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: …

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 …

Apr 20, 2025 · This page provides practical guidance on how to use DocTR (Document Text Recognition) for various document analysis tasks. It covers loading documents, running OCR, …

Jul 9, 2025 · Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.

Aug 31, 2025 · docTR brings research-grade OCR into the realm of “pip install and go”. Whether you are indexing archives, building a compliance pipeline, or simply need to search inside scanned lecture …

Since docTR achieves Optical Character Recognition by first localizing textual elements (Text Detection), then extracting the corresponding text from each location (Text Recognition), the OCR...

Mar 24, 2025 · 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 (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 …

Dec 18, 2024 · docTR is an Apache 2.0 project developed and distributed by Mindee to help developers integrate OCR capabilities into applications with no prior knowledge required.

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 …