mindee doctr: docTR (Document Text Recognition) - GitHub Optical Character Recognition made seamless accessible to anyone, powered by PyTorch What you can expect from this repository: End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word)
docTR documentation - GitHub Pages State-of-the-art Optical Character Recognition made seamless accessible to anyone, powered by PyTorch DocTR provides an easy and powerful way to extract valuable information from your documents:
python-doctr · PyPI Document Text Recognition (docTR): deep Learning for high-performance OCR on documents
docTR API – Optical Character Recognition in Python docTR (Document Text Recognition) is an open-source deep learning-based Optical Character Recognition (OCR) library in Python It provides state-of-the-art text detection and recognition for scanned documents, images, and PDFs
Using DocTR | mindee doctr | DeepWiki This page provides practical guidance on how to use DocTR (Document Text Recognition) for various document analysis tasks It covers loading documents, running OCR, configuring models, and processing results
Exploring docTR — Document OCR with Deep Learning - Medium I tried out docTR, an open-source document text recognition tool that uses deep learning to extract text from scanned documents It’s designed to be easy to use for developers and end users
docTR - a Hugging Face Space by mindee Upload a document image or PDF, and the app will extract and display the text You can choose different models and adjust parameters to improve accuracy
Home · mindee doctr Wiki · GitHub docTR (Document Text Recognition) - a seamless, high-performing accessible library for OCR-related tasks powered by Deep Learning - Home · mindee doctr Wiki
Choosing the right model - docTR documentation - GitHub Pages For a given task, docTR provides a Predictor, which is composed of 2 components: PreProcessor: a module in charge of making inputs directly usable by the deep learning model Model: a deep learning model, implemented with all supported deep learning backends (PyTorch) along with its specific post-processor to make outputs structured and reusable