I’ll be honest, NotebookLM is one of my favorite tools, but the detailed infographics drove me a little nuts. The visuals look stunning, then you zoom in and see “aftitude” instead of “altitude,” or the S in NASA looking like it had a rough night. Total mood killer when you’re about to share something polished.
Then I stumbled on a clip from Futurepedia that solves it in about 30 seconds.
The creator behind the video walks through a dead-simple workaround using ChatGPT, and I was honestly surprised at how clean the results came out. No Canva wrestling, no manual pixel pushing, no rebuilding the whole thing from scratch.
Here’s the breakdown, in plain language.
The usual approach versus this one
Most people try to fix broken NotebookLM infographics one of two ways, and both fall apart fast on complex layouts.
- The old way: Open the image in Canva and use Magic Layers to separate the design into editable pieces. The author tested this and it works fine on simple infographics, but on detailed ones it deletes elements, swaps fonts, and just gives up on text it can’t parse.
- The other old way: Generate the infographic in ChatGPT from the start. Doable, but you lose all the NotebookLM goodness, your sources, your notebooks, the citations, the studio panel features.
- The new way: Keep generating in NotebookLM, then hand the finished image to ChatGPT and ask it to regenerate with the errors corrected. That’s it.
The contrast is what sold me. One path tries to edit the broken image. The other regenerates the whole thing cleanly.
The exact steps the creator uses
This is the part you can copy straight into your workflow today.
- Generate your infographic in NotebookLM like normal. Pick your style, your sources, your detail level.
- Download the image, errors and all.
- Drop it into ChatGPT with this prompt: “Generate this exact infographic, but with every error in the text corrected.”
- Review the result carefully. On simple ones, it nails it first try.
- If there’s still a stray glitch, download the new version and run the same prompt on it again. The author found regenerating works way better than asking ChatGPT to spot-fix a single section.
- Optional, if one specific word is still off, use the select tool in ChatGPT to highlight that area and describe the fix.
That second pass is the trick most people miss. Editing introduces new artifacts in other parts of the image. Regenerating from the corrected version keeps the whole layout clean.
✨ Why this works so well
ChatGPT’s image model is genuinely strong at reading messy text, inferring what it should have been, and rebuilding the visual with the right words baked in. The original poster showed examples across comic book, kawaii, and anime styles, and the model held the visual style every time while fixing the typos.
It even catches logic errors. In one science infographic, ChatGPT’s thinking process flagged that “30 side chains” should be “20,” and corrected a number from 10 to the 300 in a folding paradox section. It’s not just spellcheck, it’s reading for sense.
A few things worth knowing
- Contrast may bump up slightly compared to the NotebookLM original. The creator didn’t mind it. Worth a glance before you publish.
- It works on the free ChatGPT plan. The author tested both free and paid and said results were basically identical.
- For really busy infographics, expect two passes. One to fix the big stuff, one to clean up whatever got reintroduced.
- If a section still reads as nonsense after the fix, just tell ChatGPT to rewrite that section based on the rest of the infographic. It’ll relabel and rephrase to match.
Where this actually helps
If you’re using NotebookLM for client work, internal training decks, social posts, or lead magnets, this unlocks the detailed infographic mode that most people avoid because of the text glitches. That’s the mode with the richest visuals and the most information density, the one you actually want to share.
Good use cases:
- Newsletter visuals that summarize a long research piece
- LinkedIn carousels built from your own source library
- Internal one-pagers from messy PDFs and reports
- Study guides and visual notes from books or papers
My honest take
I was bracing for a complicated fix, and instead it’s two prompts and a download button. The creator kept the whole demo refreshingly low-drama, no upsell, no fancy plugin, just a workflow that respects your existing tools.
If you’ve been avoiding the detailed mode in NotebookLM because of typos, this changes the math. Generate freely, fix in ChatGPT, ship clean.
Go watch the full video for the side-by-side comparisons, the comic book and kawaii examples are wild.