Multi-Script Text Detection for Document Digitization
A document management SaaS company needed to handle multi-language, multi-script documents (Latin, Devanagari, Arabic) from their enterprise clients. Existing OCR solutions had poor accuracy on mixed-script pages and non-standard fonts.
Business Challenge
A document management SaaS company needed to handle multi-language, multi-script documents (Latin, Devanagari, Arabic) from their enterprise clients. Existing OCR solutions had poor accuracy on mixed-script pages and non-standard fonts.
Solution & Approach
We built a custom text detection and recognition pipeline using a CRAFT-based text detection model combined with script-specific recognition heads. The system automatically identifies script regions within a single document and routes them to the appropriate recognition model.
Capabilities Delivered
- Multi-script text region detection using CRAFT architecture
- Script identification and routing pipeline
- Custom training data curation for Devanagari and Arabic scripts
- REST API for document processing integration
- Post-processing and confidence scoring layer
Business Outcomes
Average OCR accuracy across all supported scripts improved from 71% to 93%, enabling reliable automated processing of previously unstructured document archives. Processing throughput increased 8x compared to the manual workflow.
93%
Average OCR accuracy
8x
Processing throughput increase
3
Scripts supported
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