Utilizing generative model in generating summary of long-form content

This invention describes a system for summarizing very long audio content, such as an audiobook, using an AI language model. Because these models have a limit on how much text they can process at once, the system first breaks the audio's transcript into smaller sections. It then summarizes each section, using the summary of the previous section to help summarize the next, eventually combining them into one overall summary. The claims specifically focus on processing transcripts of audio files.

Why it matters: Filed when LLM context windows were a significant constraint, this method of chained summarization remains valuable for extremely long content or cost optimization, even as LLM capabilities have expanded by 2026. Improvements in speech-to-text and text-to-speech technologies also enhance its practical application.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedLLM integration, complex software logic, speech synthesis

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