I Built Form Sync: A Gemma 4-Powered AI Form Builder That Turns Prompts, Voice, and Images Into Production Forms

Links

Live Project: https://form-builder-latest1.pages.dev/

GitHub Repository: https://github.com/Muhammad-Daniyal-Imtiaz/Form-Builder-latest

What I Built

I built Form Sync, a production-ready AI form builder powered by Gemma 4.

The goal is simple: instead of manually creating forms field by field, users can describe what they want, speak it, upload a screenshot/sketch, or edit an existing form using natural language. Gemma 4 then generates a structured, editable form with fields, pages, styling, validation, and conditional logic.

Form Sync supports:

• Text-to-form generation
• Voice-to-form generation
• Image-to-form generation
• AI editing of existing forms
• Multi-page form flows
• Conditional logic generation
• File upload fields
• Live public form preview
• Secure form submissions
• Theme and layout customization
• Supabase-backed persistence
• Cloudflare Turnstile and rate limiting for production safety

Why Gemma 4?

I used Gemma 4 because this project needs more than simple text completion.

A form builder has to understand messy human intent and turn it into a strict structured schema. For example, a user might say:

“Create a job application form with name, email, phone, CV upload, and if the applicant has less than 2 years of experience, ask what junior role they prefer.”

Gemma 4 needs to infer:

• field labels
• field types
• required fields
• page placement
• file upload behavior
• design direction
• conditional logic rules
• target field IDs
• clean JSON that can be imported into the builder

That combination of reasoning, structure, and multimodal input made Gemma 4 a great fit.

Model Selection

Form Sync uses two Gemma 4 models intentionally:

Gemma 4 26B-A4B

I use Gemma 4 26B-A4B for faster, lower-latency text-to-form generation.

This is useful when users want to quickly create a form from a normal prompt, such as:

“Create a customer feedback form with rating, comments, email, and product category.”

The 26B-A4B model is a good fit for fast structured generation where the input is mostly text and the form is not extremely complex.

Gemma 4 31B

I use Gemma 4 31B for heavier tasks like:

• image-to-form generation
• complex conditional logic
• editing existing forms
• multi-page flow planning
• design/style transformation

This model is better suited when the app needs deeper reasoning or multimodal understanding.

How It Works

The user can start in the AI Form Flow Studio and provide:

• a text prompt
• a voice prompt
• an uploaded image
• page count
• style direction
• business goal
• audience
• required fields
• conditional logic instructions
• page-by-page field planning

Gemma 4 returns a structured form JSON object. The app validates and imports that into the builder.

The generated form includes:

• title and description
• fields
• field types
• required flags
• placeholders
• options
• page indexes
• logic rules
• design tokens
• submit button settings
• thank-you message settings

After generation, the user can edit the form manually or use the new AI Edit Existing Form feature.

AI Editing Existing Forms

One of my favorite features is that users can open an existing form and ask AI to change it.

Examples:

• “Add a phone number field after email.”
• “Remove unnecessary questions.”
• “Make this a 2-page application form.”
• “Use a dark blue split layout.”
• “If employment type is Freelancer, show Portfolio URL.”
• “Improve the design and make it feel more premium.”

The app sends the current form structure to Gemma 4 along with the edit request. Gemma 4 returns an updated full form schema while preserving existing field IDs where possible.

This makes the builder feel like a real AI co-designer, not just a one-time generator.

Image-to-Form

Users can upload a screenshot, sketch, scanned paper form, or rough layout idea.

Gemma 4 reads the image and extracts:

• visible labels
• likely field types
• field order
• required markers
• groups/sections
• layout direction

Then Form Sync turns that into an editable digital form.

This is useful for converting old paper forms or quick design sketches into working SaaS forms.

Voice-to-Form

Form Sync also supports voice prompts.

A user can click voice input and say something like:

“Create a minimalist job application form with full name, email, phone number, CV upload, and portfolio link. Make it two pages and use a professional dark blue style.”

The spoken input is converted to text, sent to Gemma 4, and transformed into a form.

This is especially useful for non-technical users who know what they want but do not want to build it manually.

Conditional Logic

Gemma 4 can also generate conditional logic.

For example:

“If the user selects Freelancer, show Portfolio URL. If the role contains Engineer, show GitHub Profile.”

The app turns this into logic rules attached to source fields, with target field IDs matching the generated fields.

This lets forms become dynamic and personalized instead of static.

Production Features

I wanted this to feel like a real SaaS app, not just a hackathon prototype.

So I added:

• Supabase authentication
• form persistence
• public form links
• submissions
• file upload support
• Cloudflare Turnstile protection
• auth rate limiting
• AI route rate limiting
• prompt and image size limits
• secure API routes
• autosaving builder
• responsive public forms
• preview mode for desktop, tablet, and mobile

Tech Stack

• Next.js
• React
• TypeScript
• Supabase
• Cloudflare Pages / OpenNext
• Upstash Redis
• Cloudflare Turnstile
• Gemma 4
• Tailwind CSS
• Framer Motion

What I Learned

The hardest part was not just calling an AI model.

The hard part was making AI output reliable enough for a real form builder.

I had to think about:

• schema consistency
• field ID stability
• conditional logic references
• page indexes
• form styling tokens
• malformed JSON
• cost control
• rate limiting
• user experience after generation
• editing existing forms without destroying user work

Gemma 4 was useful because it could reason across all these requirements and produce structured output that the app could actually use.

Why This Matters

Many small businesses, creators, schools, and teams need forms, but building good forms is still annoying.

Most form builders make users manually drag fields one by one.

Form Sync changes that flow:

1. Say what you need.
2. Upload an example if you have one.
3. Let Gemma 4 create the first version.
4. Edit it with natural language.
5. Publish and collect submissions.

That makes form creation faster, more accessible, and more creative.

What's Next

I want to keep improving Form Sync with:

• better AI form testing
• AI-generated analytics summaries
• more integrations
• stronger collaboration features
• form version history
• AI suggestions based on submission data
• local Gemma 4 support for private/offline form generation

Final Thoughts

This project showed me how powerful open models can be when they are placed inside a real workflow.

Gemma 4 is not just answering questions here. It is doing product work:

• understanding intent
• designing form structure
• reasoning about logic
• transforming images into schemas
• editing existing user-created forms

That is why I think Form Sync is a strong example of building with Gemma 4 at the center of the experience.