Best Data Extraction Software for Google Drive

reciTAL is an Artificial Intelligence editor. reciTAL is the first Intelligent Document Processing player with a Deep Tech Label. It automates your extraction and classification, as well as search processes for all types of email flows. You can retrain a model at any time taking into account user feedback. The reciTAL team will guide you through deployment via Docker Compose or in your internal Kubernetes. In a matter of minutes, you can implement basic business rules to configure your data points. The operator validates or rejects the extracted data depending on the level of confidence. It is extremely simple and fast to create a new type document. Continuous performance improvement is possible by using validated data.

Jump to our product page for more information about our data integration software. This includes solutions for Active Directory and SharePoint. Our data integration solutions offer developers the opportunity to use the flexibility and power offered by the SSIS ETL engine to connect almost any application or data source. Data integration is possible without writing any code. This means that your development can be completed in minutes. Our integration solutions are the most flexible on the market. Our software has intuitive user interfaces that make it easy and flexible to use. Our solution is easy to use and offers the best return on your investment. Our software has many features that will help you achieve the highest performance without consuming too much of your budget.

PaperEntry Platform, an AI-based document data collection platform, allows businesses to automate data entry without the need for human data entry operators. It can work with many types of documents. You can extract the documents from email and shared folders. The documents can also be integrated using APIs. PaperEntry's core technology relies on Artificial Intelligence. This technology allows for the extraction of relevant data from documents. The technology allows for the quick validation of the extracted data by a human validater using built-in validation software. Once validated, the data can be routed to a client and/or a post-processing engine for further digitization. Finally, the extracted, validated and transformed (optional), data can be integrated into ERP or TMS (Transport Management System) or AP (Accounts payable) systems. The flow is illustrated in the diagram below.

Documents are an integral part of almost all industries. The majority of these industries that rely on documents are moving towards digital transformation. The real problem is the processing structure of complex, unstructured or semi-structured documents as well as Invoices. DOCBrains can automatically retrieve files from many sources (Dropbox Google Drive, Network Drive and email attachments), or upload your business documents through a secured encrypted environment to the bot. It is a best practice for our document processor engine to ensure that all relevant data is taken into consideration for further processing using various OCR, ICR and AI algorithms. Document processing is fast, efficient, and accurate with 100% accuracy. The system is composed of three steps: data extraction, validation, and export for further processing.