Guides
Text detection, explained and built.
Reference pages rather than blog posts: each one carries a "last verified" date, and the code in the tutorials was run before publishing.
What is text detection? (And how it differs from OCR)
Text detection finds where text is in an image; recognition reads what it says. A plain-language guide to the pipeline, the model families, the outputs and the metrics.
verified 2026-09-05
tutorialText detection with OpenCV: EAST and DB through cv2.dnn
Two complete, runnable scripts. OpenCV's dnn module loads the EAST and DBNet detectors without a deep-learning framework, and wraps their post-processing for you.
verified 2026-09-05
tutorialText detection in Python: EasyOCR, PaddleOCR, docTR and MMOCR compared
The same photograph through four toolkits, with the code, the output format, the detector each one runs, and when to pick which.
verified 2026-09-05
explainerScene text detection models, 2016 to 2026: what changed and what to use
From CTPN's vertical anchors to segmentation detectors and vision-language models. The ideas, in order, with the numbers each paper reported.
verified 2026-09-05
referenceScene text datasets: ICDAR, Total-Text, CTW1500, COCO-Text and the rest
What each benchmark tests, how it is scored, how big it is, and the mistakes that make results incomparable.
verified 2026-09-05