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BookkeeperLensDemo — synthetic data only

Alternative to Collective

BookkeeperLens vs Collective: Which is Right for Your Business?

Consider BookkeeperLens if you need a more automated and detailed cleanup of your business transactions, especially if you have multiple bank accounts or a large number of receipts to match.

Collective is a great choice for solopreneurs with a simple S-corp setup, as it's built specifically for their needs. However, if your business has grown or you need more advanced features, BookkeeperLens may be a better fit.

BookkeeperLens uses machine learning to categorize transactions and reconcile your accounts, providing a more accurate and efficient cleanup process. This can save you time and reduce errors in your financial records.

See what's actually wrong with your books

Upload statements and receipts, or run the demo on a fabricated business first. The full report is free — the score, the fix list and every number's source.

Questions people ask

Is Collective more affordable than BookkeeperLens?
Collective is free to use, while BookkeeperLens offers a free version with optional paid cleanup services. Pricing for the paid services varies depending on the project scope.
Can I use BookkeeperLens if I'm a solopreneur?
Yes, BookkeeperLens can be used by solopreneurs, but it may have more features than you need. Collective is a more tailored solution for solopreneurs with simple S-corp setups.
Does BookkeeperLens integrate with other accounting tools?
BookkeeperLens is a standalone tool, but it can export data in CSV format for use in other accounting software. Integration with other tools is not currently available.

Would rather not do it yourself?

The report is free either way. If you want the fixes done for you, catch-up cleanup is priced per project — a light backlog and a messy year are not the same job — with no monthly commitment.

Bookkeeping for your line of work

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General information about how bookkeeping and Schedule C categorization work — not tax advice. BookkeeperLens is a demo running on synthetic data.