How to choose your AI tool to create visual documents (Gamma, ChatGPT Image, Claude Design)

· Source: Génération IA · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Content Creation & Production · Depth: Intermediate, long

Summary

The article compares three AI tools for visual document creation: ChatGPT Image 2 (GPT-5), Claude Design (Claude Opus), and Gamma, based on several weeks of testing with presentations, infographics, and editorial PDFs. ChatGPT Image 2, powered by GPT-5, generates documents as images, offering significant graphic freedom and improved text accuracy, but has a 10-image per generation limit and low reproducibility. Claude Design, using Claude Opus, codes documents as HTML/CSS, ensuring typographic precision and editability, with a unique self-correction feature and "Tweaks" for dynamic manipulation, though it lacks illustration generation and can be tedious for minor corrections. Gamma employs a hybrid approach, providing speed and flexibility with block-by-block editing and various output formats, but offers less creative freedom and may loosely interpret graphic charters.

Key takeaway

For marketing professionals or consultants creating visual documents, your choice of AI tool should align with your project's core need. If graphic freedom for illustrated content like LinkedIn carousels is paramount, opt for ChatGPT Image 2. For strict brand adherence and editable corporate documents, Claude Design offers superior precision. When speed and an all-in-one solution for internal presentations are key, Gamma is highly effective, provided you accept its inherent aesthetic. Always define your graphic charter explicitly to guide the AI.

Key insights

The choice of an AI visual document tool depends on its underlying "philosophy": image generation, code-based rendering, or hybrid editing.

Principles

Method

For style extraction, use JSON with ChatGPT Image 2 from a reference visual. For building a style without a reference, use natural language prompts with self-questioning, distinguishing cover from interior pages.

In practice

Topics

Best for: AI Product Manager, Consultant, Marketing Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Génération IA.