![]() ![]() If you're appending to an existing feature class, skip to step 15.You will receive a warning if these scales do not match, and you will not be able to proceed until they match. When converting to an existing annotation feature class, ensure that the current map scale (or data frame reference scale, if set) matches the reference scale of the existing feature class. Zoom to the scale at which you will normally view the annotation regardless of whether you'll view it in ArcMap or on a hard-copy map.Add the data to your map that will help you determine the best size, placement, and appearance of the labels you want to convert to annotation.If you encounter issues with memory usage while converting labels to annotation, only convert the labels within the displayed extent or use the Tiled Labels To Annotation tool to convert labels to annotation for layers in a map document based on a polygon index layer. To correct this problem, either select a different annotation storage location or change the data frame reference scale or map scale. For your labels to be properly converted to annotation at the same size and position, there must be a match between the data frame reference scale (or current map scale if a reference scale is not set) and the annotation reference scale. This warning message asks you if you want to choose a different storage location. When you convert labels to annotation and specify an existing annotation group or annotation feature class as the storage location, ArcMap will display a warning message if the annotation reference scale does not match either the data frame reference scale (if nonzero) or current map scale (if the data frame reference scale equals zero).If the data frame reference scale equals zero, the annotation reference scale for the new group or feature class is taken from the current map scale. When you convert labels to annotation and specify a new storage location (so that ArcMap creates a new annotation group or annotation feature class for you), the annotation reference scale for the new group or feature class is taken from the data frame reference scale if it is nonzero.For this, the following logic is employed: ![]()
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