Faded stamps, handwritten margins, mixed Urdu and English — why ordinary OCR fails on real court files, and how we solved it.
Anyone who has worked with Pakistani court records knows the reality: documents are often decades old, photocopied many times over, stamped, annotated by hand, and written in a mix of Urdu and English on the same page.
Why standard OCR breaks
Off-the-shelf optical character recognition assumes clean, high-contrast, single-language text. Real case files violate every one of those assumptions, which is why generic tools return garbled output a lawyer cannot trust.
Our restoration pipeline
- —Image enhancement — denoising, contrast correction, and super-resolution before a single character is read.
- —Deskew and layout analysis to separate stamps, seals, and marginalia from the body text.
- —Multilingual recognition tuned for Urdu-English code-switching.
The result is text a lawyer can rely on — and a file in which nothing important is overlooked.
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