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Automatically Generate Alternate Text for Images

It is widely acknowledged that having a description of the image (alt text) is an essential requirement for PDF documents to comply with accessibility standards. By including alt text in PDF documents, you can ensure that your content is accessible to a wider range of users, including those with visual impairments who rely on screen readers. All in all, every image from real content must be described to convey information.

Use of AI

Although the alt text attribute in PDF is intended to enhance the accessibility of the document, it is often not implemented in a meaningful manner. To provide contextually relevant alt text, someone needs to manually review each image and create a related description. This process can be time-consuming and resource-intensive, requiring a significant investment in content creation.

Artificial Intelligence (AI) provides a potential solution through the use of auto-generated image descriptions, which in some cases offers very good results.

Image Captioning Using Deep Learning

Deep Learning has been showing remarkable progress in computer vision tasks ranging from object detection to natural language processing. Image Captioning, a combination of both image and text, is a deep learning model that generates image captions.

Let’s look at some options for generating alt text for images automatically.

PDFix – Image – AltText

Let’s examine our example of updating image alternate text in the PDF with AI image captioning available now at PDFix GitHub.

LINK: GitHub – pdfix/pdf-update-image-alt: Update Image alternate text in the PDF with AI image captioning

To test Image-Captioning sample, see the output at HuggingFace.

LINK: nlpconnect/vit-gpt2-image-captioning · Hugging Face

Image is showing an output of generating alternate text for images through image captioning and deep learning.
Image-to-Text Output

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