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