Is this the fastest way to turn a pile of invoices into clean data?
I’ve just published a new video showing a feature that genuinely surprised me… Data Tables inside NotebookLM. I finished filming a course… and the very next day this dropped. For accountants and bookkeepers, this could be one of the most practical upgrades we’ve seen in a long time. Why this video is worth watching: • You’ll see how a folder full of invoices can be turned into a structured data table in seconds, not minutes • You’ll discover why this is far quicker (and cleaner) than doing the same task with Agent Mode in ChatGPT • You’ll see a real example where the tool automatically spotted duplicate invoices vs receipts and fixed the problem for me I walk through the exact workflow, what worked, what I tested as an accountant, and why this opens up some very interesting possibilities… not just for expenses, but for lots of other types of data too. 📺 Watch the video here Now over to you… Once you’ve watched it, comment below and share: • What do you think of the new Data Tables feature? • What data would you want to analyse this way? • What use cases can you already see in your own work? Share your ideas so everyone can learn from them.