SCAN.PDF · p.127SCAN
제1장 총론
제목 99.2%
본문 A 98.7%
본문 B 97.4%
각주 96.1%
인식 중99.2%
OCR → 구조화
CHAPTER1.DOCX구조화 완료
§ 제1장 총론
각주 ¹ ² ³
TableFigure
인식 정확도
99.2%
총서 규모
15권 · 890만
지원 형식
PDF · TIFF · JPG
OCR ENGINE · RUNNING99.2% OCR
SCENARIO 02번역
Scanned source manuscripts
PDF / images 鈫?structured editable text
TranslationOCR
Challenge · 核心痛点
Legacy collections, rare academic works, and licensed files arrive as scans. OCR quality is poor, layout is messy, and text interleaves with images鈥攂locking translation or review.
Process · 处理流程
01Format detection
PDF, TIFF, JPG, PNG and other scan formats
02OCR pipeline
Multi-engine fusion, 99%+ accuracy, handwriting fallback
03Structure recovery
Body, footnotes, captions, tables layered with logical structure
04QA delivery
Human sampling plus confidence flags on uncertain regions
Deliverables · 交付内容
Clean editable Word / TXT manuscripts
Source vs. OCR alignment edition
Low-confidence region report
Separate image / figure archive
Real Outcome · 实际效果
학술 총서 15권·890만 자 스캔 원고에 대해 10주 내 OCR, 용어 일관성 정비, 초정밀 번역, 심사 전 과정을 완료했습니다.