Difficulty Finding Appropriate Image Editing Software

Build the frontend as a React 18 SPA using TypeScript and Tailwind CSS for rapid UI composition. Leverage React‑Query for data fetching caching and optimistic updates. Implement a filter panel with Ant Design’s Transfer component to allow multi‑select criteria. For the side‑by‑side matrix, use ag‑Grid’s enterprise‑free mode to render a dynamic column layout with custom cell renderers for icons and rating stars. The backend runs on Node.js 20 with Fastify for low‑overhead routing. Create three micro‑services: (1) scraper‑service (Python 3.11) using Scrapy + Playwright for JavaScript‑heavy product pages; store raw HTML in a DuckDB file store; (2) parser‑service (Node) that loads the DuckDB via duckdb-node, extracts structured fields using XPath and regex, then normalizes into a PostgreSQL 15 schema; (3) API‑gateway (Fastify) exposing REST endpoints (/catalog, /filter, /compare) secured with JWT. Schedule scraper runs via a Kubernetes CronJob every 12 h, respecting robots.txt and using rotating residential proxies from ScraperAPI. Integrate third‑party rating data via G2’s public API (OAuth2 client credentials). Deploy the stack on AWS Fargate, front‑end on CloudFront with S3 static hosting, and use AWS Secrets Manager for API keys. CI/CD pipelines use GitHub Actions with Docker build‑push to ECR.

The tool consolidates disparate data sources into a single, queryable catalog, cutting the manual research phase from hours to minutes. By automating feature extraction and normalization, it eliminates human transcription errors and ensures up‑to‑date information. The matrix comparison reduces decision latency, enabling designers to start projects faster and select editors that match hardware constraints, thereby lowering the risk of costly trial‑and‑error installations. Overall, the platform streamlines the procurement pipeline and improves resource allocation across design teams.