White paper
Structured Document Data for Better Language Models: Why Raw PDFs Hurt and What to Do Instead
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White paper
For a decade, every intelligent document processing (IDP) vendor competed, in part, on its own proprietary output format, and every customer absorbed the cost of custom work to consume it. That dynamic is ending.
A new, openly governed document standard is removing the output format as a point of differentiation, and the implications reach every enterprise buyer currently evaluating or renewing an IDP platform.
QKS Group, a vendor-neutral research and advisory firm, has published its independent assessment of this shift. Written by Principal Analyst Kunal Pakhale, the paper examines why ABBYY, a long-standing category leader, chose to sponsor rather than resist the standard, and what that decision signals about where durable advantage in document intelligence now sits.
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The hard part of document intelligence is not the output format. It's reading a messy, real-world document correctly, and standardizing that output layer helps the whole category. When every tool speaks the same language, enterprises stop rebuilding parsers and start competing on what actually matters, like recognition quality, the breadth of documents you can handle, and how you govern the data.
Max Vermeir, Vice President, AI Strategy, ABBYY
