LectuLibre Uses Sliding-Window Chunking to Translate Full Books via Claude API

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AI-powered platform LectuLibre developed a method to translate entire books—EPUBs and PDFs—using Anthropic's Claude large language model without exceeding its token limits. The core challenge was that a 300-page book can surpass 300,000 tokens, while Claude 3 Opus supports a maximum context window of 200,000 tokens. The team built a sliding-window paragraph-chunking algorithm that splits source text into overlapping segments of up to 180,000 tokens, with each new chunk retaining five paragraphs from the previous one to preserve narrative continuity. Translated chunks are then reassembled by removing the overlapping sections, with the entire pipeline managed through FastAPI background tasks. The approach avoids mid-sentence breaks and context loss that plague simpler fixed-boundary splitting methods.

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