# PRD - OCR Processing & Correction Suite

**URL:** <https://forum.webuddhist.com/t/prd-ocr-processing-correction-suite/313>\
**Category:** 🚀 WG སྡེ་ཚན།\
**Created:** [June 20, 2025, 10:39am UTC](https://forum.webuddhist.com/t/prd-ocr-processing-correction-suite/313 "2025-06-20T10:39:06Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Kaldan](https://yyz1.discourse-cdn.com/flex003/user_avatar/forum.webuddhist.com/kaldan/32/43_2.png) [@Kaldan](https://forum.webuddhist.com/u/Kaldan)\
**Post date:** [June 20, 2025, 10:39am UTC](https://forum.webuddhist.com/t/prd-ocr-processing-correction-suite/313/1 "2025-06-20T10:39:06Z")

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## 🧭 Purpose and Demographic

### ✦ Mission Statement

To streamline the transformation of scanned textual images into clean, accurate, and editable digital texts through an integrated OCR processing and correction pipeline.

### ✦ Target Demographic

- Digitization teams handling Buddhist texts and pechas
- Editors and scholars working with scanned archival material
- Digital libraries and repositories (e.g., BDRC, Internet Archive)
- Research institutions focused on textual scholarship and preservation

### ✦ Problem Statement

Manual OCR correction is time-consuming, inconsistent, and requires domain-specific spelling tools. There’s a need for an efficient, semi-automated pipeline that supports OCR output correction with transparency and editorial oversight.

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## 🎯 Product Objectives

### ✦ Core Objectives

- Support batch image preprocessing to improve OCR quality
- Integrate inference from pre-trained OCR models
- Provide an editor for side-by-side comparison and correction of OCR output
- Implement audit trails and spelling suggestions for editorial transparency
- Allow export of clean corrected text in OpenPecha format

### ✦ Non-Goals

- Will not provide translation features (handled by a separate product)
- Not a replacement for OCR model training platform
- Not focused on layout analysis beyond text recognition

### ✦ Impact Areas

- Enhances data quality for digital Tibetan corpora
- Reduces manual labor in digitization workflows
- Supports OpenPecha’s vision of trustworthy digital Buddhist knowledge

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## 💡 Example Use Cases

### ✦ Use Case: Digitization Staff

- Uploads batches of scanned images
- Runs OCR and corrects recognized text in an editor
- Exports final output with version control and correction history

### ✦ Use Case: Tibetan Text Scholar

- Reviews OCR text side-by-side with original scan
- Annotates misread characters
- Uses spelling suggestions to align with standard orthography

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## 🏗 Architectural Considerations

### ✦ Tech Stack

- Python backend (FastAPI)
- OCR model: TrOCR or Tesseract
- Frontend: React or Vue-based editor
- MongoDB/PostgreSQL for storage
- Redis for caching correction history

### ✦ System Diagram

OCR Pipeline → Inference Engine → Correction Editor UI → Export/OpenPecha

### ✦ Security & Privacy

- No public data is stored without consent
- Scanned images processed are assumed to be public domain or licensed
- User activity is tracked for audit purposes only

### ✦ Dependencies

- OCR model APIs (TrOCR/Tesseract)
- Frontend libraries for image-text alignment
- External spell-check dictionaries and correction models

### ✦ Scalability & Maintenance

- Modular service-based architecture to enable horizontal scaling
- Separation of OCR engine and editor for easier updates
- Logging and audit capabilities for long-term maintenance

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## 👥 Participants

### ✦ Working Group Members

- Tashi – Product Owner
- Ganga – ML Engineer (OCR pipeline)
- Sonam – Frontend Engineer
- Thinley – QA and Documentation

### ✦ Stakeholders

- BDRC Digitization Team
- OpenPecha Backend Platform
- Partner institutions like Esukhia, Monlam AI

### ✦ Point of Contact

Tashi – [tashi@openpecha.org](mailto:tashi@openpecha.org)

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## 🚦 Project Status

### ✦ Current Phase

Development phase: Initial OCR inference and editor integration complete; working on correction history features

### ✦ Milestones

- Image Preprocessing Pipeline – ✅
- OCR Inference Integration – ✅
- Correction Editor MVP – 🔄
- Correction Audit Trail – 🔜
- OpenPecha Export – 🔜

### ✦ Roadmap

- July 2025 – Launch MVP
- August 2025 – Usability testing with internal users
- September 2025 – Public beta release
- Q4 2025 – Multi-language support

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## 🗓 Meeting Times

### ✦ Regular Schedule

Every Tuesday at 4PM IST via Zoom

### ✦ Meeting Notes

➡ [Team Notes & Sprint Plans](https://github.com/openpecha/ocr-suite/wiki)

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## 🛠 What We’re Working On

➡ [View GitHub Project Board](https://github.com/openpecha/ocr-suite/projects/1)