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AITokenPostKorean, translatedFiled 37 h ago

Thai OCR 83.3 points… Sionic, Siam AI supply · Singapore PoC

Original headline태국어 OCR 83.3점…사이오닉, Siam AI 공급·싱가포르 PoC

Open the sourceReported by TokenPost, tokenpost.kr, 10 November 2026, by 김민준

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Sionic AI’s PepperOCR-VL document-recognition model ranked first on the MDPBench public leaderboard as of Nov. 5 with scores of 92.6 for Korean and 83.3 for Thai, results the company also lists on the model card, though that card’s ranking reference date is September 2026. MDPBench measures how well models extract text and document structure from document images, and the scores reflect evaluation-data performance rather than real-world customer accuracy. The model card states that PepperOCR-VL processes only one document page at a time and does not support multi-page documents or PDF input. The company said the results cover models registered on the public leaderboard.

Muhabbit's AI wrote this summary in its own words from TokenPost's report and translated it from Korean. It can get details wrong, so check the source.

Named in this story

PepperOCR-VL, Sionic AI, MDPBench, Siam AI, Singapore