{"id":6485,"date":"2022-11-07T09:27:16","date_gmt":"2022-11-07T08:27:16","guid":{"rendered":"https:\/\/natifai.threeoax.com\/faq\/"},"modified":"2023-01-23T14:21:26","modified_gmt":"2023-01-23T13:21:26","slug":"faq","status":"publish","type":"page","link":"https:\/\/natifai.threeoax.com\/en\/faq\/","title":{"rendered":"FAQ"},"content":{"rendered":"\n
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Frequently asked questions<\/h1>\n\n\n\n
1<\/span>General<\/a><\/span><\/div>
2<\/span>Technology<\/a><\/span><\/div>
3<\/span>Documents<\/a><\/span><\/div>
4<\/span>Data protection<\/a><\/span><\/div>
5<\/span>Integration<\/a><\/span><\/div><\/div><\/div>\n\n\n\n
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<\/div>

General<\/h2>\n\n\n\n
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Which use cases does natif.ai offer?<\/h3><\/span><\/span><\/span><\/div>
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All our use cases are presented on our site. If you have a different use case, please contact us. We are able to automate almost any document process with our technology.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Can I test the technology beforehand?<\/h3><\/span><\/span><\/span><\/div>
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You can test the various models free of charge on our platform<\/a> .<\/p>\n\n\n\n

There you have a monthly free quota of approx. 100 pages. However, depending on the workflow you use, the quota may vary.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

How much does the software cost?<\/h3><\/span><\/span><\/span><\/div>
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You can find an overview of the different price models here<\/a>. For individual wishes or requirements, you are welcome to make an appointment<\/a>.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Can natif.ai be used on-premise?<\/h3><\/span><\/span><\/span><\/div>
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Under certain conditions, our technology can also be used on-premise. If you are interested in a server-based model, please feel free to make an appointment<\/a>.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Where can I look at customer feedback?<\/h3><\/span><\/span><\/span><\/div>
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If you want to get an idea of our past performance, feel free to check out our customer-feedback<\/a>.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n\n\n\n

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Technology<\/h2>\n\n\n\n
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What is Deep OCR?<\/h3><\/span><\/span><\/span><\/div>
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Deep-OCR is our innovative deep-learning based technology for Optical Character Recognition (OCR). Compared to existing algorithms, our Deep-OCR can recognize text much better even if the document is low quality (crooked, wrinkled, shadows, etc.).<\/p>\n<\/div><\/div><\/div>\n\n\n\n

How does the natif.ai AI work?<\/h3><\/span><\/span><\/span><\/div>
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Our AI uses textual and visual information to classify documents and recognize key information, just like a human.<\/p>\n\n\n\n

Unlike most solutions on the market, our AI is based on neural networks that continuously learn and develop a general understanding of documents. Therefore, our models can be used directly without complex configuration, while the numerous rule-based approaches of the competition usually have to be configured laboriously and expensively to your own data first.<\/p>\n\n\n\n

You can use our pre-trained models or pure OCR, and you can also train your own workflow to classify your documents.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

How exactly does the AI read the documents?<\/h3><\/span><\/span><\/span><\/div>
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Our AI models have been trained with hundreds of thousands of documents and are thus able to read out all important information and position data with uniquely high precision on the market. Thanks to Active Learning, the AI continuously learns from inaccuracies and errors and thus becomes more and more precise and better.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Can OCR also read handwriting?<\/h3><\/span><\/span><\/span><\/div>
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Yes, our Deep OCR technology is capable of recognizing handwriting in addition to machine-generated documents, so it can be used for a wide variety of work steps and workflows. For example, you can easily automate the reading of hand-filled forms and receipts with our AI.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Does the OCR also recognize individual line-item data?<\/h3><\/span><\/span><\/span><\/div>
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Yes, our technology is capable of reading a wide variety of position data. In addition to classic information from the header and footer, our AI can also extract position data with uniquely high accuracy on the market.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

How long does the software take to read a document?<\/h3><\/span><\/span><\/span><\/div>
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Our RESTful API processes all documents in real-time. Since our AI runs on GPUs, we process documents parallel in the shortest possible time (usually less than 1 second per page).<\/p>\n<\/div><\/div><\/div>\n\n\n\n

What languages does the technology support?<\/h3><\/span><\/span><\/span><\/div>
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Our OCR supports German and English as well as various European languages. The selection of languages depends on the respective extraction model.<\/p>\n\n\n\n

Basically, our text recognition can read all characters of the Latin alphabet with high accuracy. On request we can extend our models to other languages.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n\n\n\n

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Documents<\/h2>\n\n\n\n
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How many documents are needed to train an AI model?<\/h3><\/span><\/span><\/span><\/div>
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The amount of data depends on the complexity of the respective use case, the diversity of documents and the individual customer needs. In cooperation with our experts, our technology is optimally integrated into existing workflows and systems. Please feel free to make an appointment<\/a> for further information.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Do the documents require a certain quality?<\/h3><\/span><\/span><\/span><\/div>
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No. Our AI has been trained to recognize and read documents of varying quality – just as a human would. So it can read even scans of crumpled documents or handwritten documents with extreme precision.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Do I have to preprocess my documents in a certain way?<\/h3><\/span><\/span><\/span><\/div>
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Unlike older OCR systems, our solution does not require documents to be pre-processed. We free them from the background for you, correct alignment errors, and read with the highest precision despite low image quality.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n\n\n\n

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Data protection<\/h2>\n\n\n\n
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Where and how long is the data stored?<\/h3><\/span><\/span><\/span><\/div>
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You can decide for yourself how long the data is stored in our data center in Saarwellingen. Our technology only needs your information for the period of processing – by default, we delete it after two weeks.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Is natif.ai GDPR compliant?<\/h3><\/span><\/span><\/span><\/div>
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Yes, data protection is very important to us. You can find all information about data protection here<\/a>.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n\n\n\n

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Integration<\/h2>\n\n\n\n
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Who is the API designed for?<\/h3><\/span><\/span><\/span><\/div>
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Our API is designed for developers. Deep OCR can be easily integrated as a tool into your existing system and significantly improve the automation rate.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Where can I find the RESTful API documentation?<\/h3><\/span><\/span><\/span><\/div>
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All important information about the API integration can be found here<\/a>.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

Where can I view the documentation for each workflow?<\/h3><\/span><\/span><\/span><\/div>
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The documentation for each of our workflows can be found here<\/a>.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

To which CMS\/DMS can the API be connected?<\/h3><\/span><\/span><\/span><\/div>
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In principle, our API can be connected to all common CMS\/DMS. The prerequisite for this is the ability to send a request to our API. For example, we offer a Make-Plugin<\/a>.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

How does the integration to other systems work?<\/h3><\/span><\/span><\/span><\/div>
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The integration depends on the respective use case and the individual customer needs. In cooperation with our experts, our technology is optimally integrated into existing workflows and systems. Please feel free to make an appointment<\/a> for further information.<\/p>\n\n\n\n

<\/p>\n<\/div><\/div><\/div>\n<\/div>\n\n\n\n

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You could not find the answer to your question?<\/h4>\n\n\n\n
CONTACT US<\/strong><\/span><\/span><\/span>
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