AI Use Cases in Jetpack Media3 Playback in Android
Media playback on Android has evolved a lot over the years. From the old days to the super flexible and powerful Jetpack Media3, we’ve come a long way.
But what happens when we combine Media3 with the power of AI? In today’s mobile-first world, media playback isn’t just about playing audio or video — it’s about providing a smart, adaptive, and seamless experience. With the rapid evolution of AI (Artificial Intelligence) and Android’s Media3 library, we’re entering a new era of intelligent media apps.
In this blog, we’ll break it down from beginner level to advanced, and also explore how you can use AI in your media apps.
What is Jetpack Media3?
Jetpack Media3 is the unified framework for media playback, editing, and session handling on Android. It replaces older libraries like ExoPlayer and MediaCompat with a single, extensible set of APIs, making it easier to build rich media experiences
It abstracts away device-specific quirks and “fragmentation,” so your code works smoothly everywhere.
Media3 includes key modules for playback (ExoPlayer), media sessions, media editing (Transformer), and UI control
Key Benefits of Media3:
Unified API: Single library for all media playback needs
Better Performance: Optimized for modern Android devices
Enhanced Features: Built-in support for adaptive streaming, DRM, and more
Future-Proof: Regular updates and long-term support from Google
Extending Media3 Features
Playlists & Streaming: Media3 supports playlists, adaptive streaming formats (like HLS/DASH), and even live streaming out-of-the-box
Ad Insertion & DRM: Built-in support for ads and DRM, both client and server-side
MediaSession: Integrate with Android’s OS media controls (like notifications, lock screen, or external controllers)
Background Playback: Use for keeping playback alive even when your app is not in focus
Core Components:
1. ExoPlayer (Now part of Media3)
Think of ExoPlayer as the engine that actually plays your audio or video.
It can play:
MP3 files
Videos (MP4, etc.)
Online streaming (like YouTube-style streaming with HLS or DASH)
Local media files stored in the app or device
You just give it a URL or file path, and it handles all the heavy lifting: buffering, decoding, and playing.
Example:
You can also pause, skip, seek, or control volume — just like any normal media player.
2. MediaSession
Handles interactions like media controls (Play/Pause/Skip) from notifications, Bluetooth, or wearable devices.
Let’s say your app is playing music — but the user presses pause from the notification, or uses a Bluetooth headset button, or even a car’s media controls.
Who handles that?
MediaSession does.
It acts like a bridge between your player (ExoPlayer) and the outside world (system UI, hardware controls, other apps).
Why is this useful?
Lets your app respond to Play/Pause from notification or lock screen
Works with Android Auto, Wear OS, Bluetooth controls, etc.
Gives the system info about “what is playing now”
3. MediaController
Used by client apps to control and interact with the media session.
This is how another app or part of your app can control the media player.
Imagine:
You have a UI that shows a play/pause button
Or a companion app controlling playback on another device
You use MediaController to send commands to the player via MediaSession.
Example:
It’s like a remote control for your media session.
4. Media3 UI Components
Google also gives you ready-made UI layouts for media playback — so you don’t have to design everything from scratch. Pre-built Player UI that looks modern and customizable.
With PlayerView or StyledPlayerView, you get:
A video screen
Play/Pause buttons
Seek bar
Subtitle display
Fullscreen toggle
And it’s customizable too!
If you’re using Jetpack Compose, you can embed the PlayerView using , or build your own custom UI and bind it to the player.
Why Move to Media3?
It’s actively maintained and part of Jetpack.
Works seamlessly with Jetpack Compose and Modern Android Architecture.
Easier to integrate with Foreground Services, Notifications, and Media Browsing.
One consistent API for media playback, capture, and transformation.
What is AI in Media Playback?
AI in media playback means using machine learning models and algorithms to enhance how audio and video content is:
Recommended
Loaded and played
Interacted with by the user
It’s not just about automation — it’s about personalization, efficiency, and predictive intelligence.
Real-World AI Use Cases in Android Media Playback
AI in media apps. Below are actual use cases you can implement using AI models and Media3:
1. Automatic Content Recognition
AI models (on-device or cloud) identify scenes, faces, or music in videos, allowing apps to auto-generate highlights or chapter markers.
2. Ad Targeting and Personalization
AI recommends or inserts contextually relevant ads based on playback history and content analysis, leveraging Media3’s ad support.
3. Real-Time Subtitles and Translation
Use AI-powered ASR (Automatic Speech Recognition) to provide live subtitles in multiple languages, overlaying them using Media3 UI.
4. Adaptive Playback Enhancement
AI adjusts playback speed, brightness, or sound levels on the fly, optimizing for different conditions or for accessibility.
5. Interactive Experiences
Build smart video players that pause playback for Q&A, quizzes, or recommendations using detected video content and user engagement data.
6. Smart Editing with Transformer + AI
Integrate AI video summarization with the Transformer module to let users quickly create shareable highlights or compilations directly on their device.
Any of these can be implemented using a combination of Media3’s APIs and third-party or custom AI models. For example, process video frames using TensorFlow Lite, then instruct Media3 components (like the Transformer) to apply edits or overlays based on the AI model’s output.
