If you’re building a digital press, or a digital front end (DFE) to drive a digital press, you want it to be as efficient and cost-effective as possible. As the trend towards printing short runs and personalization grows, especially in combination with increasing resolutions, more colorants and faster presses, the speed and scalability of the raster image processor (RIP) inside that DFE are key factors in determining profitability.
For your digital press to print at speed you’ll need to understand the amount of data that it requires, i.e. its data rate. In this film, Martin Bailey, distinguished technologist at Global Graphics Software, explains how different stages in data handling will need different data rates and how to integrate the appropriate number of RIP cores to generate that much data without inflating the bill of materials and DFE hardware.
Martin also explains that your next press may have a much higher data rate requirement than your current one.
At the beginning of 2020, in what we thought was the run-up to drupa, Global Graphics published a new guide called “Full Speed Ahead: How to make variable data PDF files that won’t slow your digital press”. It was designed to complement the recommendations available for how to maximize sales from direct mail campaigns, with technical recommendations as to how you can make sure that you don’t make a PDF file for a variable data job that will bring a digital press to its knees. It also carried those lessons into additional print sectors that are rapidly adopting variable data, such as labels, packaging, product decoration and industrial print, with hints around using variable data in unusual ways for premium jobs at premium margins.
Well, as they say, a lot has happened since then.
And some of that has been positive. At the end of 2020 several new International Standards were published, including a “dated revision” (a 2nd edition) of the PDF 2.0 standard, a new standard for submission of PDF files for production printing: PDF/X-6, and a new standard for submission of variable data PDF files for printing: PDF/VT-3.
We’ve therefore updated Full Speed Ahead to cover the new standards. And at the same time we’ve taken the opportunity to extend and clarify some of the rest of the text in response to feedback on the first edition.
So now you can keep up to date, just by downloading the new edition!
There are two completely different forms of variable data handling in the Harlequin RIP®, and I’m sometimes asked why we’ve duplicated functionality like that. The simple answer is that it’s not duplication; they each address very different use cases.
But those use cases are not, as many people then expect, “white paper workflows” vs imprinting, i.e. whether the whole design including both re-used and single-use elements is printed together vs adding variable data on top of a pre-printed substrate. Both Harlequin VariData™ and the “Dynamic overlays” that we added in Harlequin version 12 can address both of those requirements.
Incidentally, I put “white paper workflows” in quotes because that’s what it’s called in the transactional and direct mail spaces … but very similar approaches are used for variable data printing in other sectors, which may not be printing on anything even vaguely resembling paper!
The two use cases revolve around who has the data, when they have it, whether a job should start printing before all the data is available, and whether there are any requirements to restrict access to the data.
When most people in the transactional, direct mail or graphic arts print sectors think about variable data it tends to be in the form of a fully resolved document representing all of the many variations of one of a collection of pages, combining one or more static ‘backgrounds’ with single-use variable data elements, and maybe some re-used elements from which one is selected for each recipient. In other words, each page in the PDF file is meant to be printed as-is, and will be suitable for a single copy. That whole, fully resolved file is then sent to the press. It may be sent from one division of the printing company to the press room, or even from some other company entirely. The same approach is used for some VDP jobs in labels, folding carton, corrugated, signage and some industrial sectors.
This is the model for which optimized PostScript, and then optimized PDF, PDF/VT (and AFP) were designed. It’s a robust workflow that allows for significant amounts of proofing and process control at multiple stages. And it also allows very rich graphical variability. It’s the workflow for which Harlequin VariData was designed, to maximize the throughput of variable data files through the Digital Front End (DFE) and onto the press.
But in some cases the variable data is not available when the job starts printing. Indeed, the print ‘job’ may run for months in situations such as packaging lines or ID card printing. That can be managed by simply sending a whole series of optimized PDF files, each one representing a few thousand or a couple of million instances of the job to be printed. But in some cases that’s simply not convenient or efficient enough.
In other workflows the data to be printed must be selected based on the item to be printed on, and that’s only known at the very last minute … or second … before the item is printed. A rather extreme example of this is in printing ID cards. In some workflows a chip or magnetic strip is programmed first. When the card is to be printed it’s obviously important that the printed information matches the data on the chip or magnetic strip, so the printing unit reads the data from one of those, uses that to select the data to be printed, and prints it … sometimes all in less than a second. In this case you could use a fully resolved optimized PDF file and select the appropriate page from it based on identifying the next product to be printed on; I know there are companies doing exactly that. But it gets cumbersome when the selection time is very short and the number of items to be printed is very large. And you also need to have all of the data available up-front, so a more dynamic solution is better.
In other cases there is a need to ensure that the data to be printed is held completely securely, which usually leads to a demand that there is never a complete set of that data in a standard file format outside of the DFE for the printer itself. ID cards are an example of this use case as well.
