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ClariText

Inspiration

ClariText was inspired by a simple but important problem: many people struggle to understand complex documents such as bank letters, invoices, prescriptions, and official administrative papers.

For low-literacy users, elderly people, and multilingual communities, understanding these documents can be stressful and confusing. We wanted to create a simple AI-powered assistant that makes information understandable for everyone, regardless of reading level.

Our goal was clear: turn complexity into clarity.

What it does

ClariText helps users understand documents in a simple and accessible way.

Users can:

• Select their preferred language
• Upload a document or take a photo
• Automatically detect the document type (invoice, bank letter, prescription, etc.)
• Extract text using OCR
• Listen to AI voice guidance on every screen
• Choose between:
  • Simplified explanation
  • Short summary
• Retry extraction if OCR fails

The entire experience adapts to the selected language, including:

• UI text
• AI-generated explanations
• Voice narration
• Document type labels

This creates a fully accessible experience for low-literacy users.

How we built it

We built ClariText using MeDo, leveraging AI-powered workflows to create a mobile-first accessibility experience.

The app combines:

• OCR document extraction
• AI-powered text simplification
• Automatic document classification
• Multilingual voice narration
• Accessible UI with visual guidance (flags, icons, colors, illustrations)

We designed every screen with simplicity in mind:

• large readable text
• colorful accessible buttons
• voice narration on each screen
• loading states with spoken feedback
• back navigation on every page

Challenges we ran into

Building ClariText came with several challenges:

• Ensuring OCR extracts text reliably from different document formats
• Keeping language consistent across text, labels, and voice
• Designing for users who may not read easily
• Making AI voice guidance natural and helpful
• Creating a simple experience while keeping advanced AI features behind the scenes

What we learned

Through this project, we learned that accessibility is not just about technology — it is about empathy.

We learned how AI can:

• simplify communication
• reduce confusion
• empower people to understand important information independently

We also learned the importance of designing for clarity, voice interaction, and multilingual accessibility.

What's next for ClariText

Next, we plan to add:

• support for more languages
• offline OCR support
• document history
• emergency help understanding official forms
• voice interaction ("Ask ClariText")

Our vision is simple:

Make information accessible for everyone.

Built With

• accessibility-design
• ai
• medo
• multilingual
• ocr
• text-to-speech