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Set your foot with ARC India’s latest OCR technology that converts print documents, journals, and archives into searchable AI datasets.
For the effective utilization of artificial intelligence, it requires well-structured and accurate data. Through our specialized data conversion services specifically created to provide your organization with properly engineered data for maximum AI performance. Utilizing advanced Optical Character Recognition (OCR) technology combined with computer vision and robust precision calibration workflows, we convert your physical document into machine-readable datasets.
With our specific methodologies, we can ensure that the integrity of the data you provide us allows the best utilization of your AI. Our system’s foundation is to accurately and completely capture all of the elements in various document types. Our system’s foundation is to accurately and completely capture all of the elements in various document types. You will have access to high-quality, properly organized, and structured data sources that will help to drive next-generation AI models across every industry in India.
At ARC India, we have moved beyond digital data capture to provide an advanced solution for organizations needing to capitalize on AI. Utilizing our Advanced OCR Capabilities (Optical Character Recognition), organizations can take their unstructured information and turn it into structured and machine-ready assets.
Using our proprietary multi-engine system, we can adapt to virtually any font or typeface, as well as any language or culture, and obtain unrivalled accuracy.
ARC has been developed with a focus on maintaining structural integrity while capturing the data contained within the content.
To maximize the reliability of the character recognition process, ARC uses a fully automated pre-processing system to pre-correct any scanned image errors prior to performing OCR.
The inclusion of annotations and markup is a powerful attribute of ARC’s OCR capabilities, as it permits users to extract information via annotations.
OCR’s another feature that allows users to recognize several languages, capture scientific notations, and use mixed characters within the same process.
Vision algorithms easily identify shapes, labels, symbols, and diagram elements commonly used in engineering, medical, and scientific content.
Using our proprietary multi-engine system, we can adapt to virtually any font or typeface, as well as any language or culture, and obtain unrivalled accuracy.
ARC has been developed with a focus on maintaining structural integrity while capturing the data contained within the content.
To maximize the reliability of the character recognition process, ARC uses a fully automated pre-processing system to pre-correct any scanned image errors prior to performing OCR.
The inclusion of annotations and markup is a powerful attribute of ARC’s OCR capabilities, as it permits users to extract information via annotations.
OCR’s another feature that allows users to recognize several languages, capture scientific notations, and use mixed characters within the same process.
Vision algorithms easily identify shapes, labels, symbols, and diagram elements commonly used in engineering, medical, and scientific content.
This dedicated architecture ensures
Consistent, High-Fidelity Accuracy:
Get reliable data accuracy across diverse and mixed document types; drastically cut error rates.
Semantic Context Preservation:
We go beyond mere character recognition to ensure that the essential meaning and hierarchical relationships-semantic context-within the original documents are perfectly maintained.
Text Files Formats Optimized for Machines:
Data has been produced to the highest standards and format structure to provide the best possible outcome for the efficiency and effectiveness of machine learning model training.
Our rigorous process maintains:
Authentic Meaning and Structure: Maintenance of inherent structure, hierarchy, and core informational context preserved in the original document.
Technical Annotation Fidelity: There is complete assurance of retaining specialized context from technical markups, symbols, and marginalia.
Metadata Precision: Accurate capture and maintenance of all associated metadata, ensuring optimal discoverability and organization.
Confidence Scoring of Extracted Text: Providing measurable confidence scores for all extracted text, enabling targeted review and quality assurance.
End-to-End Security Handling: Stringent security protocols shall be implemented at every stage of the conversion and processing pipeline.
Enhanced Language Capture: Capturing and retaining definitions from established and recognized authoritative sources of printed material.
Increased Variety of Sources: To create a diverse and comprehensive set of high-quality artificial intelligence training data.
Semantic Integrity: To decrease the loss of meaning through the process of digitization.
Enhanced Retrieval Capabilities: A goal to create higher quality and better means of accessing, tagging and searching downstream for all types of content, regardless of medium (e.g., DVD, USB thumb drive, etc.).
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ARC India’s OCR technology turns printed documents, journals, and archives into AI training datasets that are easy to search, well-organised, and accurate. These datasets will help next-generation AI models work in all industries in India.
Our proprietary multi-engine system with Adaptive Text Intelligence can adapt to almost any font, typeface, language, or culture for unmatched accuracy.” We also use Precision Image Conditioning to fix mistakes in scanned images before they are sent to you.
We use specialized, controlled processes that keep authentic meaning and structure, semantic context preservation, technical annotation fidelity, and confidence scoring for all extracted text.
The ARC India solution provides the best solutions for scientific and technical content using advanced OCR with annotated and marked data and computer vision. The ARC Advanced OCR has the ability to easily locate and capture items such as unique symbols, labels, shapes, and diagrams used in medicine and engineering.
The ARC Semantic Context Preservation feature is a key aspect that allows the Data from ARC to be maintained in its entirety and the hierarchical relationship of the characters in the documents being created. This feature also supports AI functionality, allowing for increased performance.
ARC India conducts quality assessments on large-scale data sets using a proprietary architecture with ongoing automated review cycles and added human expert audits to obtain the best accuracy and to ensure consistent results are achieved across the data sets.
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