The AI PDF accessibility solution provides the possibility to automate the manual and time-consuming process of tagging a PDF document to make it accessible. As part of automating the process using AI technology capabilities, we teach the computer thru an extensive identification and classification process to identify the different text formats in PDF documents then based on this process we then automatically tag of the document.
The tagged documents are based on the WCAG directives for accessibility of PDF documents.
Main Features of the AI solution
- Analysis of structure diversity for given set of example documents
- Generation of synthetic documents for machine training
- Multi-channel Image Coarsening for encoding human perception
- Deep Learning architecture for document segmentation
- Deep Learning architecture for object detection in documents
- Robot for adding tags into PDF documents
The video illustrates how the AI system takes an uploaded PDF document analyses it then tags the different structures of the document and builds a tree tag to make the output document accessible in minutes.
Document accessibility system based on AI technology:
- Automatic tagging of PDF documents quickly and efficiently
- Labeling instant reports and various documents without manual intervention
- On the fly tagging
- Accurate and consistent tagging- less mistakes and faster than human tagging
- Lowering tagging costs drastically
- Faster tagging
- SAAS version
- Retrospective corrections