Is this the fastest way to turn a pile of invoices into clean data?

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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.

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