01 — The problem
What has to stop going wrong.
Your documents, tickets or transcripts are in Bangla, or in Bangla and English mixed together, and the tooling you have tried was validated on English.
02 — What we build
The system behind the surface.
Tokenisation and normalisation that treats each language on its own terms, code-switched input handled directly rather than routed by language detection, and OCR tuned for Bangla conjuncts and vowel signs.
01
Bound it
Define the failure modes, permissions and consistency rules before the interface hides them.
02
Build it
Ship production code in your repository, in phases with a written exit state.
03
Try to break it
Test the paths that carry money, identity, isolation and irreversible decisions.
03 — Decision material
Know whether it fits before a call.
A strong fit
- Teams working across Bangla and English documents
- Archives whose useful material is trapped behind OCR
- Products serving code-switched search or conversation
What leaves with you
- Corpus sample and OCR-quality report
- Parsing, normalisation and retrieval pipeline
- Language-specific evaluation set
- Bilingual interface and operational handover
04 — Evidence
A claim should lead somewhere.
A bilingual interface end to end — English and Bangla on the same screen, not behind a locale switch.
Shown in Nexora AI — Retail and trading