- Get Started
- Programmable Media overview
- Developer kickstart
- SDK quick starts
- Try it!
- Video tutorial library
- Programmatic asset management
- Programmatic upload
- Upload programmatically
- Create upload presets
- Auto upload
- Auto-tag assets
- Moderate images with AI
- Upload images in Flutter
- Upload images in Node.js
- Upload multiple files in Node.js
- Upload videos in Node.js
- Upload images in Python
- Upload videos in Python
- 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
- Use webhooks to remove backgrounds
- Interaction with Cloudinary APIs
- Cloudinary SDKs
- Find your credentials
- Configure the JavaScript SDK
- Configure the React SDK
- Configure the Flutter SDK
- Configure Svelte Cloudinary
- Configure the Javascript SDK in Svelte
- Configure the Node.js SDK
- Configure the Python SDK
- Configure the Go SDK
- Configure the Vue.js SDK
- Configure the Next.js SDK
- List images in Next.js
- Captioning on upload with Node.js
- Delete assets with Node.js
- Manage images in a Django app
- Cloudinary CLI
- Widgets
- Administration
- Programmatic upload
- Optimization and delivery
- Transformations
- Get started with transformations
- Advanced transformation features
- Text overlay transformations
- 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
- Programmatic asset management
- Additional onboarding resources
- Guides
- Upload
- Transform and customize
- Image transformations
- Image transformations overview
- Resizing and cropping
- Placing layers on images
- Effects and enhancements
- Generative AI transformations
- Face-detection based transformations
- Custom focus areas
- Animated images
- Transformations on 3D models
- Conditional transformations
- User-defined variables and arithmetic transformations
- Custom functions
- Video transformations
- Eager and incoming transformations
- Media Editor widget
- How are transformations counted?
- Add-ons
- Image transformations
- Optimize and deliver
- Manage and analyze
- Video
- User-generated content
- 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 (Beta)
- 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
- References
- SDKs
- Release Notes
Last updated: Jun-25-2024
You can use Cloudinary to dynamically generate an image from a given textual string using the text
method of the Upload API. For example, to create an image from the text string "Hello World":
Optional parameters
You can also optionally include various font, color and style parameters that can be specified to customize the look & feel of the text based image. For a full listing of the possible optional parameters available for the text
method, see the Upload API reference.
For example, to create an image of the text string "Sample Name" in 12 point, black, Arial font with 90% opacity, and the public ID of "dark_name":
The resulting image will also include all the styling information stored as metadata, which means the resulting image can be referred to as a "text style" base for creating text overlays on the fly. See the documentation on Text style images for more information.
Response
The API call returns a JSON response including the URLs for accessing the generated image through a CDN, the assigned public ID and the current version of the resource.
For example:
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