Improved OCR Integration

The new version of the open source project Imixs-Workflow provides an improved OCR integration and supports much more document formats.

With the upcoming release of Imixs-Archive v2.1.2, which is part of the Imixs-Workflow ecosystem, nearly all kinds of documents can now be analyzed on demand. The Optical character recognition (OCR) is based on the latest version of the Apache Tika project. The Imixs-Archive service detects and extracts metadata and text from all common file types (such as Word, PPT, XLS, JPG and PDF). All of these file types are parsed through an integrated microservice, making the data useful for fulltext search, content analysis, translation, and machine learning.

Even a snapshot taken with your smartphone from an invoice or a contract document can now be transferred to the Imixs workflow system in seconds. This makes the digitization of business processes even faster and easier.

With the integrated Workflow Management Suite Imixs-Office-Workflow your team can collaborate fast, clear and in a structured way.

Imixs-Workflow provides a modern microservice architecture. This means that you can integrate this solution into any container-based infrastructure such as Kubernetes. The Imixs workflow project already provides production ready Docker images.

Kubernetes for Small and Medium Organisations

With Imixs-Cloud we started a new open infrastructure project, providing a lightweight kubernetes cluster for small and medium-sized organizations. This projects goal is to build, run and maintain business applications in a production ready and self managed kubernetes cluster. The main objectives of Imixs-Cloud are simplicity, transparency and operational readiness.

The runtime environment is based on Kubernetes and provides an easy way to setup and maintain a medium-sized kubernetes cluster environment hosted on virtual servers or bare metal. The project is open source and constantly under development. You can join the project on Github.

The project contains information how to setup a kubernetes cluster on bare metal servers or cloud servers.

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