Can AI tools categorize high-volume bookkeeping transactions?
Throwing thousands of transaction lines at AI tools overwhelms them, leading to a disorganized mess and invented information. Because hallucinations make the output only 90% accurate, you are forced to manually verify every suggested category. This prevents you from actually saving time on your bookkeeping.
What people tried
Every workaround mentioned in the threads below. We haven’t tested any of them — and nobody here is claiming they worked.
Found another way around this?
Share your steps and trade-offs so fellow engineers don't have to reinvent the wheel. No account required.
- 1chunking things into smaller batches like 200-300 transactions at a timeDid this help you?
- 2using AI as a tool without making it access the databaseDid this help you?
- 3Using paid version of Claude (Opus 5.5)Did this help you?
- 4Using proprietary models that live within a private network to avoid public AI data privacy issuesDid this help you?
In their words
Unedited, grouped by where they were said, most upvoted first within each place, each linked to the thread it came from.
“I'm looking for some advice from people who have used AI for bookkeeping and transaction categorisation.”source ↗
“In total, I'm probably looking at around 1,500–2,000 transaction entries.”source ↗
“To save time, I'd like to use AI to go through the transactions and suggest the appropriate bookkeeping categories, such as travel, motor expenses, professional fees, office expenses, subscriptions, repairs and maintenance, etc.”source ↗
“I've experimented with ChatGPT, Gemini and Claude. I've found that ChatGPT and Gemini have occasionally made mistakes or even invented information.”source ↗
Where this came up
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- 24Why does fixing AI mistakes take longer than doing it myself?