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

The Problem With Getting Sheet Data In and Out of Elorus

You have a Google Sheet full of billing data — client IDs, project line items, amounts, currencies, due dates. You need it turned into Elorus invoices, or you need your existing Elorus records pulled back out into a sheet for your accountant. Neither direction is as quick as it should be.

Elorus is good at managing invoices, expense bills, estimates, contacts, and time entries for small teams and freelancers. But the bridge between it and your spreadsheet requires you to do the carrying. The default flow is: export a CSV from Elorus, paste it into your sheet, fix the column headers, and repeat in reverse when you need to write data back.

Below are the four ways teams handle this. Only the last one removes you from the loop.

Method 1: Manual Copy-Paste

You open Elorus, navigate to the invoices list, hit export, download the CSV, open it in a separate window, copy the columns you need, and paste them into your working sheet. If you need the reverse — creating invoices from a sheet — you click "New invoice" in Elorus and type each field by hand.

Do that once for a small client list and it takes maybe fifteen minutes.

Do it at the end of every month for thirty clients, each with multiple line items, and you're looking at a Tuesday afternoon gone. The format mismatches creep in. The currency fields don't paste cleanly. A client name in the sheet doesn't match exactly what's in Elorus and you spend twenty minutes debugging a row that wasn't wrong, just slightly differently capitalised.

Method 2: Zapier or Make

Both Zapier and Make have Elorus connector options. You can set up a trigger — a new row appended to a sheet, a schedule, a form submission — that fires an action against the Elorus API.

Before you go further: do you know what a trigger-action pair is? What field mapping means? How OAuth tokens work between two platforms? If those words feel like a different language, skip to Method 4 — you'll get there in a fraction of the time.

If you're still here: the setup is real. Pick a trigger, map each column to its Elorus equivalent, handle the authentication, and test with one row. When it works, it's solid.

But a trigger-per-row automation is not the same as a batch operation.

Creating thirty invoices means thirty separate Zap runs, thirty API calls, and a task history that becomes very hard to debug when row twelve returns a validation error and the rest silently skip.

You probably just need your billing sheet turned into invoices before Friday. You probably have no idea which Make tier includes the Elorus module — and figuring that out takes longer than the task itself. So you ping whoever on your team builds automations, and now you're waiting for them to get back to you between their other priorities.

Once you need to filter by currency, aggregate by client, or join against a second tab, you've also left behind what these tools natively support.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable spreadsheet ↔ Elorus workflows was a category of add-ons that let you configure column mappings, save templates, and run syncs manually. You picked your sheet range, tagged which column was "client_id" and which was "amount," saved the config, and ran it.

That was genuinely better than copy-paste. The output was consistent, your accountant got the same format every month, and you didn't have to rebuild the export each time.

But you were still responsible for designing the template, deciding which rows to include, mapping every field, and maintaining the config whenever your sheet structure changed. The tool moved the data. All the judgment was still on you. And the moment a column was renamed or a new currency appeared, the sync broke until someone went back in to fix it.

This is the previous generation. It worked, but it required constant maintenance from the person running it.

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 your data, understands the structure, and through its built-in Elorus integration it can create invoices, fetch records, update contacts, or pull bills — all from a prompt you type in natural language. No template config, no automation glue, no toggling between tabs.

Example 1: Bulk invoice creation at month end

Create an Elorus invoice for each row in the "Billing" tab — columns are client_id (A), issue_date (B), currency (C), line item description (D), and amount (E) — and write the returned invoice ID to column F

Each row becomes a separate Elorus invoice. The invoice IDs land in column F so you have a full audit trail right in the sheet.

Example 2: Pulling all outstanding invoices for an accountant handoff

Fetch all unpaid Elorus invoices and write each one's invoice number, client name, total amount, currency, and issue date into the "Unpaid" tab starting at row 2

The pattern: instead of exporting a CSV and reformatting it yourself, you describe the destination in your own words and the data lands there ready to send.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with billing data or client records, then ask it to do one of the tasks above. The Elorus integration is included in every SheetXAI plan.