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Echo OCR

OCR-powered response card scanner and management tool for Echo Life Church.

Scans front/back of paper response cards (PDF or images), extracts structured data using a local Ollama vision model, stores results in PostgreSQL, and serves them through a modern filterable table UI.

Stack

  • Next.js 15 (App Router) + Tailwind CSS v4 + shadcn/ui
  • TanStack Table for data tables with filtering, sorting, pagination
  • Prisma + PostgreSQL for data storage
  • Ollama (local LLM) for OCR via vision models (LLaVA 7B recommended)
  • MinIO (S3-compatible) for PDF/image storage
  • Docker for deployment via Coolify

Local Development

Prerequisites

  • Node.js 18+
  • Docker + Docker Compose (for PostgreSQL + MinIO)
  • Ollama running locally with a vision model (ollama pull llava:7b)
  • GraphicsMagick (brew install graphicsmagick) for PDF-to-image conversion

Setup

# Install dependencies
npm install

# Start local PostgreSQL + MinIO
docker compose up -d postgres minio

# Create MinIO bucket (visit http://localhost:9001, login minioadmin/minioadmin)

# Push database schema
npm run db:push

# Start dev server
npm run dev

Open http://localhost:3000.

Environment Variables

Copy .env.example to .env and configure:

cp .env.example .env

Deployment (Coolify)

See the deployment section in the project plan for step-by-step Coolify setup instructions including PostgreSQL, MinIO bucket creation, Ollama configuration, and Traefik routing.

API Endpoints

Method Path Description
GET /api/cards List cards (filters, pagination, search)
POST /api/cards Create a card
GET /api/cards/[id] Get card with presigned image URLs
PUT /api/cards/[id] Update card fields
DELETE /api/cards/[id] Delete card and images
POST /api/cards/[id]/export Mark card as exported
POST /api/upload Upload PDF/images for OCR
GET /api/jobs List processing jobs
GET /api/stats Card count statistics
GET/PUT /api/settings App settings
POST /api/watch Start/stop folder monitoring
GET /api/images/[...path] Proxy images from MinIO