Bilingual Indic-Latin Protected Text Digitization and PDF Typesetting
Pain Points (Public)
Text rendered inside copy-protected viewers, canvas elements, or flattened digital displays cannot be directly highlighted or extracted. Standard OCR models frequently corrupt Devanagari vowel signs (matras), conjunct consonants, and halants when interleaved with English, leading to character-encoding errors and broken paragraph layouts.
Suggested Approach (Public)
A human-in-the-loop transcription and document-reconstruction workflow that utilizes screen capture, Indic-trained OCR engines (such as Google Cloud Vision), and bilingual proofreading to handle complex ligatures and punctuation, compiling the validated text into identical multi-page PDF documents via ReportLab or Typst.
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Public Demand Evidence · 2 task(s)
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