TallyPrime and HubSpot integration

What moves between them

The main flow runs from TallyPrime into HubSpot. ml-connector polls TallyPrime's Day Book or Voucher export on a schedule you define (typically 30 minutes to several hours), extracting customers from Ledgers, invoices from Sales Vouchers, and payments from Payment Vouchers. These are mapped to HubSpot contacts and companies by matching customer names, with invoices created as HubSpot invoice objects and associated to the contact and line items. If a customer or invoice already exists in HubSpot by name or external ID, it is updated rather than duplicated. Payment information flows in the same direction, recording against invoices for reconciliation.

How ml-connector handles it

ml-connector requires a local agent running on the same LAN as TallyPrime to bridge the cloud connector to port 9000; without it, the integration cannot reach TallyPrime. Because TallyPrime is single-user and sequential, ml-connector issues all requests one at a time, never in parallel, to avoid race conditions that could corrupt data or cause the application to return incomplete results. On the TallyPrime side, it polls using date-range filters (SVFROMDATE, SVTODATE) and compares returned Voucher IDs against the last-seen state to detect new and modified records. On the HubSpot side, it batches creates and updates to respect the 100-record batch cap, uses Private App tokens for authentication, and enforces the association rules: invoices must be linked to a contact (the customer) and to line items created from the voucher line items. Customers are matched by name or stored external ID to avoid creating duplicates. ml-connector runs on your schedule (typically every 30 minutes to several hours) rather than relying on a push from TallyPrime, and it logs every record processed so failed syncs can be replayed.

A real-world example

A mid-sized consulting or services firm in India runs TallyPrime on a local Windows server for invoicing, GST compliance, and accounts payable. They also use HubSpot to track customer relationships, deal stages, and follow-ups. Before the integration, the accounting team exported customer lists and invoices from TallyPrime each week and manually uploaded them to HubSpot, creating duplicate data entry and delays. Sales teams in HubSpot could not see which customers had outstanding invoices from TallyPrime, and the finance team could not track which deals in HubSpot had been invoiced. With TallyPrime and HubSpot connected, new customers and sales invoices from TallyPrime automatically appear in HubSpot within the sync window. Sales teams see the full customer history including outstanding invoices, and finance can reconcile HubSpot deals to TallyPrime invoices without manual lookups.

What you can do

• •Sync customers from TallyPrime Ledgers to HubSpot contacts and companies, matching by name to avoid duplicates.
• •Create and update HubSpot invoices from TallyPrime Sales Vouchers, with line items and customer associations.
• •Record payments from TallyPrime Payment Vouchers against HubSpot invoices for cash reconciliation.
• •Poll TallyPrime on a schedule via date-range filters, with sequential requests to respect single-user constraints.
• •Maintain a full audit trail of every customer, invoice, and payment synced so failed records can be replayed.

Questions

Does the integration require anything special to connect to TallyPrime running locally?

Yes. TallyPrime's HTTP server is only LAN-accessible, so a local agent running on the same machine or LAN as TallyPrime must bridge the cloud connector to port 9000. Port 9000 must also be manually enabled in TallyPrime Settings; it is not enabled by default. The integration will fail if the agent is not running or port 9000 is blocked.

Why does ml-connector issue requests to TallyPrime one at a time instead of in parallel?

TallyPrime is a single-user desktop application, and concurrent requests can cause inconsistent behavior or incomplete results. ml-connector maintains sequential ordering so each request completes before the next one starts, protecting data integrity and ensuring the full result set is returned for each query.

How does the integration match customers and prevent duplicates in HubSpot?

Customers are matched by name or by an external ID stored in both systems. If a customer with the same name already exists in HubSpot, ml-connector updates that contact rather than creating a duplicate. This logic applies to invoices as well, so a TallyPrime invoice synced twice will not create two invoice records in HubSpot.