Moving away from very quick or secure responses, we’ve been observing an interesting trend in the labels and packaging market as digital presses are used more widely. Printing the graphics of the design itself and adding the kind of data that’s historically been applied using coding and marking are converging. Information like serial numbers, batch numbers, competition QR Codes, even sell & use by dates are being printed at the same time as the main graphics. Add in the growing demands for traceability, for less of a need for warehousing and for more print on demand of a larger number of different versions, and there can be some real benefits in moving all of the print process quite close to the bottling/filling/labelling lines. But it doesn’t make sense to make a million page PDF file just so you can change the batch number every 42 cartons because that’s what fits on a pallet.
These use cases are why we added Dynamic overlays to Harlequin. Locations on the output where marks should be added are specified, along with the type of mark (text, barcodes and images are the most commonly used). For most marks a data source must be specified; by default we support reading from CSV files or automated counters, but an interface to a database can easily be added for specific integrations. And, of course, formatting information such as font, color, barcode symbology etc must be provided.
The ‘overlay’ in “Dynamic overlays” gives away one of the limitations of this approach, in that the variable data added using it must be on top of all the static data. But we normally recommend that you do that for fully resolved VDP submissions using something like optimized PDF anyway because it makes processing much more efficient; there aren’t that many situations where the desired visual appearance requires variable graphics behind static ones. It’s also much less of a constraint that you’d have with imprinting, where you can only knock objects like white text out of a colored fill in the static background if you are using a white ink!
For what it’s worth, Dynamic overlays also work well for imprinting or for cases where you need to print graphics of middling complexity at high quality but where there are no static graphics at all (existing coding & marking systems can handle simple graphics at low to medium quality very well). In other words, there’s no need to have a background to print the variable data as a foreground over.
So now you know why we’ve doubled up on variable data functionality!
It goes without saying that the final quality of your printed piece is paramount. But when speed and time constraints are also critical, what can you do to ensure your files fly through the press and still reward you with the quality you expect? Optimizing the images in the piece is a good place to start, but if you’re creating a job with variable data, where there are thousands of pages to print, each with a different image, how do you know what a sensible effective resolution is for those images that will ensure your PDF file doesn’t trip up the print production workflow?
In his latest guide, Full Speed Ahead, how to make variable data PDF files that won’t slow your digital press, Martin Bailey, CTO at Global Graphics Software, advises not to ask the print workflow to do more work than necessary if that doesn’t change the look of the printed result. Images are commonly re-used within a VDP job, so being able to process each image only once and then re-use the result many times can significantly increase the throughput of the digital front end. On the other hand, some images are personal to every recipient and must therefore be processed for every single recipient, slowing the workflow down.
Martin offers the following tips for setting appropriate effective photographic image resolutions:
Aim for 300 ppi, however the most appropriate image resolution for digital presses varies, depending on printing heads, media and screening used.
Bear in mind image content; soft and dreamy images can be sometimes placed at a lower resolution.
Don’t use a higher effective image resolution for photographic images than the output resolution as this is often not productive. The example in Fig 1 below illustrates how easy it is to use an image at several times the required resolution:
Fig 1: The same 12-megapixel (4000 x 3000 px) image placed on the page at three different sizes. Source: Full Speed Ahead, how to make variable data PDF files that won’t slow your digital press.
When an image is placed onto a page the original resolution of that image is largely irrelevant; what matters is how many pixels there are per inch on the final printed page. As an example, if you have a photograph from a 12 MP compact camera it’ll probably be approximately 3000 pixels by 4000 pixels. If that’s placed on the page as 3 inches by 4 inches (7.5 x 10cm) the effective resolution is about 1000ppi (4000/4). That would usually be about three times as much as you need in each dimension.
A variety of tools are available for optimizing image resolution, and some composition tools can also do this automatically. To find out more about the best effective resolution for your images, and to pick up more tips for optimizing your images for variable data printing, download the guide:
Would you fill your brand-new Ferrari with cheap and inferior fuel? It’s a question posed by Martin Bailey in his new guide: ‘Full Speed Ahead – how to make variable data PDF files that won’t slow your digital press’. It’s an analogy he uses to explain the importance of putting well-constructed PDF files through your DFE so that they don’t disrupt the printing process and the DFE runs as efficiently as possible.
Here are Martin’s recommendations to help you avoid making jobs that delay the printing process, so you can be assured that you’ll meet your print deadline reliably and achieve your printing goals effectively:
If you’re printing work that doesn’t make use of variable data on a digital press, you’re probably producing short runs. If you weren’t, you’d be more likely to choose an offset or flexo press instead. But “short runs” very rarely means a single copy.
Let’s assume that you’re printing, for example, 50 copies of a series of booklets, or of an imposed form of labels. In this case the DFE on your digital press only needs to RIP each PDF page once.
To continue the example, let’s assume that you’re printing on a press that can produce 100 pages per minute (or the equivalent area for labels etc.). If all your jobs are 50 copies long, you therefore need to RIP jobs at only two pages per minute (100ppm/50 copies). Once a job is fully RIPped and the copies are running on press you have plenty of time to get the next job prepared before the current one clears the press.
But VDP jobs place additional demands on the processing power available in a DFE because most pages are different to every other page and must therefore each be RIPped separately. If you’re printing at 100 pages per minute the DFE must RIP at 100 pages per minute; fifty times faster than it needed to process for fifty copies of a static job.
