Our AI engine reads, classifies, and extracts meaning from every incoming document typed or handwritten, structured or free form. OCR deciphers text, ML models tag content by type, and facial recognition validates identities, collapsing days of manual sorting into minutes while slashing human error.
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Challenges in Manual Document Processing
Organizations often grapple with the inefficiencies and inaccuracies inherent in manual document processing
Overwhelming volume of documents that require handling, categorization, and data extraction, leading to bottlenecks and slow processing times.
Error-prone manual entry, which can have costly repercussions, especially in sectors like finance, healthcare, and legal services where precision is paramount.
lack of standardization in document formats and layouts further complicates manual processing, as staff must adapt to varying structures, making it difficult to streamline workflows
labour cost associated with employing personnel for these repetitive, low-value tasks is another major concern, diverting resources from more strategic initiatives
Compliance and maintaining an audit trail through manual processes is challenging, as tracking document history, approvals, and changes can be cumbersome and unreliable, increasing regulatory risks.
Extracting information from complex documents, such as those containing handwritten text, complex tables, or nuanced language, which often require specialized interpretation.
OCR, Categorization, Data Extraction, Facial Recognition


Our IDP Solutions and Benefits
Our Intelligent Document Processing (IDP) solutions leverage a combination of advanced technologies, including Optical Character Recognition (OCR), Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), to automate and optimize the handling of diverse document types.
Highly accurate OCR capabilities that can convert scanned documents and images into machine-readable text, even from complex layouts or poor-quality originals. Our solutions go beyond simple OCR by incorporating
AI-driven categorization
Automatically sort documents based on their content and type, streamlining workflow routing.
ML models are trained to identify and extract specific data points from documents, such as names, dates, amounts, and key terms, with high precision, significantly reducing manual data entry
Advanced data extraction
Facial recognition technology
Can be integrated for specialized applications, such as identity verification or security screening to analyze images within documents.
Highly accurate OCR


Significant time savings by automating repetitive tasks, allowing staff to focus on higher-value activities.
Cost reduction is achieved through minimized manual labour and increased processing efficiency.
Error minimization is a key advantage, as automated extraction and validation improve data accuracy and consistency.
Enhanced compliance by providing robust audit trails and ensuring consistent application of business rules.
A digitization bureau service provider reduced documents processing times for 15 million documents from six months to four weeks and the cost reduced by 82% by switching from manual data capture to advanced OCR and Machine Language models
IDP Implementation Results
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