Library Structure ================= .. mermaid:: graph LR manuscript[manuscript] --> Pipeline manuscript --> Stack manuscript --> data manuscript --> detectors manuscript --> layouts manuscript --> recognizers manuscript --> correctors manuscript --> models manuscript --> utils manuscript --> api data --> elements["Page, Element, TextRegion
Table, Cell, Image"] detectors --> detection["YOLO, EAST, PPOCR
RFDETR, Mask2Former"] layouts --> ordering["SimpleSorting
ReadingSorting"] recognizers --> recognition["TRBA, PPOCRRec, TrOCR"] recognizers --> ensembles["MajorityVotingRecognizer
MedoidRecognizer"] correctors --> CharLM models --> registry["Registry and artifact cache"] api --> contracts["Base classes and protocols"] Modules ------- .. list-table:: :header-rows: 1 :widths: 25 75 * - Module or class - Responsibility * - :doc:`Pipeline ` - Runs configured stages and exposes Page snapshots and execution timings. * - :doc:`Stack ` - Composes processors, accumulates detector regions and optionally runs independent detectors in parallel. * - :doc:`data ` - Defines elements, parent-child links, validation, COCO serialization and text output. * - :doc:`detectors ` - Produces configured regions and optional detailed detection results. * - :doc:`layouts ` - Groups, reparents and orders existing regions. * - :doc:`recognizers ` - Recognizes selected text regions and combines independent predictions. * - :doc:`correctors ` - Updates recognized text, including CharLM character substitutions. * - ``models`` - Resolves remote catalogs and manages local model artifacts. * - :doc:`utils ` - Provides image input, geometry, grouping, transformations and visualization. * - ``api`` - Defines stage protocols, base classes and shared artifact-loading behavior. Public entry points ------------------- Import the components you need from their packages: .. code-block:: python from manuscript import Pipeline, Stack from manuscript.data import Page, TextRegion from manuscript.detectors import YOLO from manuscript.layouts import SimpleSorting, ReadingSorting from manuscript.recognizers import TRBA, MajorityVotingRecognizer from manuscript.correctors import CharLM from manuscript import models