Layout-Preserving Non-Latin Document OCR and Word Reconstruction
Pain Points (Public)
Standard PDF-to-Word converters and general-purpose OCR tools frequently fail on complex non-Latin scripts like Devanagari, causing broken conjuncts, garbled diacritics, and completely lost typography, which forces businesses to manually retype publications from scratch.
Suggested Approach (Public)
A specialized document transcription and styling pipeline that pairs script-optimized OCR with Unicode normalization to generate native Microsoft Word (.docx) files matching original paragraph breaks, heading styles, and page geometry.
🛠️ Community Matching Tools
If you've built a product that solves this demand, you can submit it for showcase. 15 tokens are charged once approved; rejected submissions are never charged.
Original Paid Gigs · 2 task(s)
Only task summaries and outbound links are shown, never full-text reproduction; personal information has been scrubbed. Data sources are logged and traceable.
💬 Community Discussion