open-source (MIT license) and requires no API key or payment. You only pay for the AI models you call separately.
Does it work with auto-generated captions?
Yes. It fetches both manually uploaded transcripts and YouTube's auto-generated captions.
Can I use it in production?
Yes, but be aware it's not an official Google API. YouTube could change its internal structure at any time, which would break the library until the maintainer pushes an update.
What's the difference between youtube-transcript-api and youtube_transcript_api?
Same thing — youtube-transcript-api is the package name on PyPI, while youtube_transcript_api is the Python import name (hyphens become underscores in Python imports).
Related Guides
- How to Get a YouTube Transcript (Free & Fast)
- YouTube Video Converter: Convert Any Video to Text
- How to Extract Subtitles from YouTube Videos Free
- YouTube Caption Downloader: Save Subtitles Free
Conclusion
The youtube-transcript-api Python library is the go-to solution for developers who need to extract YouTube transcripts programmatically. Install with pip install youtube-transcript-api, call YouTubeTranscriptApi.get_transcript(video_id), and you have the full transcript in seconds. For non-developers, VidText AI provides the same result through a free, no-code web interface.