How and why we built our own OCR benchmark

▤ Summary

This article explains why the team built its own OCR benchmark for evaluating OCR and OCR-to-RAG pipelines. It compares multiple models and metrics such as CER, WER, BLEU, METEOR, and structural accuracy across different document formats. The piece shows that OCR quality alone is not enough; downstream retrieval and Markdown/structure preservation matter for RAG use cases. It also presents benchmark results for models like DeepSeek-OCR-2 and GLM-OCR and highlights tradeoffs between text accuracy and layout fidelity.

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