This page is designed to help you find out whether aicvscreening is good and if it is the right choice for you.
AI CV Screening helps recruiters, founders, and hiring managers quickly process large volumes of resumes. Instead of manually reviewing hundreds of CVs, upload candidates and get ranked results with detailed insights.
How it works: - Add a job description - Upload CVs (.PDF, .DOCX, .TXT, .MD) or a .ZIP with multiple files - Automatically screen and rank candidates
Key features: - Candidate scoring based on job fit - Clear explanations (why a candidate matches or not) - Pros & cons for each CV - Extracted contact details - Sort and filter candidates - Export results to .CSV
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AI-powered CV screening
Analyze and match resumes against a job description automatically
Candidate ranking & scoring
Get a ranked list of candidates based on job fit
Explainable results
See why a candidate matches, including strengths and gaps
Anyone who needs to review many CVs efficiently.
AI CV Screening focuses on speed, clarity, and actionable insights, not just keyword matching.
Instead of simply filtering resumes, it: - ranks candidates by real job fit - explains why each candidate matches or doesn’t - highlights pros & cons for quick decision-making - works with multiple file formats and bulk uploads (.ZIP)
It’s built to replace manual CV review, not just assist it.
Most tools are complex ATS platforms or basic keyword filters.
AI CV Screening is different because it: - requires no setup or integrations - works instantly with uploaded CVs - provides transparent scoring (not a black box) - is optimized for fast decision-making (100 → top candidates in minutes) - offers a generous free tier (50 CVs)
It’s ideal for teams that want results quickly without heavy systems.
AI CV Screening was built out of frustration with manual resume review.
Reviewing dozens (or hundreds) of CVs is repetitive, time-consuming, and often inconsistent. Even with existing tools, the process still required too much manual effort.
The goal was simple: turn CV screening into a fast, structured, and automated process
Instead of reading every resume, users can focus only on the best candidates.
AI CV Screening is built on a modern, AI-ready SaaS stack (based on GoLiveKit), focused on speed, scalability, and type safety.
Core technologies: - Next.js + React - full-stack framework with server-side rendering and modern UI architecture - Node.js - backend runtime for server logic - TypeScript - end-to-end type safety
Database & backend: - PostgreSQL - relational database - Prisma ORM - type-safe database access
AI layer: - AI SDK (LLM APIs) - for CV analysis, scoring, and explanations
API & data handling: - oRPC - type-safe API layer - React Query (TanStack Query) - data fetching and caching
Frontend & UI: Tailwind CSS + shadcn/ui - styling and component system - Radix UI - accessible UI primitives
Validation & quality: - Zod - schema validation - Biome - linting and formatting - Vitest - testing
Authentication & infrastructure: - Better Auth - authentication and session management - Cloud storage (S3-compatible, e.g. R2) for file uploads
This stack enables fast development, strong type safety, and seamless integration of AI features.
AI CV Screening appears to be a tool designed to automate resume/CV screening using AI, which can be useful for streamlining recruitment, though I don't have verified, up-to-date information confirming its specific performance, pricing, or user satisfaction since I lack direct access to current reviews or real-time data about this specific platform.
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