The Unlimited-OCR framework implements a one-shot approach to process extensive documents without truncation. It solves the context window limitations typical of standard vision-language models. This allows researchers to extract text from massive datasets more reliably. Practitioners can now automate high-volume document digitizing without manually splitting files into smaller chunks.