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.

Provide your Google Vision API key or set the value to rf_key:account (or rf_key:user:<id>) to proxy requests through Roboflow's API.

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.	❌
api_key	str	Your Google Vision API key.	✅
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..	❌

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: Clip Comparison, Florence-2 Model, Morphological Transformation, Google Gemini, LMM, Instance Segmentation Model, Polygon Zone Visualization, Email Notification, Keypoint Visualization, Roboflow Custom Metadata, Camera Focus, Anthropic Claude, Multi-Label Classification Model, Image Threshold, LMM For Classification, Keypoint Detection Model, Anthropic Claude, Email Notification, Reference Path Visualization, Stitch OCR Detections, Camera Focus, Image Slicer, Stability AI Image Generation, Stability AI Outpainting, Stitch Images, Blur Visualization, OpenAI, Roboflow Dataset Upload, Depth Estimation, Google Gemini, CogVLM, Image Preprocessing, Local File Sink, Florence-2 Model, Image Convert Grayscale, Dynamic Crop, Dot Visualization, Triangle Visualization, OCR Model, Crop Visualization, Twilio SMS Notification, Perspective Correction, Twilio SMS/MMS Notification, EasyOCR, Grid Visualization, Google Gemini, Trace Visualization, QR Code Generator, Pixelate Visualization, OpenAI, Camera Calibration, Roboflow Dataset Upload, Webhook Sink, Single-Label Classification Model, Object Detection Model, VLM as Detector, Background Subtraction, Bounding Box Visualization, Contrast Equalization, Halo Visualization, Model Comparison Visualization, Label Visualization, Slack Notification, OpenAI, Circle Visualization, Image Contours, Background Color Visualization, Image Blur, Mask Visualization, VLM as Classifier, Google Vision OCR, Llama 3.2 Vision, Color Visualization, Corner Visualization, Classification Label Visualization, OpenAI, Line Counter Visualization, Ellipse Visualization, Icon Visualization, Model Monitoring Inference Aggregator, Image Slicer, Absolute Static Crop, Polygon Visualization, SIFT Comparison, Stability AI Inpainting, Relative Static Crop, SIFT, CSV Formatter, Text Display
• outputs: Clip Comparison, Morphological Transformation, Email Notification, Detections Stitch, Anthropic Claude, Pixel Color Count, Detections Merge, Reference Path Visualization, Stitch OCR Detections, Camera Focus, Stability AI Image Generation, Stability AI Outpainting, Time in Zone, Roboflow Dataset Upload, Depth Estimation, Detections Transformation, CogVLM, Local File Sink, SAM 3, Dynamic Crop, Time in Zone, Perception Encoder Embedding Model, Moondream2, Dot Visualization, Triangle Visualization, Crop Visualization, PTZ Tracking (ONVIF).md), Twilio SMS Notification, Twilio SMS/MMS Notification, Perspective Correction, Pixelate Visualization, OpenAI, Detections Consensus, Roboflow Dataset Upload, Cache Set, Contrast Equalization, Byte Tracker, Halo Visualization, Model Comparison Visualization, Slack Notification, Byte Tracker, Cache Get, Image Blur, Background Color Visualization, Mask Visualization, Google Vision OCR, Path Deviation, Corner Visualization, Color Visualization, Line Counter Visualization, Icon Visualization, Ellipse Visualization, Velocity, Detections Stabilizer, Stability AI Inpainting, SAM 3, Distance Measurement, Detections Filter, Blur Visualization, Instance Segmentation Model, Florence-2 Model, Google Gemini, LMM, Instance Segmentation Model, Polygon Zone Visualization, Keypoint Visualization, Roboflow Custom Metadata, Detection Offset, Image Threshold, LMM For Classification, Anthropic Claude, Email Notification, Overlap Filter, OpenAI, Detection Event Log, YOLO-World Model, Google Gemini, Image Preprocessing, Florence-2 Model, Time in Zone, Byte Tracker, Seg Preview, Path Deviation, SAM 3, Detections List Roll-Up, Google Gemini, Line Counter, Trace Visualization, QR Code Generator, CLIP Embedding Model, Webhook Sink, Bounding Box Visualization, Label Visualization, OpenAI, Circle Visualization, Size Measurement, Llama 3.2 Vision, Classification Label Visualization, Segment Anything 2 Model, OpenAI, Detections Combine, Detections Classes Replacement, Model Monitoring Inference Aggregator, Line Counter, Polygon Visualization, SIFT Comparison, Text Display

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[ROBOFLOW_MANAGED_KEY, 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>",
    "api_key": "xxx-xxx",
    "language_hints": [
        "en",
        "fr"
    ]
}