i-frame Kullanım Örnekleri
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From Visual to Data, Data to Value: Digitize Visual Data with i-frame
In today’s digital world, information comes not only from text, but also from documents, maps, graphics and visual elements. Converting these visuals into data enriches corporate insights and strengthens data-driven decisions. i-frame offers low-code solutions for Visual Data Digitization, making it possible to generate structured data from a wide range of visual sources such as document scans, geospatial data, PDF forms, CAD drawings, and even handwritten records.

Solution Contributions and Highlights
Automatic Data Extraction
Text, date, number and location information from visual documents are automatically detected and transformed into structured data.
Geographic and Hardware Integration
Spatial analysis is supported by connecting with visual data from GIS systems and IoT sensors.
Form and Registration Automation
Operational documents such as field forms, maintenance plans, inspection lists are automatically processed and integrated with the system.
Dashboard Integration
Digitized visual data is linked to user-specific dashboards, facilitating monitoring and reporting.
Workflow Integration
When OCR and i-frame are used together, the data obtained from images is transferred directly into workflows, eliminating the need for manual input.
Traceability and Auditability
All digitized visual data is securely stored and can be traced in detail by who and when it was processed.
How to Digitize Visual Data with i-frame?
The i-frame platform works with an advanced architecture that enables the systematic processing of information from visual sources:
Converting Documents into Digital Data
Scanned documents, PDFs or forms are analyzed with OCR technologies, turning text, date, location and other fields into structured data.
Area Detection on Map and Visual
Geographic Information System (GIS) integration enables object detection and area measurements on drawings, maps or images.
Automatic Data Transfer from Image to Form
Handwritten forms or digital drawings are automatically transferred to templates defined within the system. This reduces human error and shortens processing time.
Data Association and Labeling on Visual
Digitized items are matched with records in the existing system. Relational analysis can be done with data tags positioned on the images.
Creating a Workflow from a Visual with Drag and Drop
Information from visual sources is transformed and automated into business processes through i-frame’s drag-and-drop interface.