Beacon·
Solutions
SOLUTIONS · Scenario 02

Scanned source manuscripts

PDF / images → structured editable text

TranslationOCR
SCAN.PDF · p.127SCAN

Chapter 1 Introduction

Title 99.2%
Body A 98.7%
Body B 97.4%
Notes 96.1%
Recognizing99.2%
OCR → Structure
CHAPTER1.DOCXStructured

§ Ch.1 Introduction

Footnotes ¹ ² ³
TableFigure
Accuracy
99.2%
Series volume
15 vol · 8.9M
Formats
PDF · TIFF · JPG
OCR ENGINE · RUNNING99.2% OCR
SCENARIO 02Translation

Scanned source manuscripts

PDF / images → 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—blocking 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

A 15-volume academic series (8.9M characters): OCR, terminology harmonization, precision translation, and full editorial QA—all delivered in 10 weeks.

Frequently asked questions

Which scan formats are supported? What about blurry or handwritten pages?

PDF, TIFF, JPG, PNG and other mainstream scan formats. Multi-engine fusion reaches 99%+ accuracy with handwriting fallback; low-confidence regions are highlighted for human review.

Can OCR output go straight into translation?

Yes. Structured recovery outputs editable Word/TXT with body, footnotes, captions, and tables layered—ready for publishing-grade translation and review without re-formatting.

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