Cloud Vision documentation

Cloud Vision documentation

Overview

Training and tutorials

Code samples

Videos

Cloud Vision allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content.

• Need a customized solution? Vertex AI lets you train an AutoML model or custom model for computer vision objectives like image classification and object detection.
• Building a mobile device app? Try ML Kit for Firebase, which provides platform-specific Android and iOS SDKs for using Cloud Vision services, as well as on-device ML Vision APIs and on-device inference using custom ML models.

Guides

• Set up the Vision API

• Quickstarts: Quickstart: Detect labels in an image by using client libraries or Quickstart: Detect labels in an image by using the Cloud Vision API

• Detect text in images

• Detect text in files (PDF/TIFF)

• Detect handwriting in images

• Detect faces

• More  

Reference

• gcloud vision command-line

• REST API

• RPC API

• More  

Resources

• Pricing

• Quotas and limits

• Release notes

• Languages

• More  

Training and tutorials

Try Vision tutorials, courses, and self-paced training from Google Cloud Skills Boost.

Tutorial

OCR tutorial

Learn how to perform optical character recognition (OCR) on Google Cloud Platform. This tutorial demonstrates how to upload image files to Google Cloud Storage, extract text from the images using the Google Cloud Vision API, translate the text using the Google Cloud Translation API, and save your translations back to Cloud Storage.

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Walkthrough

Create a simple Hello, World! function in the console

Quickly deploy your first function without any local setup.

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Training

Big data and ML fundamentals

This one-day instructor-led class introduces participants to the big data and machine learning capabilities of Google Cloud. It provides a quick overview of Google Cloud and a deeper dive into the data processing capabilities.

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Tutorial

Detect text in images by connecting Functions, Storage, Vision API, Pub/Sub, and the Translation API

React to Cloud Storage changes with a function that processes an image using the Vision API to extract text and then pass it to other services.

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Codelab

Automated Classification of Data Uploaded to Cloud Storage with the DLP API and Cloud Functions

Automatically classify data uploaded to Cloud Storage using Pub/Sub, Cloud Functions, and the Data Loss Prevention API.

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Code samples

Dive into coding with examples that demonstrate how to use and connect Google Cloud services.

Workflow

Annotating multiple images in a single request and storing output in Cloud Storage

Run offline (asynchronous) detection services and annotation of a large batch of image files using any Vision feature type.

Java Node.js Python Ruby

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Workflow

Setting a storage and processing location for OCR requests

Set a specific region to store and process resources used for an Optical Character Recognition (OCR) request.

C# Go Java Node.js PHP Python Ruby

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Solution

Detecting and blurring offensive image content

Demonstrates using the Google Cloud Vision API and ImageMagick to detect and blur offensive images that get uploaded to a Cloud Storage bucket.

Node.js Python Go Java

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Solution

Translating and speaking text from a photo with glossaries (Advanced)

Use Vision API, Translation API, Text-to-Speech API to detect text in an image, personalize translations, and generate synthetic speech from the translated text.

Python

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Solution

Detect text in an image (OCR) and draw a border around the found text

Use Vision API to identify text in an image, and then annotate an image based on the text that is detected.

Python

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Videos

Try Cloud Vision for yourself

Create an account to evaluate how our products perform in real-world scenarios.
New customers also get $300 in free credits to run, test, and deploy workloads.

Try Cloud Vision free