Manage and Download Videos Automatically with Python: TikTok, YouTube, Facebook

How to Extract Images from YouTube Videos with Python . In this article, we will learn how to extract images or frames from YouTube videos using Python . We will use librariespytubeto download the video andOpenCVto extract frames from the video.

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Preparation

Make sure you have Python installed on your system. Next, install the required libraries with the following command:

pip install pytube opencv-python

Download Videos from YouTube

Use the following code to download videos from YouTube:

from pytube import YouTube

def download_video(url, output_path="."):
yt = YouTube(url)
stream = yt.streams.get_highest_resolution()
stream.download(output_path)
print(f"Video telah diunduh: {stream.default_filename}")
return stream.default_filename

url = "https://www.youtube.com/watch?v=VIDEO_ID"
video_file = download_video(url)

Extract Images from Video

Once the video is downloaded, we can extract images from the video using OpenCV:

import cv2

def extract_frame(video_path, frame_time=5):
cap = cv2.VideoCapture(video_path)
fps = cap.get(cv2.CAP_PROP_FPS)
frame_number = int(fps * frame_time)

cap.set(cv2.CAP_PROP_POS_FRAMES, frame_number)
success, frame = cap.read()
if success:
	output_filename = "frame.jpg"
	cv2.imwrite(output_filename, frame)
	print(f"Frame berhasil disimpan sebagai {output_filename}")
else:
	print("Gagal mengambil frame.")

cap.release()

extract_frame(video_file, frame_time=5)

Using Python and libraries like pytubeandOpenCV , we can easily grab images from YouTube videos. This technique is useful for video analysis, thumbnail creation, or other purposes.

How to Grab the First 10 Seconds of a YouTube Video Using Python

Taking the first 10 seconds of a YouTube video  can be very  useful for  various purposes ,  such as creating  trailers,  previews , or content analysis. In this article, we will discuss how to do it using Python with the help of Pytube and FFmpeg libraries .

Step 1: Installing Required Libraries

First ,  we need to  install  Pytube and FFmpeg libraries . Pytube is used to download videos from YouTube, while FFmpeg is used to trim videos.

pip install pytube

For FFmpeg, you can download it from the official FFmpeg website and follow the installation instructions according to your operating system.

Step 2: Downloading YouTube Videos

Once the library is installed, we can start downloading YouTube videos using Pytube. Here is a sample code:

from pytube import YouTube

# Ganti URL dengan link video YouTube yang ingin diunduh
url = "https://www.youtube.com/watch?v=contoh_video"
yt = YouTube(url)

# Pilih stream dengan kualitas tertinggi
stream = yt.streams.get_highest_resolution()

# Unduh video
stream.download(output_path=".", filename="video_asli.mp4")

Step 3: Cutting the First 10 Seconds

Once the video is successfully downloaded, we can use FFmpeg to cut the first 10 seconds. Here are the commands you can run in the terminal or command prompt:

ffmpeg -i video_asli.mp4 -ss 00:00:00 -t 00:00:10 -c:v copy -c:a copy 10_detik_pertama.mp4

Command explanation:

• -i video_asli.mp4: Input file video.
• -ss 00:00:00: Starting from second 0.
• -t 00:00:10: Video clip duration (10 seconds).
• -c:v copy -c:a copy: Copy video and audio codecs without re-encoding.
• 10_detik_pertama.mp4: Nama file output.

Step 4: Automation with Python

You can also automate this process by combining Pytube and FFmpeg in a single Python script. Here is a sample code:

import os
from pytube import YouTube

url = "https://www.youtube.com/watch?v=contoh_video"
yt = YouTube(url)
stream = yt.streams.get_highest_resolution()
stream.download(output_path=".", filename="video_asli.mp4")

# Memotong 10 detik pertama dengan FFmpeg
os.system('ffmpeg -i video_asli.mp4 -ss 00:00:00 -t 00:00:10 -c:v copy -c:a copy 10_detik_pertama.mp4')

Using  Python ,  Pytube ,  and FFmpeg ,  you can  easily  grab  the first 10 seconds of a YouTube video. This method is very useful for various purposes, such as creating a video trailer or preview. Good luck!

Download Youtube Transcript with Python Code

YouTube transcripts  are  texts that  display all  the words spoken in a video. They are very useful for various purposes, such as content analysis, subtitle creation, or even language learning. In this article, we will learn how to  download YouTube transcripts using Python .

Steps to Download YouTube Transcripts with Python

Here are the steps to download YouTube transcripts using Python :

1.  Required Library Installation :  First , you need to install a  Python library  called youtube-transcript-api. You can install it using pip by running the following command in the terminal or command prompt:
   

   pip install youtube-transcript-api

2. Get YouTube Video ID  : Every  YouTube Video  has a  unique ID which is  present  in the  video URL. For example,  in the URL  https://www.youtube.com/watch?v=VIDEO_ID, VIDEO_ID is the video ID.
   
   
3. Use Python Code to Download Transcripts : Here is an example of Python code to download YouTube transcripts:

   
   from youtube_transcript_api import YouTubeTranscriptApi
   
   # Ganti dengan ID video YouTube yang ingin Anda download transkripnya
   video_id = 'VIDEO_ID'
   
   # Mendownload transkrip
   transcript = YouTubeTranscriptApi.get_transcript(video_id)
   
   # Menyimpan transkrip ke dalam file teks
   with open('transkrip.txt', 'w', encoding='utf-8') as file:
   for line in transcript:
   file.write(f"{line['text']}\n")
   
   print("Transkrip berhasil didownload dan disimpan dalam file transkrip.txt")
   		

4. Run  Python Code :  Save the  above code in a  Python file , for example download_transcript.py, and run the file using  Python . The transcript will be saved in the file transcript.txt.

Downloading  YouTube transcripts using  Python is very  easy with  the help of the youtube-transcript-api library  . By following the steps above, you can quickly get transcripts from YouTube videos and use them for various purposes. Good luck!

Convert Video to Text Free using Python Code

Converting video  to text can be very useful in  a variety of situations ,  such as  transcribing,  content analysis , or even for accessibility purposes. In this article, we will discuss how to  convert video to text for free using Python code .

Steps to Convert Video to Text

1. Installing Required Libraries

First, we  need to install  some  Python libraries  that will help in  the conversion process . The main libraries we will use are SpeechRecognition and moviepy.

pip install SpeechRecognition moviepy

2. Extract Audio from Video

The first step in converting video to text is to extract the audio from the video. We can use a library moviepyto do this.

from moviepy.editor import VideoFileClip

video = VideoFileClip("video.mp4")
audio = video.audio
audio.write_audiofile("audio.wav")

3. Convert Audio to Text

Once we have the audio file, the next step is to convert the audio to text using the library SpeechRecognition.

import speech_recognition as sr

recognizer = sr.Recognizer()
with sr.AudioFile("audio.wav") as source:
audio = recognizer.record(source)
try:
text = recognizer.recognize_google(audio, language="id-ID")
print("Teks yang dihasilkan: " + text)
except sr.UnknownValueError:
print("Google Speech Recognition tidak dapat memahami audio")
except sr.RequestError as e:
print(f"Tidak dapat meminta hasil dari Google Speech Recognition service; {e}")

4. Save Conversion Results

Once the text is successfully generated, we can save it into a text file for further use.

with open("hasil_teks.txt", "w") as file:
file.write(text)

By  following the steps  above,  you can  easily  convert  video to text for free using  Python code . This method is very useful for various purposes, from transcribing to content analysis. Good luck!