Apps

OCR and Speech-to-Text in Real Apps OCR and speech-to-text are common building blocks for real apps. OCR reads text from images, such as receipts or photos of documents. Speech-to-text turns spoken words into written text, useful for notes, captions, or voice commands. Together, they simplify data entry and improve accessibility in everyday tools. Good results come from choosing the right tool for the task. Some OCR engines work well on clean scans, others handle photos with shadows and perspective. Real-time STT can caption a live meeting, while offline models help with privacy and flaky networks. ...

Natural Language Processing in Everyday Apps Natural Language Processing (NLP) helps apps understand and respond to human language. You may not notice it, but NLP powers many features in your phone and browser, from the moment you type a message to a translated webpage. It acts as a bridge between people and machines, turning words into helpful actions. NLP can run in different places. It may work on your device to protect privacy, or live in the cloud to gain power from larger models. Apps choose the mix based on speed, data use, and what users expect about privacy. ...

Mobile Communication: Networks and Apps Mobile communication blends wireless networks and mobile apps. Your phone connects to cellular networks and Wi‑Fi. Apps use this connection to chat, map routes, work, or stream videos. The result is a smooth experience on the move. Networks have grown from simple voice calls to fast data links. 2G and 3G gave basic data and calls. 4G and LTE made the internet fast enough for apps. 5G adds higher speed, lower delay, and more capacity. Some networks use edge computing to bring services closer to you. As you move, your phone switches to a new cell. This handoff helps keep your connection steady. ...