Optical Character Recognition (OCR) is the process of turning images that contain text—such as scanned pages, receipts, or photographs—into machine-readable text. What began as brittle rule-based systems has evolved into a rich ecosystem of neural architectures and vision-language models capable of reading complex, multi-lingual, and handwritten documents.
How OCR Works?
Every OCR system tackles three…
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New experimental AI tool helps people explore the context and origin of images seen online.
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Robotics and artificial intelligence are converging at an unprecedented pace, driving breakthroughs in automation, perception, and human-machine collaboration. Staying current with these advancements requires following specialized sources that deliver technical depth, research updates, and industry insights. The following list highlights 12 of the most authoritative robotics and AI-focused blogs and websites to track in 2025.…
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A strong portfolio is often the difference between making it and breaking it. But what exactly makes a portfolio strong? Numerous complicated projects? Slick design? Impressive data visualization? Yes and no. While these are necessary elements for a portfolio to be great, they’re elements so obvious that everyone knows…
Introduction
Vision Language Models (VLMs) allow both text inputs and visual understanding. However, image resolution is crucial for VLM performance for processing text and chart-rich data. Increasing image resolution creates significant challenges. First, pretrained vision encoders often struggle with high-resolution images due to inefficient pretraining requirements. Running inference on high-resolution images increases computational costs and…
Today, we’re releasing the stable version of Gemini 2.5 Flash-Lite, our fastest and lowest cost ($0.10 input per 1M, $0.40 output per 1M) model in the Gemini 2.5 model family. We built 2.5 Flash-Lite to push the frontier of intelligence per dollar, with native reasoning capabilities that can be optionally toggled on for more demanding…
If you're drowning in documents (and let's face it, who isn't?), you've probably realized that traditional OCR is like bringing a knife to a gunfight. Sure, it can read text, but it has no clue that the number sitting next to "Total Due" is probably more important than the one next to "Page 2 of…
