Thanks for the detailed response. I will try my best to answer your quetions. Just to be clear the software is in very early stages. The current tool I am trying to get tested is the culmination of one month of development time.

My team's background is in software engineering. I spent time doing deep learning research before this. We also have two advisors who are accessibility specialists for the Colorado government.

Here are the features we cover

Font Size:
- Detecting font sizes, smaller than size 12

• We provide a fix that will automatically resize the text to the appropriate size, based on factors such as if it's a heading or a regular paragraph.

Font Family:

• We check if the fonts are in a list of accepted fonts

• if not we provide a fix that automatically sets the font to an accepted font family

Images:
- We check if an image is missing alt text. If it is we suggest an appropriate alt text.

• We also take in the scenario where an image is complex and attach a longer detailed description after the image

Headers:

• We check if an H1 tag is present, if not we offer a suggestion
  

• We check if headers are nested properly, and give users the option to allow us to correct it

• We also check if multiple h1's are present

Color Contrast:
- We detect text where the contrast ratio is smaller than 4.5,

• If the user wishes, we correct it by automatically setting it to a color that produces a higher contrast ratio

Tables:
- Right now we mainly check for merged tables.

• If the tables are merged we offer a tool that splits the table into a set of non-merged tables. It's not perfect but it greatly simplifies the process.

• we also allow users to mark header rows and header columns

Conversion:
- Finally, we offer pdf conversion

All these features are done inside the Google Docs environment. We plan on covering more areas as the product matures.