Optical character recognition (OCR) is just one component of an intelligent document processing solution. OCR is a technology that enables you to convert virtually any type of image containing written text (i.e. typed, handwritten or printed) into machine-readable text data. An intelligent document processing solution involves a more advanced process that not only extracts data but also classifies, validates, and integrates it into back-end systems for use in business processes. OCR alone cannot provide the same level of accuracy and efficiency as the combination of technologies used in an intelligent document processing solution. Additionally, an intelligent document processing solution offers scalability and automation, making it more suitable for handling large volumes of (complex) documents or less straightforward use-cases.

1. Standard and non-standard document types requiring high level of machine intelligence in understanding and extracting detailed information (less straightforward use cases not handled well by OCR solutions).
2. Building additional business logic with data extracted from documents (e.g. matching invoice lines to receipts for automatic payment approval).
3. Companies that are looking to acquire competitive advantage.
4. High volumes (that warrant the investment in a dedicated solution).
5. Integrating documents in workflows & back-end systems.

Accuracy rates of over 95% are typically achieved. This is due to the use of multiple advanced technologies, such as OCR, (generative) AI and Machine Learning algorithms, which are combined extract and validate data from documents. Additionally, human-in-the-loop validation with the verification app can further improve the accuracy by allowing for feedback and corrections from human input. Rappit Undoc offers a highly accurate solution for managing large volumes of documents with complex data.

Rappit Undoc supports many different types of documents (in different file formats) like purchase invoices, export documents, and test certificates. For each document type customization and training of models based on your data is required to achieve highly accurate document processing. Hence Rappit Undoc does not aim to provide out-of the-box document templates that are immediately ready for use.

We currently provide support for documents in all languages supported by Google Cloud Vision API. This includes all Latin languages and multiple Asian languages.

Yes, it can handle handwritten text (in multiple languages) by employing OCR technology to decipher hard-to-read texts.

Integrating Google Cloud’s GenAI technology in Rappit Undoc has improved its document processing capabilities, enabling better understanding and interpretation. This has led to more accurate text extraction, improved pattern recognition, and better adaptation to changing formats and languages.

The cost depends on the amount of fields and the document volume to be processed, required accuracy and  customizations & integrations needed. Get in touch with our experts to receive a custom quote.