A method for scanning originals using a scanner, for example a flatbed scanner, said method comprising the steps of: (i) performing a pre-scan using a scanner bed of the scanner, said scanner bed having an extension in the x-direction and in the y-direction, in order to measure an x-extension between a smallest and a largest extension value in the x-direction and to measure a y-extension between a smallest and a largest extension value in the y-direction in respect of each of the originals on the scanner bed , and creating preferably rectangular scanning frames (R1, R2, R3, R4, R5, R6) associated with the originals from the respectively measured extension values, (ii) specifying the scanning frame (R1, R2, R3, R4, R5, R6) with the largest y-extension as the leading frame (R4), (iii) defining as subsequent frames (R3, R5) those scanning frames (R1, R2, R3, R4, R5, R6) which are located with their y-extension at least partially, preferably predominantly, further preferably entirely within a section of the scanning bed which is spanned in the y-direction by the smallest and the largest extension value of the y-extension of the leading frame (R4), (iv) creating an image processing dataset from said section , its leading frame (R4) and its subsequent frames (R3, R5), (v) registering said image processing dataset in a list of image processing datasets, (vi) performing steps (ii) to (v), without taking into account the scanning frames (R1, R2, R3, R4, R5, R6) already existing in an image processing dataset, until all the scanning frames (R1, R2, R3, R4, R5, R6) measured in step (i) are included in an image processing dataset, (vii) capturing image data by scanning the sections of the image processing datasets registered in the list, (viii) cropping the image data of originals from the captured image data along the scanning frames (R1, R2, R3, R4, R5, R6), and (ix) storing the cropped image data of the originals. (i) performing a pre-scan using a scanner bed of the scanner, said scanner bed having an extension in the x-direction and in the y-direction, in order to measure an x-extension between a smallest and a largest extension value in the x-direction and to measure a y-extension between a smallest and a largest extension value in the y-direction in respect of each of the originals on the scanner bed , and creating preferably rectangular scanning frames (R1, R2, R3, R4, R5, R6) associated with the originals from the respectively measured extension values, (ii) specifying the scanning frame (R1, R2, R3, R4, R5, R6) with the largest y-extension as the leading frame (R4), (iii) defining as subsequent frames (R3, R5) those scanning frames (R1, R2, R3, R4, R5, R6) which are located with their y-extension at least partially, preferably predominantly, further preferably entirely within a section of the scanning bed which is spanned in the y-direction by the smallest and the largest extension value of the y-extension of the leading frame (R4), (iv) creating an image processing dataset from said section , its leading frame (R4) and its subsequent frames (R3, R5), (v) registering said image processing dataset in a list of image processing datasets, (vi) performing steps (ii) to (v), without taking into account the scanning frames (R1, R2, R3, R4, R5, R6) already existing in an image processing dataset, until all the scanning frames (R1, R2, R3, R4, R5, R6) measured in step (i) are included in an image processing dataset, (vii) capturing image data by scanning the sections of the image processing datasets registered in the list, (viii) cropping the image data of originals from the captured image data along the scanning frames (R1, R2, R3, R4, R5, R6), and (ix) storing the cropped image data of the originals. <EOS>