Bilingual Scanned Document Transcription and Font Encoding Normalization
Pain Points (Public)
Scanned or photographed bilingual correspondence (such as Hindi and English records) cannot be reliably digitized via off-the-shelf OCR due to complex ligatures, poor image clarity, and encoding conflicts between legacy 8-bit typing fonts like Kruti Dev and modern Unicode standards like Mangal.
Suggested Approach (Public)
A hybrid transcription and document reconstruction workflow combining script-aware OCR with manual layout alignment, font transcoding between legacy glyph encodings and Unicode, and final formatting in clean, editable Microsoft Word (.docx) files.
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Opportunity assessment PRO
Development brief PRO
- Target government and legal archives requiring legacy Kruti Dev to Unicode/Mangal conversion alongside bilingual Hindi-English digitisation.
- Implement bilingual image pre-processing and OCR extraction pipeline using Tesseract OCR for Hindi and English scanned documents.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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