{"library":"unstructured-inference","type":"library","category":null,"description":"unstructured-inference provides the core model inference code for layout parsing models used in the Unstructured.IO ecosystem. It enables the extraction of structured content from diverse unstructured documents like PDFs and images, supporting various detection models such as Detectron2 and YOLOX. The library is actively maintained with frequent releases, with the current version being 1.6.6.","language":"python","status":"active","version":"1.6.6","tags":["NLP","OCR","Document Processing","Machine Learning Inference","Layout Analysis","PDF Processing"],"last_verified":"Fri May 22","install":[{"cmd":"pip install unstructured-inference","imports":["from unstructured_inference.inference.layout import DocumentLayout","from unstructured_inference.models.base import get_model"]},{"cmd":"pip install 'git+https://github.com/facebookresearch/detectron2.git@57bdb21249d5418c130d54e2ebdc94dda7a4c01a'","imports":[]}],"homepage":"https://unstructured.io","github":"https://github.com/Unstructured-IO/unstructured-inference","docs":null,"changelog":null,"pypi":"https://pypi.org/project/unstructured-inference/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":100.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/unstructured-inference/compatibility"}}