If an organization has high-quality labeled data and sufficient time and resources to train custom AI models, AutoML is often the best choice.
However, when data, expertise, or infrastructure is limited, Google Cloud pretrained AI APIs offer a fast, cost-effective, and reliable alternative.
Google Cloud provides a wide range of pretrained AI APIs that can be used directly without custom model training. These APIs allow developers and organizations to quickly add artificial intelligence and machine learning capabilities to their applications.
✅ Key Benefit: These APIs can be used directly without custom training, saving time and resources while enabling advanced AI functionality.
| Pretrained AI API | Description |
|---|---|
| Vision API | The model can read text embedded in the images, including handwritten ones, classify and label images, and detect objects |
| Video API | Detect objects, actions, and scenes in videos; perform video intelligence. Ex: Identify all the Chevrolet cars that have passed through a Exit. |
| Natural Language API | Understand and analyze text with sentiment analysis, entity recognition, etc. |
| Translation API | Translate text between over 100 languages. |
| Text-to-Speech API | Convert written text into natural-sounding speech. |
| Speech-to-Text API | Convert spoken language into written text. Example: You tube, where videos are automatically captioned |
| Dialogflow | Build conversational interfaces and chatbots. |
| Document API | Extract structured data and insights from unstructured documents. |
These pretrained APIs can be used directly without custom training.
✅ One Use Case of Google Cloud Vision API
A company wants to automate its expense reporting process. Employees will upload photos of their receipts, and the system needs to read the text from these images to extract details like the vendor name, date, and total amount.
How It Works
- The image is sent to the Google Cloud Vision API via API call.
- Google analyzes the image and one of the key feature of the model is OCR (Optical Character Recognition) which allows it to read text within Image.
- Extracted data is structured and automatically added to the expense reporting system.
This process reduces manual data entry, improves accuracy, and saves significant time and resources.
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