This small webapp is part of the EntoScan project (a toolbox to make use of flatbed scanners to image insects). The code for this webapp is available here .
In order to streamline the imaging process, it is highly recommended to print visible labels so that each sample/specimen/scan is visually tagged. A simple way forward is to generate a set of unique labels that can be printed using a standard printer, either on standard paper or on label paper (i.e. precut sticky labels). We propose that each label is both machine and human-readable (with both a 2D barcode and text). Ideally, labels are identifiers that one can map to metadata rather than a full descriptor of the image (we aim for labels shorter than 20 characters). This tool helps you input a list of label names (e.g., that you can copy-paste from a spreadsheet) and generate a printable PDF with all these labels in a parametric layout.