This Simple Trick Fixes NotebookLM Infographics

Notebook LM Infographic Challenges
📌 Notebook LM is a powerful research tool, but its "Detailed" infographic generation often results in misspellings, jumbled text, and hallucinations due to its current beta status.
⚠️ While "Concise" and "Standard" settings typically produce error-free results, highly complex infographics often contain illegible text or nonsensical labels when processing multiple sources.
🛠️ Native editing features within Notebook LM do not currently support infographic modification, unlike its slide deck feature, necessitating external correction methods.

Fixing AI-Generated Graphics with ChatGPT
🤖 Uploading the flawed image to ChatGPT and providing a simple prompt like "Generate this exact infographic with all text errors corrected" effectively recreates the graphic with accurate spelling and formatting.
🔄 For complex images, if the first attempt fails to correct every detail, download the output and upload it again; a second iteration almost always produces a perfect, high-fidelity version.
🎨 ChatGPT excels at retaining the original artistic style (e.g., comic book, kawaii, or anime) while simultaneously fixing grammatical and mathematical errors, such as correcting scientific notation like $10^{300}$.

Key Points & Insights
➡️ Leverage ChatGPT for refinement: Even if your first attempt at fixing an image leaves a few artifacts, re-uploading the corrected version back into ChatGPT consistently resolves remaining issues.
➡️ Contextual intelligence: ChatGPT can identify and rectify non-sensical data or incorrectly labeled diagrams by analyzing the logical flow of the infographic’s content.
➡️ Workflow efficiency: While you could potentially generate graphics directly in ChatGPT, continuing to use Notebook LM remains superior for users who have already organized their specific research sources and notebooks within that platform.

📸 Video summarized with SummaryTube.com on Jun 20, 2026, 10:06 UTC