🎯 Executive Summary
Intelligent OCR to extract text from images of Persian documents (birth certificate, national ID, invoice, cheque) with high accuracy.
💰 Estimated ROI: 80% less manual data‑entry time, elimination of human error, faster KYC and accounting processes.
🏭 Target Industries: Banking, insurance, accounting, notary offices, online platforms
⏱ Implementation Time: Ready in 2–3 weeks, accuracy tuning 4 weeks
📊 Key KPIs: OCR accuracy, processing time per document, field‑correctness rate, operator hours saved
📋 Technical Project Details
This system is designed for fast, accurate digitization of various documents so that recording and entering information from physical documents is done automatically. The main challenge of the project was accurately recognizing Persian text in images of varying quality, diverse layouts and unsuitable backgrounds — especially where documents had shadows, light reflections or illegible characters.
Leveraging optical character recognition (OCR) technology and advanced machine‑vision models, the system processes document images and extracts key information such as name, number, date and numeric identifiers in a structured way. This process is designed to adapt to different and changing documents without needing a full retraining of the models.
On the technical side, the focus was on improving Persian OCR accuracy and increasing output quality through image processing. Pre‑processing modules — including angle correction, noise removal, character‑sharpness enhancement and separation of text regions from graphic areas — have significantly increased detection accuracy. As a result, processing time per document dropped from several minutes to a few seconds, and information‑extraction accuracy passed the 94% mark.
This system is used in assessment and expert‑review processes to eliminate the need for manual data entry and increase workforce productivity. In addition, the extracted information is stored in standard formats and is searchable and reusable in upstream management systems.
Ultimately, the intelligent image‑to‑text document system is an efficient tool for automating documentation processes that, while reducing costs and human error, significantly increases the accuracy and speed of data processing across organizations.