Vision AI automatically detects objects, text, and faces in images, enabling intelligent image processing in your applications.
What is Vision AI?
Vision AI (officially Cloud Vision API) is Google’s pre-trained service for computer vision. The API analyzes images and detects thousands of objects, reads text (OCR), identifies faces and emotions, and filters explicit content.
The service is based on the same machine learning models that Google uses for Image Search and Google Photos. You benefit from years of research without needing to build your own ML infrastructure. Integration is done through simple REST calls or client libraries.
For specialized requirements, AutoML Vision offers the ability to train custom models. This lets you recognize industry-specific or product-specific objects not included in the standard models.
Common Use Cases
Automatic Product Categorization
An e-commerce company uses Label Detection for automatic categorization of product images. Uploaded photos are analyzed and automatically tagged with labels like “clothing”, “outdoor”, “blue”. This speeds up catalog maintenance by 80%.
Document Digitization and OCR
An insurance company digitizes claims with the OCR function. The API recognizes printed and handwritten text in forms. Extracted data flows automatically into the claims system for faster processing.
Content Moderation for User-Generated Content
A social media platform uses Safe Search Detection for automatic content review. Problematic images are flagged before publication. This reduces manual moderation by 90% while achieving higher coverage.
Quality Control in Manufacturing
A manufacturer trains an AutoML Vision model to detect product defects. The camera on the assembly line analyzes each part and identifies scratches, cracks, or color deviations in real-time.
Landmark and Logo Recognition
A travel company uses Landmark Detection for automatic geo-tagging of user photos. Landmarks are recognized and images categorized accordingly. Logo Detection identifies brands in marketing material.
Integration with innFactory
As a Google Cloud Partner, innFactory supports you in integrating Vision AI into your applications: from architecture through custom model training to production optimization.
Contact us for a consultation.
Available Tiers & Options
Vision API
- Pre-trained models
- No ML expertise required
- Fast integration
- Limited customization
AutoML Vision
- Custom model training
- Own object classes
- Edge deployment possible
- Requires training data
Typical Use Cases
Technical Specifications
Frequently Asked Questions
What is Vision AI?
Vision AI (Cloud Vision API) automatically analyzes images and detects objects, text, faces, and explicit content. The service offers pre-trained models for immediate use and AutoML Vision for custom requirements.
What recognition features does Vision AI offer?
Vision AI offers Label Detection (objects), OCR (text recognition), Face Detection, Landmark Detection, Logo Detection, Safe Search (content moderation), Image Properties (colors), and Product Search.
How does Vision AI differ from Document AI?
Vision AI is optimized for general image recognition. Document AI specializes in structured document extraction (forms, invoices, IDs). Vision API suffices for simple OCR, while Document AI is recommended for complex documents.
Can I train custom recognition models?
Yes, with AutoML Vision you can train custom models for image classification or object detection. You need labeled training images. AutoML Vision Edge is available for edge deployment.
How much does using Vision AI cost?
Vision API bills per analyzed image. Label Detection costs approximately 1.50 USD per 1000 images, OCR approximately 1.50 USD per 1000 images. The first 1000 images per month are free.