Why Media3 is Ideal for AI-driven Media Apps
Flexibility: Highly customizable at every layer, from UI to playback pipeline.
Performance: Optimized for device capabilities and background operations.
Compatibility: Abstracts away OS/fragmentation issues, runs consistently across the Android ecosystem
Smarter Video Editing with Jetpack Media3
Jetpack Media3’s Transformer API lets you create advanced video editing apps straight from your Android device, without needing powerful desktop tools. Here are the highlights:
Multi-Asset Editing: Easily create complex video layouts like 2x2 grids or picture-in-picture overlays. For example, you can combine different video clips into a single frame by customizing how each video should appear and move.
Custom Animation: By overriding methods like , you can even animate between different video layouts—say, moving from multiple clips to one focused clip while the video plays.
Beautiful, Adaptive UIs with Jetpack Compose
You can now build dynamic, adaptive interfaces using Jetpack Compose:
Flexible Layouts: The UI automatically adjusts to the device — whether that’s a phone, foldable, or even Android XR (extended reality) platforms.
Easy Previews and Exports: Users can preview and fine-tune edits on any screen size, making the editing process smoother and more enjoyable.
CameraX: Faster Capture & Real-Time Effects
With CameraX, capturing photos and videos is:
Quick to implement: Add camera preview and photo capture with just a few lines of Kotlin code.
Flexible: Choose the perfect resolution for your needs — select 4:3, 16:9, or other ratios easily.
Customizable: Add instant effects (like black-and-white filters) using Media3’s built-in filter support. Even more impressive, you can create your own unique effects by writing custom graphics code.
AI Meets Media Playback
The next wave of Android media apps is being powered by AI. By connecting Firebase and Vertex AI (with models like Gemini), you can:
Summarize Videos: Ask AI services to watch a video and return a summary or list of main points, making content more engaging and accessible.
Translate and Enrich: Add subtitles, translate spoken words, or provide additional insights — all in real time.
Example: Send a video to Gemini with the prompt, “Summarize this video in bullet points.” The AI watches the video and gives you a concise set of takeaways to show your users.
Advanced Audio: Longer Battery Life
Android 16 introduces audio PCM Offload mode. This feature routes audio playback to a specialized part of your phone, greatly reducing battery drain:
Perfect for audiobooks, podcasts, and background music apps
Developers can check if a device supports offload and activate it for supported files, ensuring everyone gets the most out of their battery.
Implement Firebase Setup & Vertex AI Configuration
First, register your Android app with Firebase:
Step 1. Go to the Firebase Console and create a new project.
Step 2. Inside your Firebase project, go to Project settings → Android apps, add your app’s package name (e.g., ).
Step 3. Download the auto-generated file and place it in your folder.
Step 4. Now, go to the Firebase Console → Build → Firebase AI Logic Then open the Settings tab (gear icon in the top-right).
Inside the AI settings, enable:
Gemini Developer API
Vertex AI Gemini API
Once enabled, you can start using Gemini-powered features like:
Text generation
Smart replies
Image , video & audio understanding (with Vertex AI)
Step 6. In your , add:
Step 7. In your project-level :
This registers your app with Firebase and sets up the library for AI calls.
Step 8. Dependencies You’re Already Using
You’ve included essential libraries:
Step 9. Wiring Media3 Components
Your composable uses ExoPlayer to handle video playback nicely with loading indicators—simple and effective.
In , you build the UI:
Select a video (from URI list or YouTube)
Play it with or the YouTube player
Tap “Summarize” to trigger AI summarization via your ViewModel
Play summary aloud with TTS buttons
This ties media playback, AI processing, and speech output all in one screen.
Step 10. The AI: ViewModel’s getVideoSummary() Logic
Here’s your core AI logic, explained line by line:
Initializes a Vertex AI model named “gemini-2.0-flash” via Firebase.
Builds a request that includes the video file and a prompt like: “Summarize this video as 3–4 bullet points.”
Streams the AI response and accumulates it as text.
Emits the final summary to your UI via StateFlow.
This is how your ViewModel connects the video and AI — easy to understand and powerful.
Project Structure
Here is an overview of the key files and directories in the project:
Demo:
https://youtu.be/mWM-S3s7KEM?si=SwvdpWeq2W-9A3RB
Github code :
https://github.com/anandgaur22/SmartMediaAI
Final Thoughts
Jetpack Media3 is the future-proof way to build both basic and next-generation, AI-powered media apps for Android. Whether you’re a hobbyist or an expert, you can start simple and layer on advanced features as your app grows.
Thank you for reading. 🙌🙏✌.
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Software Engineer | Mobile Application developer | MVVM | kotlin | Java | javascript | React native | MCA from AKTU
2wLove this, Anand
Senior Software Engineer at Mahindra first choice
2wThanks for sharing
Native Android Developer | Kotlin + Jetpack Compose| Firebase | Java Developer | XML | Multi Modular Architecture | Hilt | ExoPlayer | Clean Architecture | MVVM | Final Year CSE Undergrad
3wi went through this project and i loved the way you connected ai with this media 3 using exoplayer .