Flat fields
Column names
Form W-9 automation leverages AI and machine learning to streamline and optimize the tedious process of document and data extraction. This technology efficiently extracts essential information such as taxpayer identification numbers, names, addresses, and tax classification details from Form W-9, reducing the need for manual data entry and mitigating the risk of human error.
By implementing Form W-9 automation, businesses can significantly enhance their operational efficiency and overall performance. DeepOpinion's AI Hub provides a robust solution to this challenge, allowing enterprises to build high-quality AI apps in minutes. The platform's advanced Large Language Model (LLM) can handle a vast array of layouts and variations, offering an impressive accuracy rate of over 98%.
With zero-training necessary, pre-tuned models, operational and maintenance advantages, and continuous learning capabilities, companies can see immediate improvements in their document processing workflows. By integrating AI Hub with their existing systems, businesses can experience increased scalability, easy version control, and instant impact. In turn, this leads to improved compliance validation, intelligent error handling, and a streamlined exception handling process. The result is a significant boost in operational savings and an increase in straight-through processing rates, positively impacting the overall 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.
What customers are saying
Frequently asked questions
DeepOpinion's AI Hub is a revolutionary approach to Form W-9 processing that significantly deviates from traditional OCR solutions, primarily due to its usage of a single Large Language Model (LLM) that can handle a wide variety of layouts with a high degree of accuracy. Unlike traditional OCR solutions that largely rely on layout and position-based information and struggle with unstructured or semi-structured documents, DeepOpinion's AI Hub can handle 99% of global variation through its LLM. This model is trained to reduce error rates by 20 times, offering independence from layouts and providing a high degree of accuracy, even when dealing with complex documents. The AI Hub also brings about a level of data efficiency and zero-training required that is not present in traditional OCR solutions. Existing OCR tools often require large, painstakingly annotated training data sets or many templates to create a model with tolerable accuracy. In contrast, DeepOpinion's AI Hub can build powerful models in minutes without any data training, using domain-tuned Generative LLM zero-shot capabilities. These models are designed to outperform major competitors by up to 3x on unstructured data, requiring only 50-100 training examples to achieve above 98% AI accuracy. Furthermore, DeepOpinion's AI Hub also offers operational and maintenance advantages over traditional OCR solutions. It reduces reliance on predefined templates and provides capabilities for complete dark processing, lessening the high training and maintenance costs associated with traditional OCR solutions. In addition, the AI Hub has built-in continuous learning capabilities, which means the performance of AI models continuously improves as more data is passed through the models and corrections are made. This approach marks a significant departure from traditional OCR solutions' high error rates and problematic handling of flexible/unstructured layouts.
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.