AI Form Recognition and Preparation

For business staff, contract-management teams and page builders digitising paper or image-based forms, this tool produces a field inventory and a web-form preview from one uploaded image. It helps establish what information should be collected, how it should be entered and how the original form is arranged before discussing data entry or page production. Its role is to clarify an existing form, rather than replace the target business system.

Check both fields and layout

• Field requirements: The field inventory identifies labels, input methods, value types, required-field indications, options and notes. It helps distinguish text, numbers, dates and selections. Business staff can check for omitted fields or misunderstood choices, while page builders can see where an input, selector or longer text area is needed.
• Page preview: The web preview creates a viewable form from the same image for comparison of layout, labels and input areas. The inventory and preview offer complementary perspectives: one describes the information structure, while the other supports discussion of reading order and the filling experience.

Both parts show their own progress and results, making it possible to see what has been produced so far.

Export and continue the work

• Files for handover: Export the inventory as CSV or JSON and download the page as HTML for further checking, editing or handover to the people responsible for integration.
• Continue reviewing: The current browser also retains the image and results for continued review. Old results can be cleared before moving to another form.

Subsequent edits should be made in the exported material or the target tool.

Checking and subsequent integration

The value is in turning a hard-to-reuse form image into a field specification and page draft that can be compared, discussed and handed over. The current inventory supports viewing and export, not direct field-by-field editing. A generated page does not mean submission, approval or archiving workflows are connected. Recognition and layout need human checking, and the actual users must confirm the business rules for contracts or applications.