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GenogramAI

AI-powered genogram and ecomap builder

Overview

About GenogramAI

GenogramAI is an AI-powered tool for creating genograms and ecomaps - the specialized family-tree diagrams used in therapy, social work, medicine and education to map relationships, patterns and histories across generations. A genogram is more than a family tree: it encodes relationship quality, medical conditions, emotional patterns and life events using a standardized set of symbols, and building one by hand in a generic diagram tool is slow and error-prone. GenogramAI reframes the task around AI: you can describe a family in plain English, upload a photo of a hand-drawn sketch, or import a structured file, and the tool constructs an editable, standards-compliant genogram on an infinite vector canvas. With tens of thousands of genograms already created on the platform, it positions itself as a purpose-built alternative to repurposing Lucidchart, Canva or draw.io for clinical diagramming.

The product pairs that AI generation with a serious stance on data, which matters because genograms often contain sensitive health and family information. It offers AES-256 encryption at rest for cloud data and a Clinical Mode with zero-knowledge, device-local encryption so a practitioner's most sensitive files never leave their machine in readable form. The canvas uses a modern vector engine for smooth panning, zooming and lossless export at any resolution, and relationships connect automatically as you add partners, parents and children. It adheres to standard genogram symbol and structural guidelines so the output is accepted by professional bodies, and it ships extensive examples, templates and guides. That combination of three AI import paths, clinical-grade privacy and standards compliance is what differentiates it from general-purpose diagram software.

Pricing

Free tier
  • Free$0/mo
  • Professional$8.25/mo
  • Clinical$19/mo

From the vendor pricing page, 2026-10-04

Details

Founded 2024
Rating 4.9/5 from 164 reviews
Data from: Website•Updated: Oct 4, 2026
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