Tags » OCR

Translate text from images using Yandex OCR Translator

I was in a need to translate large amount of text from the image and typing it by hand into Google Translate proved very inefficient and clumsy. 172 more words

Resolving Problems

Polar Hero Ottawa

On a cold February morning, Polar Hero descended down on TD Place. I was terrified, when we signed up months ago it seemed just far away that I didn’t have to worry about it. 357 more words

Unseen Non-Fiction Preparation Pack for OCR GCSE Language: Secrets and Lies

Boost students’ confidence in analysing unseen fiction and non-fiction texts with these rich and comprehensive banks of ❶ extracts with ❷ student activities and ❸ exam-style questions. 169 more words

GCSE

OCR GCSE (9-1) Computer Science - Revision Guide

Structured revision guide ensures complete coverage of the examined theory in the OCR GCSE (9-1) Computer Science specification (from 2016).

Topic notes and diagrams are supported by examples and definition boxes, while mind maps provide further visual reinforcement of the key concepts. 65 more words

GCSE

Aristophanes is at his best when he creates comic fantasy out of situations familiar to an Athenian audience

PLAN

Aristophanes best when fantasy made from ordinary Athenian life

Overall, yes, but depends on which play, Lysistrata much more fantastical..Each Athenian audience would have differed. 800 more words

A- Levels

Computer Science: OCR GCSE (9-1) Practice Exams for Component 2

Four practice papers with mark schemes for Component 2 of the OCR GCSE (9–1) specification (first teaching September 2016, examinations from 2018).

Carefully tailored to mimic both the format and style of the Component 2 examination, the papers provide students with the essential exam practice they need. 51 more words

GCSE

Quick look at Text Detection in the Google Vision API

Last week I posted some observations based on using the Computer Vision API (part of the Azure Cognitive Services) in an attempt to read text content from complex images.   836 more words

OCR