Form2Agent AI

The form filling AI runs the form as a dialogue. It asks a question, takes the answer, and moves to the next empty field, so users never see a wall of inputs at once. Behind the scenes, client-side scripts write each answer into the form based on what the AI returns. Your validation rules still apply, which means the form stays the source of truth.

Speech-to-text takes the answer, and text-to-speech reads the assistant's questions back. That pairing is what makes hands-free use real rather than partial. It also helps anyone who finds reading a dense form on a phone screen a chore.

Users can attach a document instead of retyping it. The assistant reads the file, pulls the relevant details, and proposes values for the fields it can fill. For clinics and finance departments, this is the difference between a two-minute task and a fifteen-minute one. In practice it behaves like an AI data entry assistant, not a chat window.

Answers get corrected for grammar, rephrased when they're vague, and translated in real time. A customer writing in Portuguese can finish an English form without switching tools. The same layer filters inappropriate language, which matters for public-facing feedback forms.

Form2Agent AI doesn't ask you to rebuild your form in a new builder. It attaches to the UI you ship today and drives the existing fields. AI form automation here only writes into fields you've mapped, so nothing lands in an unexpected box. Teams keep their current backend, their current validation, and their current analytics. The work sits in mapping fields and tuning prompts, not in a migration.

The iOS build wraps the web form in a WebView, so the same assistant runs inside a native app. iOS Shortcuts and Siri can start a specific workflow by voice, which suits field staff who need to log something without unlocking and tapping through screens.