- Get Started
- Image & Video APIs overview
- Developer kickstart
- SDK quick starts
- Try it!
- MCP servers and LLM tools (Beta)
- VS Code Extension (Beta)
- Video tutorial library
- Programmatic asset management
- Programmatic upload
- Upload programmatically
- Upload with Fetch API
- Create upload presets (Node.js)
- Create upload presets (Console UI)
- Auto upload
- Moderate images with AI
- Use AI to generate image captions
- Upload images in Flutter
- Upload images in Node.js
- Auto-tag images in Node.js
- Upload multiple files in Node.js
- Upload videos in Node.js
- Upload images in Python
- Auto-tag images in Python
- Upload videos in Python
- Upload images in PHP
- Upload images in Go
- Upload assets in a React app
- Upload assets in a Vue.js app
- Drag-and-drop uploads in React
- Upload assets in a Next.js app
- Upload assets with Server Actions
- Upload assets in Svelte
- Upload assets in a SvelteKit app
- Upload assets in a Remix app
- Upload images in Hono
- Use webhooks to remove backgrounds
- Upload images in Laravel
- Interaction with Cloudinary APIs
- Cloudinary SDKs
- Find your credentials
- Configure the JavaScript SDK
- Configure the React SDK
- Configure the Angular SDK
- Configure the Flutter SDK
- Configure Svelte Cloudinary
- Configure the Javascript SDK in Svelte
- Getting started with Cloudinary in Node.js
- Configure the Node.js SDK
- Configure the Python SDK
- Configure the PHP SDK
- Configure the Go SDK
- Configure the Vue.js SDK
- Configure the Next.js SDK
- List images in Next.js
- Lazy load images with Next.js
- Image fallbacks in JavaScript
- Captioning on upload with Node.js
- Delete assets with Node.js
- Manage images in a Django app
- Cloudinary CLI
- Widgets and tools
- Programmatic upload
- Optimization and delivery
- Transformations
- Get started with transformations
- Advanced transformation features
- Text overlay transformations
- Add watermarks in JavaScript
- Complex transformations
- Named transformations
- Named transformations using TX Builder
- Advanced image components
- Trim videos in Node.js
- Splice videos in Node.js
- Zoompan effect
- Video transformations
- Crop and resize images in React
- Crop and resize videos in React
- Crop and resize images in Python
- Remove backgrounds and add drop shadows
- AI generative fill in Next.js
- Color accessibility in JavaScript
- Transformations for social media
- Dev Hints on YouTube
- Dev Hints en Español
- Cloudinary Café Training Sessions
- Programmatic asset management
- Additional onboarding resources
- Guides
- Cloudinary Image
- Product overview
- Image transformations
- Image transformations overview
- Resizing and cropping
- Placing layers on images
- Effects and enhancements
- Background removal
- Generative AI transformations
- Face-detection based transformations
- Custom focus areas
- Transformation refiners
- Animated images
- Transformations on 3D models
- Conditional transformations
- User-defined variables and arithmetic transformations
- Custom functions
- Image optimization and delivery
- Programmatic image creation
- Product Gallery widget
- Media Editor widget
- Image add-ons
- Troubleshooting and tips
- Cloudinary Video
- Product overview
- Cloudinary Video Player
- Video Player features
- Installation and setup
- How to embed the Video Player
- Video Player Studio
- Video Player customization
- Playlists and recommendations
- HLS and MPEG-DASH
- Video Player accessibility
- Video Player advanced features
- Video Player API reference
- Player profiles API reference
- Video config API reference
- Adaptive bitrate streaming
- Video transformations
- Video and audio optimization
- Video transcription
- Video analytics
- Live streaming
- Video add-ons
- Video best practices
- Social media videos
- Upload
- Asset management
- Account management
- Retail and e-commerce
- User-generated content
- Accessible media
- AI in action
- Native mobile
- Add-ons
- Advanced Facial Attributes Detection
- Amazon Rekognition AI Moderation
- Amazon Rekognition Video Moderation
- Amazon Rekognition Auto Tagging
- Amazon Rekognition Celebrity Detection
- Aspose Document Conversion
- Cloudinary AI Background Removal
- Cloudinary AI Content Analysis
- Cloudinary AI Vision
- Cloudinary Duplicate Image Detection
- Google AI Video Moderation
- Google AI Video Transcription
- Google Auto Tagging
- Google Automatic Video Tagging
- Google Translation
- Imagga Auto Tagging
- Imagga Crop and Scale
- Perception Point Malware Detection
- Microsoft Azure Video Indexer
- OCR Text Detection and Extraction
- Pixelz - Remove the Background
- URL2PNG Website Screenshots
- VIESUS™ Automatic Image Enhancement
- WebPurify Image Moderation
- Cloudinary Image
- References
- SDKs
- Release Notes
Android sample projects
Last updated: Aug-31-2025
We've created some sample projects to get you started with integrating Cloudinary into your Android applications.
Android sample app
The sample app demonstrates a variety of Cloudinary features as well as specific features of the Android SDK itself, while showcasing a modern UI design. The app covers:
- Delivery - Delivering your image assets with optimizations and advanced transformations applied.
- Upload - How to handle uploading images to your product environment, including pre-processing or fetching remote content.
- Widgets - How to add both the image and upload widgets available with the SDK.
- Video - Delivering videos with the bundled video player and examples of delivering different video assets.
To get started with the Android sample app, clone the Android SDK and complete the following steps:
-
Open the project from the repository root, a file named
gradle-local.propertiesshould be automatically created (you can manually create it if it's not there). The file should contain a single property with your cloudinary URL, stripped to your cloud name only:cloudinaryUrl=cloudinary://@myCloudNameNoteThis file is ignored by git and should never be checked in. Run
./gradlew clean(gradlew cleanon Windows) from the repository root.Open the Upload Presets configuration in the Cloudinary console and select "Add Upload Preset". Type
android_sampleas the name and click Save, leaving all the fields with their default values.
After completing the steps above, run the build command to build the app and start uploading resources to your Cloudinary product environment.
E-commerce demo app
The Cloudinary e-commerce demo app demonstrates some of the Cloudinary features aimed at e-commerce, shows how to take advantage of existing open source libraries (e.g., Picasso, Glide, Fresco, Imageloader) and integrates them within a functional app.
To learn more, see Introducing the Cloudinary Demo Android App, Part 1.
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