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Certificate of Address Automation employs advanced AI and machine learning to streamline and automate the process of extracting crucial information from certificates of address. This includes specific data points such as names, addresses, issue dates, and other relevant details.
By integrating DeepOpinion's AI Hub, businesses can build high-quality AI applications in minutes, effectively handling millions of document layouts with an impressive accuracy of over 98%. This innovative technology significantly reduces error rates, improving operational efficiency and overall business performance.
Furthermore, it eliminates the need for large training data sets, allowing for powerful models to be built in minutes with zero-shot capabilities. With continuous learning, the AI models improve over time, extracting even more accurate data and reducing manual review time by up to 85%. This revolutionary approach to certificate of address processing not only reduces manual labor and costs but also accelerates decision-making and enhances business logic and rules, leading to improved straight through processing and overall ROI.
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.
What customers are saying
Frequently asked questions
DeepOpinion's approach to Certificate of Address processing leverages the power of artificial intelligence and Large Language Models (LLM), making it fundamentally different from traditional OCR solutions. Traditional OCR solutions are often dependent on layouts and positional information, struggling to handle global variation, context/intent, and semi/unstructured documents. In contrast, DeepOpinion's AI Hub can handle 99% of global variation with a single LLM, achieving over 98% accuracy without the need for templates or pixel rules. This allows the AI to be independent from layouts and reduce error rates by up to 20 times. Furthermore, DeepOpinion's solution has been demonstrated to process more than 35,000 layouts with high accuracy, even handling complex elements like unstructured documents, wide layout variety, hierarchical information, and hand-written signatures. DeepOpinion also differs from traditional OCR solutions in its ability to build powerful models without requiring any data training. Traditional solutions often require vast training data sets, especially for handling complex unstructured documents, which can be time-consuming and expensive. In contrast, DeepOpinion uses domain-tuned Generative LLM zero-shot capabilities to build models in minutes without requiring any data training. This means you only need to define your goals, like extracting, summarizing, or analyzing data, and the AI takes care of the rest. Moreover, DeepOpinion requires only 50-100 training examples for its domain-tuned LLMs to achieve above 98% AI accuracy, outperforming major competitors by up to 3x on unstructured data. Last but not least, DeepOpinion provides several operational and maintenance advantages over traditional OCR solutions. Traditional solutions often require high training and maintenance efforts, leading to high costs and error rates, especially with flexible/unstructured layouts. DeepOpinion, on the other hand, reduces reliance on predefined templates and provides capabilities for complete dark processing. Moreover, the AI Hub continues to improve its performance as more data is passed through the models and corrections are made, thanks to advanced model-listening and an automated continuous learning loop. This means that the learning benefits of a model from use in a specific domain indirectly benefit all users, aligning all companies using DeepOpinion towards better models.
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.