The fastest non-VLM parser that preserves document structure: tables, headings, lists is OpenDataLoader PDF.

šŸš€ The developers found room to improve on latency, so we profiled. We initially expected the sorting algorithm (XY-Cut++) to be the bottleneck, but it turned out to be less than **1% **of the tota...

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The fastest non-VLM parser that preserves document structure: tables, headings, lists is OpenDataLoader PDF.

Source: DEV Community

šŸš€ The developers found room to improve on latency, so we profiled. We initially expected the sorting algorithm (XY-Cut++) to be the bottleneck, but it turned out to be less than **1% **of the total time. The real cost was hiding in content filtering (55%) and preprocessing (25%). šŸ–‡ļø3 fixes applied šŸ’„Page-level parallel processing šŸ’„Hidden text detection → opt-in šŸ’„Text-only fast path šŸ’¢Output is byte-for-byte identical before and after optimization. Only the speed changed results stay the same. šŸ–‡ļøOpenDataLoader PDF highlights šŸš€#1 in latency šŸ„‡(585 pages in 1.10s) šŸ—ƒļø#1 in memory efficiency šŸ„‡(7.4MB) šŸ’¢Java Ā· Python Ā· Node.js SDK šŸ’¢Multiple output formats (text, markdown, HTML, JSON, PDF) Check out the benchmark below for latency and memory usage results. See the PR for full details on what changed and how we got here. We'd love your feedback if you try it out! GitHub: http://github.com/opendataloader-project/opendataloader-pdf?utm_source=x&utm_medium=social&utm_campaign=per

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