Each minor inefficiency in a VDP job will often only add between a few milliseconds and a second or two to the processing of each page, but those times need to be multiplied up by the number of pages in the job. An individual delay of half a second on every page of a 10,000-page job adds up to around an hour and a half for the whole job. For a really big job of a million pages it only takes an extra tenth of a second per page to add 24 hours to the total processing time.
If you’re printing at 120ppm the DFE must process each page in an average of half a second or less to keep up with the press. The fastest continuous feed inkjet presses at the time of writing are capable of printing an area equivalent to over 13,000 pages per minute, which means each page must be processed in just over 4ms. It doesn’t take much of a slow-down to start impacting throughput.
This extra load has led DFE builders to develop a variety of optimizations. Most of these work by reducing the amount of data that must be RIPped. But even with those optimizations a complex VDP job typically requires significantly more processing power than a ‘static’ job where every copy is the same.
The amount of processing required to prepare a PDF file for print in a DFE can vary hugely without affecting the visual appearance of the printed result, depending on how it is constructed.
Poorly constructed PDF files can therefore impact a print service provider in one or both of two ways:
Output is not achieved at engine speed, reducing return on investment (ROI) because fewer jobs can be produced per shift. In extreme cases when printing on a continuous feed (web-fed) press a failure to deliver rasters for printing fast enough can also lead to media wastage and may confuse in-line or near-line finishing.
In order to compensate for jobs that take longer to process in the DFE, press vendors often provide more hardware to expand the processing capability, increasing the bill of materials, and therefore the capital cost of the DFE.
Once the press is installed and running the production manager will usually calculate and tune their understanding of how many jobs of what type can be printed in a shift. Customer services representatives work to ensure that customer expectations are set appropriately, and the company falls into a regular pattern. Most jobs are quoted on an acceptable turn-round time and delivered on schedule.
Depending on how many presses the print site has, and how they are connected to one or more DFEs this may lead to a press sitting idle, waiting for pages to print. It may also delay other jobs in the queue or mean that they must be moved to a different press. Moving jobs at the last minute may not be easy if the presses available are not identical. Different presses may require different print streams or imposition and there may be limitations on stock availability, etc.
Many jobs have tight deadlines on delivery schedules; they may need to be ready for a specific time, with penalties for late delivery, or the potential for reduced return for the marketing department behind a direct mail campaign. Brand owners may be ordering labels or cartons on a just in time (JIT) plan, and there may be consequences for late delivery ranging from an annoyed customer to penalty clauses being invoked.
Those problems for the print service provider percolate upstream to brand owners and other groups commissioning digital print. Producing an inefficiently constructed PDF file will increase the risk that your job will not be delivered by the expected time.
You shouldn’t take these recommendations as suggesting that the DFE on any press is inadequate. Think of it as the equivalent of a suggestion that you should not fill your brand-new Ferrari with cheap and inferior fuel!
The above is an excerpt from Full Speed Ahead: how to make variable data PDF files that won’t slow your digital press. The guide is designed to help you avoid making jobs that disrupt and delay the printing process, increasing the probability of everyone involved in delivering the printed piece; hitting their deadlines reliably and achieving their goals effectively.
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About the author:
Martin Bailey first joined what has now become Global Graphics Software in the early nineties, and has worked in customer support, development and product management for the Harlequin RIP as well as becoming the company’s Chief Technology Officer. During that time he’s also been actively involved in a number of print-related standards activities, including chairing CIP4, CGATS and the ISO PDF/X committee. He’s currently the primary UK expert to the ISO committees maintaining and developing PDF and PDF/VT.
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Standards for variable data printing (VDP) have come a long way since the first work by CGATS to develop a universal delivery format in the late 1990s. In 2010 the International Standards Organization published the PDF/VT standard, marking the first really effective specification for a reliable, vendor-neutral exchange of variable data jobs, both within and between companies.
A special type of the PDF file format, PDF/VT is specifically used for variable data and transactional printing in a variety of environments, from desktop printing to high volume digital production presses. Built on PDF/X, it therefore brings all the advantages of that standard in enforcing best practices for reproducible and predictable color and appearance to the variable data and transactional print worlds.
The industry is gradually realizing its value to improve quality, competitiveness and productivity, and I’ve been working with the PDF/VT Competence Center, especially with Christoph Oeters (Sofha), Paul Jones (Teclyn bv) and Tim Donahue (technical consultant) to produce a new set of Application Notes highlighting the benefits of using PDF/VT and the workflows that it enables.
The Application Notes explain how to make the highest quality and most efficient PDF/VT files to achieve the required visual appearance of a job, so if you develop software to read and write PDF/VT files, for example in composition tools, RIPs, digital front ends and imposition tools, or if you work on print workflow integration, you’ll find the notes really beneficial. They also show how document part metadata can be applied and leveraged for VDP specific production workflows.
Of course, there are wider benefits to using PDF/VT: The adoption of PDF/VT will allow the industry to finally move towards a reliable, vendor-neutral exchange of variable data jobs, simplifying the process of variable data printing significantly.