Tutorials Microsoft Azure Mastery for .NET Architects

Cognitive Services: Vision, Speech, and Language APIs

On this page

Digital Brains

Azure AI Services (formerly Cognitive Services) are pre-trained models that you can call in your .NET code via simple REST APIs.

1. Key Pillars

- **Vision:** Face recognition, OCR (reading text from images), and content moderation.
- **Speech:** Real-time transcription (Speech-to-Text) and natural-sounding voices (Text-to-Speech).
- **Language:** Sentiment analysis, translation, and key-phrase extraction.

2. Form Recognizer (Document AI)

This is a 'must-know' for enterprise architects. It uses AI to extract structured data (tables, key-value pairs) from PDFs and scans. You can train it on your own forms (e.g., invoices, tax returns) with just 5-10 examples. It's much more reliable than traditional OCR.

3. Architect Insight

Q: "Should I use pre-trained models or build my own?"

Architect Answer: "Always start with **Pre-trained Services**. They represent billions of dollars in R&D and work instantly. Only move to 'Custom Machine Learning' (Azure Machine Learning) if your problem is highly specialized and these services can't achieve your required accuracy."

Questions on this lesson 0

Sign in to ask a question or upvote helpful answers.

No questions yet — be the first to ask!

Microsoft Azure Mastery for .NET Architects
Course syllabus
1. Azure Identity & Governance
2. Azure Web & Compute
3. Azure Databases
4. Networking & Security
5. Messaging & Integration
6. AI & Data Services
7. Monitoring & Hybrid
8. Enterprise Scale & Patterns
Toolliyo Assistant
Ask about tutorials, ebooks, training, pricing, mentor services, and support. I use public site content only—not admin or internal tools.

care@toolliyo.com

Need callback? Share your details