Building an End-to-End OCR Pipeline with Baidu's Unlimited-OCR for High-Resolution and Multi-Page PDFs

A new technical guide details how to construct a production-ready OCR pipeline using Baidu's Unlimited-OCR library, specifically targeting high-resolution image inputs and multi-page PDF parsing — two scenarios where many open-source OCR tools degrade significantly. The walkthrough covers pipeline architecture from ingestion through text extraction and post-processing, making it directly actionable for developers building document understanding systems. Unlimited-OCR's ability to handle high-resolution inputs without tiling artifacts or context loss is a meaningful differentiator for document-heavy applications in legal, finance, and enterprise data extraction. This is particularly relevant for teams assembling RAG pipelines or knowledge bases that depend on accurate structured extraction from heterogeneous document types. Developers evaluating OCR components should test Baidu's tooling alongside Marker 2 and other recent entrants given the active competitive landscape.
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