Curiosity · After 12th
How to learn Optical Character Recognition after 12th in Delhi
OCR converts text inside images and scanned documents into machine-readable characters, dealing with layout, skew, handwriting and poor scans. It is the ingestion step for almost every document-AI pipeline. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Optical Character Recognition coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Optical Character Recognition
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine Optical Character Recognition depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Optical Character Recognition
OCR converts text inside images and scanned documents into machine-readable characters, dealing with layout, skew, handwriting and poor scans. It is the ingestion step for almost every document-AI pipeline. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- OCR sits inside the computer vision material published at learn.engineering.vips.edu.
- It connects directly to the RAG and retrieval content, since scanned documents have to become text before they can be chunked and embedded.
- The deep learning material covers the recognition models modern OCR relies on.
- Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where Optical Character Recognition skills lead
Graduates applying Optical Character Recognition skills typically target roles such as Computer Vision Engineer, AI Engineer, Document AI Engineer, Machine Learning Engineer, Applied AI Developer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn Optical Character Recognition after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Optical Character Recognition-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Where does OCR appear in the curriculum?
In the computer vision material published at learn.engineering.vips.edu, and practically as the ingestion stage of document-based RAG systems.
What does an OCR project look like at VSET?
Usually a pipeline: scan or photograph, extract text, chunk and embed it, then answer questions over it — which reuses the documented RAG stack end to end.
Is hardware available for capture rigs?
Yes — the AICTE IDEA Lab provides embedded hardware and 3D printing alongside its GPU workstations.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31