THE CHALLENGE
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Time-Intensive Manual Extraction
3-5 minutes per product image for visual inspection and manual data recording.
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Poor Image Quality
Blurry, motion-blurred, or low-resolution images from field captures made text reading difficult.
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Complex Visual Conditions
Poor lighting, reflective surfaces, occlusions, and distracting backgrounds hindered accurate data capture.
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Brand Recognition Challenges
Small, stylized, or partially obscured brand names and logos are difficult to identify consistently.
THE SOLUTION
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Fragrance domain training on label layouts, packaging formats, fonts, and text positioning specific to the fragrance industry.
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OCR engine optimized for extracting text from challenging conditions-blurry images, reflective surfaces, curved bottles, stylized fonts.
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NLP processing categorizes and tags extracted text into structured fields-product name, brand, ingredients, volume, batch number, regulatory info.
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LLM enhancement improves accuracy by understanding context, correcting OCR errors, and filling incomplete data intelligently.
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User-friendly dashboard displays extracted data for quick review, validation, and correction before database integration.
