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Courier Receipt Automation leverages advanced AI and machine learning to streamline and automate the process of extracting critical information from courier receipts. This powerful technology can identify and capture various information types specific to courier receipts such as sender and receiver details, shipment tracking numbers, dates, and costs. By replacing manual processes, courier receipt automation significantly enhances operational efficiency, reducing the time spent on data entry and eliminating human errors.
DeepOpinion’s AI Hub makes it possible to handle 99% of global variations, reducing error rates by 20x. This technology is capable of processing thousands of layouts with over 98% accuracy thanks to a single Large Language Model (LLM). It also eliminates the need for extensive data training, requiring only 50-100 training examples to achieve accuracy rates above 98%.
These capabilities, coupled with pre-trained models, operational advantages, continuous learning, and integration scalability, make DeepOpinion a game-changer in courier receipt automation, driving significant improvements in 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 approach to Courier Receipt processing is innovative and proves to be more efficient compared to the traditional OCR solutions. The traditional OCR solutions depend heavily on layouts and position-based information, thus struggling to handle global variation, layout variety, and semi/unstructured documents. DeepOpinion's AI and Document Processing Excellence, on the other hand, enables handling 99% of Global Variation with a single Large Language Model (LLM) that can process thousands of layouts with over 98% accuracy. LLMs offer independence from layouts, reducing error rates significantly. This is achieved using pre-tuned domain-specific LLMs trained on millions of text and documents, which can effectively process unstructured documents, extract hierarchical information, and handle wide layout varieties. Further, DeepOpinion's AI Hub does not require extensive data training like conventional OCR systems. Traditional OCR tools require large training data sets especially for handling complex unstructured documents which often deliver inaccurate models due to ineffective AI. However, with DeepOpinion, powerful models can be built in minutes without requiring large training data sets, using domain-tuned Generative LLM zero-shot capabilities. AI for text and documents outperform major competitors by up to 3x on unstructured data, offering above 98% AI accuracy with 20x less data. This system has been developed through pioneering LLM research since 2018, including 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-built apps for quick impact in common document types, eliminating the need for extensive training and maintenance efforts seen in traditional OCR systems. It also maintains high accuracy, reduces reliance on predefined templates, and offers operational and maintenance advantages, such as capabilities 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 makes DeepOpinion's approach to Courier Receipt processing significantly more efficient and reliable 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.