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CV Automation leverages Artificial Intelligence and Machine Learning to streamline the process of extracting essential information from resumes, bringing a significant boost to operational efficiency and overall business performance. This technology can accurately extract candidate data such as contact details, skills, experience, education, and more, from a wide variety of CV layouts.
DeepOpinion's AI Hub, with its Large Language Models (LLM), can handle 99% of global variations and achieve 98%+ accuracy without dependence on templates or pixel rules, reducing error rates by 20x. This capability not only eliminates the time-consuming task of manual CV screening but also minimizes hiring errors.
Furthermore, our AI Hub requires no extensive data training, making it a quick and effective solution for businesses. With pre-tuned domain-specific LLMs and Generative AI, we can process a wide range of document types, including unstructured and semi-structured documents, and extract hierarchical information, line items, tables, handwriting, and signatures. This impactful solution enhances your recruitment process by eliminating bottlenecks, reducing costs, and speeding up the time-to-hire, leading to significant improvements in business performance.
Build Enterprise-Grade AI Apps
Create AI applications in minutes to process your documents without  using code.
Maximum Accuracy & Versatility
A single model can handle millions of different layouts with high accuracy, without the need for templates.
Zero-Training Needed
Use customizable pre-trained models that require no additional training, facilitating immediate deployment.
Continuous Accuracy Improvement
As new data is introduced, the Document AI enhances its accuracy through an automated learning loop.
Control Data Output
Easily manage data output and formats with features for data matching and the ability to loop in humans for review.
Frequently asked questions
DeepOpinion's approach to CV processing utilizes Large Language Models (LLM) that are versatile and capable of handling a myriad of document layouts, giving it a distinct edge over traditional OCR solutions that heavily rely on predefined layouts and position-based information. DeepOpinion LLMs are trained on millions of text and documents and can handle 99% of global variation, resulting in a notable reduction in error rates. For instance, a single LLM was able to process over 35,000 layouts with an accuracy rate of over 98%. This approach allows the handling of unstructured and semi-structured documents, wide layout variety, and the extraction of hierarchical information, line items, tables, handwriting, and signatures. DeepOpinion's AI Hub further enhances CV processing by eliminating the need for extensive training data sets, a common requirement in traditional OCR solutions that often result in inaccurate models. The AI Hub can build powerful models in minutes without requiring any data training, using domain-tuned Generative LLM zero-shot capabilities. This means that the AI creates the desired output based on a simple description, optimizing data efficiency. For everything else, the AI Hub achieves above 98% AI Accuracy with 20x less data using domain-tuned LLMs that require only 50-100 training examples. In terms of operational efficiency, DeepOpinion's approach requires minimal effort and cost in maintenance compared to traditional OCR solutions. The platform offers pre-trained models that can be instantly deployed for quick impact in common document types. It also offers operational advantages such as reduced reliance on predefined templates and complete dark processing capabilities. The performance of AI continuously improves as more data is passed through the models and corrections are made, thanks to advanced model-listening and an automated continuous learning loop. This approach not only ensures high accuracy but also offers scalability and easy integration with existing systems.
How easy and fast is it to start seeing results?
DeepOpinion enables rapid deployment and integration, allowing users to see immediate results. The platform's pre-trained models and zero-shot capabilities mean that powerful AI applications can be developed and deployed within minutes, without the need for extensive data training or technical expertise.
Do I need to train or label data?
No initial training or labeling is required to start with DeepOpinion. The platform uses pre-trained models that are highly efficient and effective right out of the box, handling 99% of global document variations. These models can achieve 98%+ accuracy without the need for custom templates, pixel rules, or extensive labeled datasets, significantly reducing reliance on large amounts of training data traditionally required for AI systems.
However, for those seeking to fine-tune performance beyond 98% accuracy, DeepOpinion is designed to be 20x more data-efficient compared to traditional models. Where competitors might require 1,000-2,000 samples to improve model accuracy, DeepOpinion can achieve substantial accuracy improvements with just 50-100 examples. This unique feature allows for highly efficient, targeted learning that enhances the AI's capabilities with minimal data input, making DeepOpinion a highly adaptable and efficient choice for optimizing document processing AI performance.
How can I integrate it into my other software tools and systems?
DeepOpinion can be securely and robustly integrated with over 200+ enterprise systems, including RPAs, BPMs, databases, chatbots, and more, via API. The platform supports REST API for seamless connectivity, facilitating easy and fast integration into existing software landscapes and enabling drag & drop live integrations.
Does DeepOpinion offer Human in the Loop capabilities?
Yes, DeepOpinion offers advanced Human in the Loop (HITL) capabilities, allowing for exception handling and precision improvement through human oversight. The platform's HITL interface and active learning sessions identify low-confidence data points that, if interpreted by a human, could significantly enhance performance, ensuring efficient and continuous improvement of AI accuracy.
Which languages do you support?
DeeOpinion offers robust language support for text and document processing, covering the official language or predominant spoken language in 182 countries. Specifically, it provides processing capabilities for 100+ languages for text and 55+ languages for documents.
Text Processing Languages Supported:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali (Romanized), Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Czech, Danish, Dutch, English (US), English (GB), Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hausa, Hebrew, Hindi, Hindi Romanized, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Marathi, Mongolian, Nepali, Norwegian, Oriya, Oromo, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tamil, Tamil Romanized, Telugu, Telugu Romanized, Thai, Turkish, Ukrainian, Urdu, Urdu Romanized, Uzbek, Vietnamese, Welsh, Xhosa, and Yiddish.
Document Processing Lanuages Supported:
For document processing we support: Afrikaans, Albanian, Arabic, Bengali, Bulgarian, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Croatian, Czech, Danish, Dutch, English (US), English (GB), Estonian, Farsi (Persian), Filipino (Tagalog), Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Polish, Portuguese, Punjabi, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese.