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Auto Repair Invoice Automation revolutionizes the way businesses process their invoices, leveraging the power of Artificial Intelligence and machine learning. With DeepOpinion’s AI-driven technology, businesses can extract vital information such as part details, labor costs, tax calculations, invoice totals, payment terms, and vendor details from unstructured invoice documents.
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The platform's Large Language Model (LLM) handles 99% of global variation, accommodating millions of layouts with 98%+ accuracy, drastically reducing error rates. Training is minimal, with domain-tuned LLMs requiring only 50-100 training examples, and pre-trained models are available for instant processing of common document types.
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This technology enhances operational efficiency, eliminating the need for manual data entry and reducing invoice processing time. Businesses can further streamline their operations with DeepOpinion's easy-to-use AI designer, which integrates seamlessly with existing systems and scales across teams and regions.
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The result is a significant improvement in overall business performance, with an increase in straight-through processing rates and a reduction in operational costs.
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 Auto Repair Invoice processing transcends traditional OCR solutions due to its advanced AI capabilities suited for complex, semi-unstructured documents. Unlike conventional OCR, which is heavily dependent on templates and pixel rules, DeepOpinion utilizes Large Language Models (LLMs) capable of handling millions of layouts with accuracy exceeding 98%. This model versatility eliminates the need for extensive layout and position-based information, reducing error rates by a factor of 20 while accommodating a wide range of document varieties, from unstructured and semi-structured documents to distorted, low-resolution invoices. DeepOpinion's approach can effectively handle global variation, context/intent, and extract hierarchical information, signatures, and line items, among other features. Furthermore, DeepOpinion's Auto Repair Invoice processing platform, AI Hub, is engineered for data efficiency with zero training necessary. While traditional OCR solutions require large training data sets, potentially leading to inaccurate models, DeepOpinion's platform builds powerful models in minutes without needing data training. Through generative LLM zero-shot capabilities, users can define their objectives, and the AI takes care of the rest. The platform also leverages domain-tuned LLMs that only require 50-100 training examples, delivering over 98% accuracy while outperforming major competitors in handling unstructured data. This efficiency is backed by DeepOpinion's pioneering research in LLM since 2018, featuring pre-trained Generative and Discriminative LLM Models built with context-aware Intelligent Document Processing (IDP) and Natural Language Understanding (NLU) technology. Lastly, DeepOpinion's platform is designed for operational convenience and maintenance advantages. It reduces the reliance on predefined templates and facilitates dark processing, thereby minimizing the high training and maintenance effort typically associated with traditional OCR. Moreover, the platform offers continuous learning capabilities, where AI models progressively improve as more data is passed through, and corrections are made, thanks to advanced model-listening and an automated continuous learning loop. This also implies that any learning benefits derived from a model's use in a specific domain benefit all users of such base models, creating a network effect. Hence, DeepOpinion's approach ensures an efficient, accurate, and continuously improving processing of Auto Repair Invoices.
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.