视觉画布设计
canvas-design
基于设计原则创作静态视觉作品,用于海报与品牌图形。
pipeline-configuration【文档与办公】Configure Docling's standard PDF pipeline options, OCR engines, table structure recovery, accelerators, model artifacts, remote-service gates, and option validation.
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Use this sub-skill when a task needs Docling PDF pipeline tuning rather than a simple conversion call.
PdfPipelineOptions or ThreadedPdfPipelineOptions for InputFormat.PDF.do_cell_matching and TableFormerMode.AcceleratorOptions device/thread settings for CPU, CUDA, MPS, or XPU.artifacts_path, DOCLING_ARTIFACTS_PATH, or docling-tools models download for prefetched model caches.OperationNotAllowed from remote-service components.DocumentConverter.convert, or convert_string: use the conversion sub-skill.from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions
from docling.datamodel.base_models import InputFormat
from docling.datamodel.pipeline_options import PdfPipelineOptions, TableFormerMode
from docling.document_converter import DocumentConverter, PdfFormatOption
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = True
pipeline_options.ocr_options.lang = ["en"]
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = False
pipeline_options.table_structure_options.mode = TableFormerMode.ACCURATE
pipeline_options.accelerator_options = AcceleratorOptions(
num_threads=4,
device=AcceleratorDevice.AUTO,
)
converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options)
}
)
result = converter.convert("input.pdf", max_num_pages=100, max_file_size=20 * 1024 * 1024)
references/options-reference.md for field names, defaults, and validated snippets.references/ocr-and-tables.md for OCR engines and table recovery choices.references/troubleshooting.md for common pipeline failures and fixes.scripts/inspect_pipeline_options.py to print installed option fields/defaults without opening source files.