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MMOCR
Open-source OCR toolbox for text detection and recognition
Apache-2.0
ABOUT
Extracting text from images, scanned documents, and natural scenes requires specialized models that can handle diverse fonts, layouts, languages, and image quality. Building OCR pipelines from scratch involves complex model architectures for text detection and recognition, dataset preparation, and evaluation benchmarks. MMOCR provides a unified framework with pretrained models, standardized training pipelines, and modular components so developers can deploy production-ready OCR without deep computer vision expertise.
INSTALL
pip install mmocrINTEGRATION GUIDE
1. Detect and recognize text in natural scene images for autonomous driving and robotics
2. Extract structured information from invoices, receipts, and forms for automated data entry
3. Build document digitization pipelines that convert scanned archives into searchable text
4. Develop multilingual OCR systems for global content processing and translation workflows
5. Fine-tune text detection models on custom datasets for specialized domain applications
TAGS
ocrtext-detectiontext-recognitioncomputer-visiondocument-understandingopen-source