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Credit Note Automation is a transformative technology that leverages AI and machine learning to extract key information from credit notes, such as supplier details, credit note number, date, and line item information. With DeepOpinion's Generative Automation platform, businesses can automate this process, handling the global variation of document layouts and semi/unstructured documents with a single Large Language Model (LLM).
The AI Hub offers zero-training necessary and data efficiency, enabling businesses to build powerful models quickly without requiring extensive data training. Operational efficiency is significantly improved as DeepOpinion reduces the need for predefined templates, allowing for complete dark processing.
Furthermore, the technology continues to learn and improve accuracy as more data is passed through, maximizing straight-through processing and overall business performance. In addition to operational benefits, the platform also integrates with over 200+ enterprise systems via API, ensuring robust and secure integration. Credit Note Automation with DeepOpinion ultimately leads to significant time and cost savings, enhanced accuracy, and improved compliance and risk management.
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 Credit Note processing substantially differs from traditional OCR solutions in several ways. Firstly, DeepOpinion employs an AI hub with a single Large Language Model (LLM) that can handle millions of layouts, which is a vast improvement over traditional OCR solutions that depend heavily on layouts and position-based information. The LLM has the ability to handle 99% of global variations, train without templates or pixel rules, and reduce error rates by 20 times. This adaptability to a wide variety of layouts, from unstructured to semi-structured documents, allows for a much more flexible and accurate processing system. Secondly, DeepOpinion eliminates the need for extensive training data sets, which are typically required by traditional OCR solutions to handle complex unstructured documents. Instead, DeepOpinion can build powerful models in minutes without requiring any data training, thanks to its domain-tuned Generative LLM zero-shot capabilities. This also means that the AI models can achieve above 98% accuracy with 20x less data, outperforming major competitors by up to three times on unstructured data. The pre-trained models are another unique feature, offering a collection of 60+ domain-tuned pre-trained AI apps to instantly process, summarize, or interpret data for various document types and text content. Lastly, DeepOpinion offers several operational and maintenance advantages over traditional OCR solutions. It reduces the reliance on predefined templates and allows for complete dark processing. 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 and data network effect. This learning process benefits all users, as companies using DeepOpinion indirectly contribute to better models for all. Furthermore, DeepOpinion's AI models are capable of grasping relational and contextual information in documents, allowing for the interpretation of information that isn't overtly present. This significant difference makes DeepOpinion's approach to Credit Note processing far more advanced and effective than 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.