How to Connect Altoviz to Google Sheets (4 Methods Compared)

The Problem with Getting Altoviz Data Into Your Sheet (and Back Again)

Altoviz handles your billing, your invoices, your quotes, your suppliers, and your product catalog. The data is in there. Getting it into a Google Sheet, or pushing sheet data back into Altoviz, is where things get slow.

The typical flow is this: you export a CSV from Altoviz, clean it up, import it into the sheet. Or you build a sheet, copy the values one by one into Altoviz's web interface, and pray nothing changes in the source data before you finish. For forty rows, that is an afternoon. For two hundred rows, it is a problem you put off until the auditor asks for it.

Altoviz covers a lot of ground — sale invoices, purchase orders, customer families, product catalogs, supplier management, credit notes. The data relationships between those objects (a customer has invoices, an invoice has products, a product has a VAT code) make any manual sync especially error-prone.

Below are the four ways people typically connect Altoviz data to Google Sheets. Only the last one handles both directions without requiring you to do the thinking.

Method 1: CSV Export From Altoviz, Then Paste Into Sheets

The default path. You log into Altoviz, navigate to the report or list you need, export a CSV, open the file, and paste the data into the relevant tab.

When this works:

• One-off reporting that does not repeat
• A small snapshot where the data does not change between export and paste
• You only need the data one direction (out of Altoviz)

When it breaks:

• You need to push data back into Altoviz — there is no CSV import path for most objects
• The data refreshes weekly and someone has to re-export every time
• The export includes more columns than you need and less than you actually want
• You need to merge the export with data from another tab to get the full picture

The deeper problem:the CSV only captures what Altoviz surfaces in its export UI. If you want aged-debt brackets, or a cross-reference against your bank transactions, or a count of unconverted quotes, you still have to build that analysis yourself after the import. The export gives you raw data, not answers.

Method 2: Use Zapier or Make to Sync When Altoviz Changes

The next step up is automation. You wire Zapier or Make to watch Altoviz for a specific event, a new invoice created, a payment received, a quote converted, and trigger a row write to the sheet.

This works for event-driven moments:

• New invoice created → log it to a tracking sheet
• Payment received → update a receipt register
• New customer created → add a row to a CRM sheet

This fails for analytical or batch work:

• Anything that needs to aggregate across many invoices at once
• Generating an aged-debt report across hundreds of rows
• Bulk-creating 40 customers and 40 invoices from a sheet in one pass
• Pulling customer families with their total invoiced amounts

Automation tools fire one event at a time. They do not read a sheet of 40 new client contracts and create 40 matching Altoviz records, then write the returned IDs back to the sheet. You also pay per task, and complex Altoviz workflows with multiple objects can chain quickly.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable Altoviz data workflows was a category of connector add-ons that gave you a configured sync between a sheet and a cloud accounting or billing tool. You mapped your columns, you saved the configuration, you ran the sync on a schedule.

That was a real step up from copy-paste. The mapping was reusable, the data came in consistently, and the team did not have to babysit the import every time.

But you were still responsible for the logic. Which invoices to pull. Which customers to create. How to handle mismatches. How to flag records that failed. The add-on moved the data, but the analysis, the cleanup, and the conditional rules were still yours to build. And when Altoviz's API changed, or your sheet structure changed, the mapping broke until someone rewired it.

This is the category we think of as the previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Google Sheets

There is a different way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands the data structure, and through its built-in Altoviz integration it can create records, pull reports, reconcile rows, and write results back, all in one prompt. No field mapping, no connector configuration, no sync schedule to manage.

Example 1: Your Data Is Already in the Sheet

You have a sheet of 40 new client contracts, company name in column A, email in column B, service in column C, amount in column D, and column E is blank waiting for the invoice ID.

Read company name, email, service, and amount from rows 2 through 41 of this sheet. Create an Altoviz customer and a draft sale invoice for each row. Paste the returned invoice ID into column E for each row.

SheetXAI reads the sheet, creates each customer and invoice in Altoviz, and writes the invoice IDs back row by row. You are not watching the process. By the time you check back, column E is full.

Example 2: Your Data Lives in Altoviz

Sometimes you are going the other direction — pulling from Altoviz into the sheet for analysis.

Fetch all Altoviz sale invoices with status "unpaid". Write invoice number, customer name, amount, and due date into my "Aged Debt" sheet. Add a column labeling each row as 0-30, 31-60, 61-90, or 90+ days overdue. Then add a pivot table at the bottom showing total overdue amount per bracket.

SheetXAI fetches the invoices, writes the rows, applies the aging logic, and builds the summary table. One prompt, end to end, with the sheet as the working layer.

Which Method Should You Use

For a single one-off export you are doing today and never again, the CSV export path is fine. For event-driven logging where a new Altoviz record should always add a row somewhere, Zapier or Make are a reasonable fit.

For everything else, batch creation, aged-debt analysis, supplier onboarding, catalog imports, bank reconciliation against receipts, SheetXAI is the only option that does the thinking for you. It understands what the rows mean, it handles the conditional logic (skip this row if column F already has a value), and it writes results back exactly where you tell it to.

If you are doing this work more than once a month, or if you have more than 20 rows to move, the manual path will cost you more time than it saves.

Try It

Get the 7-day free trial of SheetXAI and ask it to connect your Altoviz account to any sheet you already have open. The Altoviz integration is included in every plan.

For specific workflows, see how to bulk-create customers and invoices from a sheet, how to run an aged-debt analysis from Altoviz data, or browse the full integrations directory.