AI-Powered Document Assistant (Text Extraction + Smart Feedback)

Customer: AI | Published: 27.01.2026

Looking for building a single code-base application that runs on the web, iOS, and Android. Users must be able to drag-and-drop or select both PDF and image files, have the text automatically extracted, compared, and then receive a concise, AI-generated summary that highlights the most important points and recommended next steps. Core workflow 1. Upload: unlimited PDFs or images in one batch. 2. Extract & compare: text pulled with OCR where needed, deduplicated, and cross-referenced. 3. Summarise: OpenAI and Anthropic APIs create an overall synopsis plus actionable insights. 4. Deliver: summary appears instantly on a personal dashboard, with an option to download or share. Key product features • User dashboard showing recent uploads, summaries, subscription status, and alerts. • IP-based country detection to switch default language and currency. • Basic tiered subscription with free trial limits, Stripe or similar for billing. • Multi-language UI and summarisation output (i18n friendly). • Private notes on any summary, taggable for quick retrieval. • Timeline-based alerts (e.g., “revisit this file in 30 days”). Tech preferences • Front-end: Next.js with React Native Web to maximise code reuse. • Back-end: Node.js (preferred) or Python micro-services. • AI layer: OpenAI + Anthropic APIs, modular so we can swap or A/B test. • Storage: AWS S3 or Firebase for file uploads; Postgres or Firestore for metadata. Deliverables • Fully functioning cross-platform app (web build + iOS/Android binaries). • Clean, documented code in a private Git repo. • Postman collection or Swagger docs for all endpoints. • Deployment scripts (Docker / Vercel / AWS) and minimal CI/CD pipeline. • One-page setup guide and a short Loom video walkthrough. If you’ve shipped cross-platform Next.js or React Native apps that integrate generative AI services and secure file handling, I’d love to see your work and discuss timelines.