An AI-Powered Mobile App to Chat with Documents Across Multiple Languages
The client needed a mobile app to read multi-format documents, extract text via OCR, and enable natural-language interaction with that content. We built AIDOC – a generative AI application with multilingual support, cloud storage integration, and folder-level AI chat.
Platform FEATURES
The Capabilities We Built Across Document
Management, AI Chat, and Multilingual Interaction
File Management and Cloud Integration
We built a file management system within the app that lets users organise documents into folders and manage them from a single interface. We integrated Google Drive and Dropbox so the app could pull documents from external cloud sources directly. Files and folders are maintained within the app across sessions.
AI-Powered Document Chat
We integrated OpenAI APIs and tuned the models to read and understand document content across multiple file formats. The app returns answers to natural-language questions with exact page and section references drawn from the source document. We also built predefined action prompts – such as summarisation and conclusion extraction – to handle common document tasks without manual input.
Folder-Level AI Querying
We designed the AI layer to operate across all files within a folder simultaneously. The Ask AI feature directs queries at an entire folder, pulling consolidated answers from multiple documents in a single response.
Multilingual Document Interaction
We built a multilingual system that allows the app to process document content and return AI responses in multiple languages. Users can select their preferred language from within the app and receive translated responses. The system was built to handle language switching at the response level.
OpenAI Model Integration and Tuning
We integrated OpenAI APIs and tuned the models specifically for document comprehension. The tuning process was focused on accuracy and versatility across the document content the app was built to handle.
OCR-Based Text Extraction
We built OCR into the app to extract text from images and scanned documents, making image-based and scanned content readable by the AI layer without any manual conversion step.
Multi-Format File Support
We engineered the app to handle PDF, DOCX, and TXT files consistently across the AI chat and extraction layers.
Multilingual AI Responses
We built the response layer to deliver AI answers in the user’s selected language. The app processes the document and returns the output in the language the user has chosen.
Source-Referenced AI Responses
We built the AI to return answers with direct references to the page and section they were drawn from. Responses include a reference to the specific location within the source document they were drawn from.
Predefined Action Prompts
We built a set of predefined prompt shortcuts – including summarisation and conclusion extraction – directly into the chat interface to reduce manual input for common document tasks.
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Tools & technologies
The Tools and Technologies Behind AIDOC
We built AIDOC on a mobile-first stack, integrating OpenAI for document intelligence and AWS for cloud infrastructure.
What Our Client Says
Excellent company to create Android and iOS apps. Good graphic designers and developers.
Co-founder · Software Development Company · Italy
