Skip to content
BookkeeperLensDemo — synthetic data only

Alternative to 1-800Accountant

BookkeeperLens vs 1-800Accountant: Which is Right for You?

Consider BookkeeperLens if you want to automate your bookkeeping and have a clear, accurate picture of your finances without ongoing monthly fees.

1-800Accountant offers annual plans that pair you with an accountant for ongoing support and guidance. This can be beneficial if you need personalized advice and assistance with complex accounting tasks.

BookkeeperLens, on the other hand, is a self-service tool that automates bookkeeping tasks, providing a clear and accurate picture of your finances. It's ideal for small business owners who want to take control of their bookkeeping and save time and money.

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 BookkeeperLens suitable for complex accounting tasks?
BookkeeperLens is designed for automating routine bookkeeping tasks, but it may not be suitable for complex accounting tasks that require personalized advice and assistance. In such cases, 1-800Accountant's annual plans with an accountant may be a better option.
Can I use BookkeeperLens for free?
Yes, BookkeeperLens is free to use, but a done-for-you cleanup is optional and priced per project.
Does BookkeeperLens produce a balance sheet?
Yes, BookkeeperLens produces a balance sheet that balances with the trial balance, thanks to its double-entry ledger built in code.

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

More in alternatives

See all alternatives →

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