Google Vision OCR

Class: GoogleVisionOCRBlockV1

Source: inference.core.workflows.core_steps.models.foundation.google_vision_ocr.v1.GoogleVisionOCRBlockV1

Detect text in images using Google Vision OCR.

Supported types of text detection:

• text_detection: optimized for areas of text within a larger image.
• ocr_text_detection: optimized for dense text documents.

You need to provide your Google Vision API key to use this block.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
ocr_type	str	Type of OCR to use.	❌
language_hints	List[str]	Optional list of language codes to pass to the OCR API. If not provided, the API will attempt to detect the language automatically.If provided, language codes must be supported by the OCR API, visit https://cloud.google.com/vision/docs/languages for list of supported language codes..	❌
api_key	str	Your Google Vision API key.	✅

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 Google Vision OCR in version v1.

• inputs: Reference Path Visualization, Blur Visualization, Pixelate Visualization, Anthropic Claude, Multi-Label Classification Model, Single-Label Classification Model, LMM, Email Notification, Classification Label Visualization, Llama 3.2 Vision, CSV Formatter, Background Color Visualization, VLM as Detector, Dynamic Crop, Keypoint Visualization, Camera Focus, Mask Visualization, Webhook Sink, Clip Comparison, Image Slicer, Google Vision OCR, Twilio SMS Notification, Absolute Static Crop, Model Monitoring Inference Aggregator, Stability AI Image Generation, Florence-2 Model, Image Blur, LMM For Classification, Florence-2 Model, Roboflow Dataset Upload, CogVLM, Circle Visualization, OCR Model, Grid Visualization, Crop Visualization, Image Convert Grayscale, Image Threshold, Trace Visualization, Polygon Visualization, Triangle Visualization, Stability AI Inpainting, OpenAI, Stitch OCR Detections, Halo Visualization, Dot Visualization, Polygon Zone Visualization, Google Gemini, Local File Sink, Instance Segmentation Model, Roboflow Custom Metadata, OpenAI, VLM as Classifier, Camera Calibration, Slack Notification, Object Detection Model, SIFT, Corner Visualization, Image Contours, Model Comparison Visualization, Stitch Images, Bounding Box Visualization, Line Counter Visualization, Image Slicer, Roboflow Dataset Upload, Keypoint Detection Model, Perspective Correction, Image Preprocessing, SIFT Comparison, Label Visualization, Relative Static Crop, Color Visualization, Ellipse Visualization
• outputs: Classification Label Visualization, Webhook Sink, Background Color Visualization, Dynamic Crop, Cache Get, Mask Visualization, Clip Comparison, Twilio SMS Notification, Google Vision OCR, Segment Anything 2 Model, Detection Offset, Model Monitoring Inference Aggregator, Stability AI Image Generation, LMM For Classification, Florence-2 Model, Image Blur, Cache Set, Roboflow Dataset Upload, CogVLM, Circle Visualization, Crop Visualization, Path Deviation, OpenAI, Stitch OCR Detections, Velocity, Detections Stitch, OpenAI, Pixel Color Count, Label Visualization, Detections Stabilizer, Path Deviation, Line Counter, Time in Zone, Model Comparison Visualization, Bounding Box Visualization, Perspective Correction, SIFT Comparison, Slack Notification, Color Visualization, Ellipse Visualization, Reference Path Visualization, Anthropic Claude, Blur Visualization, Pixelate Visualization, Email Notification, LMM, Llama 3.2 Vision, Instance Segmentation Model, Keypoint Visualization, Time in Zone, Byte Tracker, Florence-2 Model, Detections Filter, Detections Transformation, YOLO-World Model, Trace Visualization, Image Threshold, Triangle Visualization, Polygon Visualization, Stability AI Inpainting, Detections Consensus, Halo Visualization, Dot Visualization, Google Gemini, Polygon Zone Visualization, Detections Merge, CLIP Embedding Model, Local File Sink, Size Measurement, Instance Segmentation Model, Roboflow Custom Metadata, Detections Classes Replacement, Corner Visualization, Roboflow Dataset Upload, Line Counter Visualization, Byte Tracker, Image Preprocessing, Byte Tracker, Line Counter, Distance Measurement

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Google Vision OCR in version v1 has.

Bindings

• input

  • image (image): Image to run OCR.
  • api_key (Union[string, secret]): Your Google Vision API key.

• output

  • text (string): String value.
  • language (string): String value.
  • predictions (object_detection_prediction): Prediction with detected bounding boxes in form of sv.Detections(...) object.

Example JSON definition of step Google Vision OCR in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/google_vision_ocr@v1",
    "image": "$inputs.image",
    "ocr_type": "<block_does_not_provide_example>",
    "language_hints": [
        "en",
        "fr"
    ],
    "api_key": "xxx-xxx"
}