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Remittance Letter Automation leverages the power of AI and machine learning to streamline and improve the processing of remittance letters - crucial documents that accompany payments, detailing items such as invoice numbers, dates, and amounts.
DeepOpinion's AI-driven technology can extract key information such as payer details, payment amounts, invoice references, and payment methods from remittance letters, regardless of layout variety or language. It offers an unparalleled 98%+ accuracy, outperforming traditional OCR methods, and significantly reducing error rates. By handling this extraction rapidly and accurately, businesses can vastly improve their operational efficiency, reducing the time and resources spent on manual data entry and error correction.
This not only optimizes financial operations but also positively impacts overall business performance. By integrating DeepOpinion's AI Hub and Automation Hub, businesses can further enhance their remittance letter processing, benefiting from pre-trained models, zero-training necessary, and continuous learning for consistent accuracy improvements. Furthermore, DeepOpinion's platform can be easily integrated with existing systems, scales across teams and regions, and offers robust security measures, ensuring a seamless and secure automation experience.
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 Remittance Letter processing significantly differs from traditional OCR solutions due to its advanced AI capabilities that handle a wide variation of layouts. Instead of relying on position-based information and specific templates, DeepOpinion's solution utilizes Large Language Models (LLMs) to independently process and understand documents. This results in a model versatility and accuracy that can handle 99% of global variation with a single LLM, drastically reducing error rates. For example, a single LLM was able to process 35,000+ layouts with 98%+ accuracy, proving the capability of DeepOpinion's technology in handling unstructured and semi-structured documents, line items, tables, and even handwriting and signatures. Furthermore, DeepOpinion's solution doesn't require extensive data training like traditional OCR solutions. Utilizing domain-tuned Generative LLM zero-shot capabilities, models can be built in minutes that accurately interpret and process data right from the start. For instances that require more than zero-shot capabilities, DeepOpinion's domain-tuned LLMs only need 50-100 training examples to reach above 98% AI accuracy, outperforming competitors by up to 3x on unstructured data. This is achieved thanks to the company's pioneering research in LLM since 2018 and its proprietary pre-trained Generative and Discriminative LLM Models built with context-aware Intelligent Document Processing (IDP) and Natural Language Understanding (NLU) technology. Lastly, DeepOpinion offers pre-trained models and operational advantages that aren't typically available with traditional OCR solutions. The company offers a collection of 60+ domain-tuned pre-trained AI apps to instantly process, summarize, or interpret data across various document types, which can be easily customized to meet business needs. Additionally, the maintenance effort and costs associated with OCR solutions are significantly reduced with DeepOpinion, thanks to its reduced reliance on predefined templates and capabilities for complete dark processing. The performance of AI also continuously improves as more data is processed and corrections are made, further enhancing the quality and efficiency of processing remittance letters.
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.