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 …

Feb 4, 2026 · Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.

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...

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, …

Aug 31, 2025 · Whether you are indexing archives, building a compliance pipeline, or simply need to search inside scanned lecture notes, docTR gives you Google-level quality without the vendor lock-in …

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...

docTR demo - a React app with TJFS backend for document processing

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. - doctr/doctr at main · mindee/doctr

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 …