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Income Tax Return Automation significantly improves the efficiency and accuracy of tax processing by harnessing the power of AI and machine learning. This technology automates the extraction of key data such as total income, deductions, tax credits, and net payable tax, from a myriad of layouts and document types - structured or unstructured.
DeepOpinion's AI Hub offers a state-of-the-art solution, capable of handling global variation through one Large Language Model (LLM), reducing error rates by 20x, and delivering 98%+ accuracy without templates or pixel rules. This innovative platform requires zero training, uses domain-tuned Generative LLMs for fast and effective model building, and integrates seamlessly with pre-existing systems.
Not only does this automation significantly improve operational efficiency, but it also boosts overall business performance by enabling companies to focus on core tasks while the AI handles complex document processing. With the continuous learning feature, the AI's performance improves over time, interpreting and extracting even more useful data from the documents. Thus, Income Tax Returns Automation provides a robust, scalable, and cost-effective solution for businesses to handle their tax processing.
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 income tax returns processing differentiates itself from traditional Optical Character Recognition (OCR) solutions in several ways. The primary difference lies in its usage of Large Language Models (LLM) and generative AI to process documents. While traditional OCRs are dependent on document layouts and position-based information, DeepOpinion's AI Hub can handle global variations, various layouts, and semi/unstructured documents with a single LLM. This model can handle 99% of global variation and can achieve an accuracy of 98% without the need for templates or pixel rules. This approach significantly reduces error rates and can handle a wide variety of document types and languages. DeepOpinion's AI Hub also eliminates the need for extensive training data sets, a common requirement in traditional OCR solutions. This model is designed for data efficiency and can build powerful domain-tuned Generative LLMs without requiring any data training. Simply define what you need to achieve, and the AI takes care of the rest. Furthermore, DeepOpinion's AI Hub requires only 50-100 training examples for over 98% accuracy and outperforms major competitors by up to 3x on unstructured data. This is in stark contrast to traditional OCRs, which often require over 1500 trained documents to build a decent model. Lastly, DeepOpinion's AI Hub offers operational and maintenance advantages over traditional OCR solutions. Traditional OCR solutions often require high training and maintenance effort and cost, and struggle with flexible/unstructured layouts. DeepOpinion's AI Hub, on the other hand, reduces reliance on predefined templates and offers capabilities for complete dark processing. It also features built-in continuous learning and generative reasoning capabilities, allowing the system to improve over time and interpret relational and contextual information in documents. This ease of use and scalability, combined with its compatibility with 100+ languages and automatic scaling of machine and GPU infrastructure, sets DeepOpinion's approach to income tax returns processing apart from traditional OCR solutions.
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.