QR Code Generator

Class: QRCodeGeneratorBlockV1

Source: inference.core.workflows.core_steps.transformations.qr_code_generator.v1.QRCodeGeneratorBlockV1

Generate a QR code image from a string input (typically a URL).

This block creates a QR code PNG image from the provided text input. It supports various customization options including size control, error correction levels, and visual styling. The generated QR code can be used in workflows where you need to create QR codes for URLs, text content, or other data that needs to be encoded.

The output is a PNG image that can be passed to other workflow blocks such as visualizers or image processing blocks.

Type identifier

Use the following identifier in step "type" field: roboflow_core/qr_code_generator@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
text	str	Text or URL to encode in the QR code.	✅
error_correct	str	Increased error correction comes at the expense of data capacity (text length). Use higher error correction if the QR code is likely to be transformed or obscured, but use a lower error correction level if the URL is long and the QR code is clearly visible..	❌
border	int	Border thickness in modules (default: 4).	✅
fill_color	str	QR code block color. Supports hex (#FF0000), rgb(255, 0, 0), standard names (BLACK, WHITE, RED, etc.), or CSS3 color names..	✅
back_color	str	QR code background color. Supports hex (#FFFFFF), rgb(255, 255, 255), standard names (BLACK, WHITE, RED, etc.), or CSS3 color names..	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to QR Code Generator in version v1.

• inputs: Keypoint Detection Model, OpenAI, Email Notification, VLM as Classifier, Webhook Sink, Google Gemini, SIFT Comparison, SIFT Comparison, Line Counter, Pixel Color Count, Llama 3.2 Vision, LMM, Image Contours, Object Detection Model, Perspective Correction, Twilio SMS Notification, Florence-2 Model, Model Monitoring Inference Aggregator, Florence-2 Model, Instance Segmentation Model, Local File Sink, OpenAI, OCR Model, Clip Comparison, Roboflow Dataset Upload, OpenAI, LMM For Classification, CSV Formatter, Stitch OCR Detections, Template Matching, VLM as Detector, Anthropic Claude, Slack Notification, Roboflow Dataset Upload, Roboflow Custom Metadata, Distance Measurement, CogVLM, Multi-Label Classification Model, Line Counter, Google Vision OCR, Single-Label Classification Model
• outputs: Crop Visualization, Keypoint Detection Model, Ellipse Visualization, VLM as Classifier, Stability AI Inpainting, Stability AI Image Generation, Blur Visualization, Keypoint Detection Model, Pixelate Visualization, Circle Visualization, YOLO-World Model, Model Comparison Visualization, Stability AI Outpainting, Single-Label Classification Model, Bounding Box Visualization, VLM as Classifier, Background Color Visualization, Dominant Color, Llama 3.2 Vision, Image Contours, LMM, Object Detection Model, Label Visualization, Florence-2 Model, Triangle Visualization, Dynamic Crop, VLM as Detector, Detections Stitch, Google Vision OCR, Florence-2 Model, Instance Segmentation Model, Keypoint Visualization, QR Code Detection, OCR Model, Halo Visualization, Multi-Label Classification Model, Corner Visualization, Line Counter Visualization, SmolVLM2, LMM For Classification, CLIP Embedding Model, Time in Zone, Perception Encoder Embedding Model, Template Matching, Dot Visualization, Clip Comparison, Anthropic Claude, Roboflow Dataset Upload, Icon Visualization, Depth Estimation, CogVLM, Polygon Zone Visualization, Stitch Images, Image Slicer, OpenAI, Relative Static Crop, Segment Anything 2 Model, Google Gemini, SIFT Comparison, Buffer, Pixel Color Count, Image Slicer, Gaze Detection, Image Threshold, Perspective Correction, Byte Tracker, Camera Focus, Qwen2.5-VL, Classification Label Visualization, Instance Segmentation Model, Reference Path Visualization, Color Visualization, Barcode Detection, OpenAI, Camera Calibration, Clip Comparison, Roboflow Dataset Upload, Mask Visualization, OpenAI, SIFT, Polygon Visualization, VLM as Detector, Detections Stabilizer, Image Convert Grayscale, Moondream2, Multi-Label Classification Model, Image Blur, Trace Visualization, Absolute Static Crop, Image Preprocessing, Single-Label Classification Model, Object Detection Model

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds QR Code Generator in version v1 has.

Bindings

• input

  • text (string): Text or URL to encode in the QR code.
  • border (integer): Border thickness in modules (default: 4).
  • fill_color (string): QR code block color. Supports hex (#FF0000), rgb(255, 0, 0), standard names (BLACK, WHITE, RED, etc.), or CSS3 color names..
  • back_color (string): QR code background color. Supports hex (#FFFFFF), rgb(255, 255, 255), standard names (BLACK, WHITE, RED, etc.), or CSS3 color names..

• output

  • qr_code (image): Image in workflows.

Example JSON definition of step QR Code Generator in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/qr_code_generator@v1",
    "text": "https://roboflow.com",
    "error_correct": "Low (~7% word recovery / highest data capacity)",
    "border": 2,
    "fill_color": "BLACK",
    "back_color": "WHITE"
}