To implement video streaming using Firebase Storage, you can follow these steps:
Step 1: Set up a Firebase project
First, create a new Firebase project or use an existing one. If you don’t have a Firebase project, visit the Firebase Console and create a new project.
Step 2: Enable Firebase Storage
Go to the Firebase Console, select your project, and click “Storage” in the left-hand menu. Next, click “Get Started” to enable Firebase Storage for your project.
Step 3: Upload the video to Firebase Storage
You can use the Firebase Console, CLI, or SDKs to upload your video file to Firebase Storage. For example, you can create a folder named “videos” and upload your video file (e.g., “my_video.mp4”) to that folder.
Step 4: Generate a download URL for the video
You will need to get the download URL of the video file to stream it in your application.
You can do this programmatically using the Firebase SDKs (for Android, iOS, or Web). You can copy the download URL from the Firebase Console by selecting the video file and clicking the “File location” tab.
Step 5: Stream the video in your application
Once you have the download URL, you can stream the video in your application. Here’s an example of using the download URL to create a video player in an HTML file.
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Video Streaming Example</title>
</head>
<body>
<video controls width="100%">
<source src="https://your-download-url" type="video/mp4">
Your browser does not support the video tag.
</video>
</body>
</html>
Replace https://your-download-url with the download URL of your video file in Firebase Storage.
Please note that Firebase Storage is designed for serving user-generated content and is not optimized for streaming large video files.
If you plan to serve large video files or require advanced features like adaptive bitrate streaming, consider using a dedicated video streaming service like Google Cloud Storage, AWS S3 with CloudFront, or specialized services like Vimeo or JWPlayer.
That’s it.

Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Machine Learning frameworks like PyTorch and Tensorflow is a testament to his versatility and commitment to the craft.