The Complete Tally Automation Guide: PDF Invoice Entry, GSTR Import, Custom TDL & MIS Reports

The question: vendor invoices arrive as PDFs in the accounts inbox or as scans dropped into a shared drive. An accountant opens each one, types vendor name, invoice number, date, line items, GST split, and total into the Tally purchase voucher screen. Fifteen invoices a day at three minutes each is 45 minutes of typing - and the typo rate climbs the longer the day goes.

The KolossusAI workflow:

• Parse the PDF. KolossusAI extracts vendor name, GSTIN, invoice number and date, line items (description + HSN + quantity + rate + amount), GST split (CGST + SGST or IGST), and total. Works on machine-generated PDFs and on scanned PDFs via OCR.
• Match against vendor master and PO. Fuzzy-matches the parsed vendor against your Tally vendor ledger. If there is an open PO for that vendor with matching line items, it cross-references.
• Propose the Tally voucher. The team sees the parsed entry next to the original PDF in the review queue - one tap to approve, one tap to edit, one tap to reject.
• Write to Tally on approval. Uses the native HTTP-XML write-back to Tally Prime. The voucher lands in Tally exactly as if someone had typed it. Audit log records who approved and when.

Real example: "Our courier vendor sends 22 to 30 invoices a month, each with 8 to 12 shipment lines. The accountant was spending three hours a week on those alone. Now the AI parses each PDF the moment it lands, the accountant approves them in a 15-minute review session, and they post to Tally automatically."

The question: every month the team downloads GSTR-2A / 2B from the GSTN portal as a JSON file. Reconciling that against Tally's purchase register is a two-day job per GSTIN - line-by-line in Excel, chasing the mismatches by phone, eventually entering the missing purchases by hand. The Input Tax Credit at risk is real money.

The KolossusAI workflow:

• Parse the GSTR JSON. Reads every B2B invoice line in the file - vendor GSTIN, invoice number, date, taxable value, GST split.
• Match against Tally purchase ledger. Per-GSTIN reconciliation. Surfaces three categories: matched (already in Tally), mismatched (in Tally but with different value or GST), missing (in GSTR but not in Tally).
• Autofill or review. For the "missing" category, KolossusAI proposes the purchase voucher for each missing line. The team reviews, approves, and the entries write to Tally via the native HTTP-XML interface. For mismatches, the AI surfaces the specific value or GST gap so the team corrects it at the source.
• Per-GSTIN closure report. At the end of the cycle, the team has a reconciliation summary per GSTIN they can hand to the CA - matched value, mismatch value, missing value, and the corrective entries booked.

Real example: "GSTR-2B reconciliation used to consume two days of senior accountant time every month, per GSTIN. With 4 GSTINs across our group, that was 8 person-days a month gone. Now it takes half a day - the AI does the matching overnight, the team reviews the mismatch list in the morning."

The question: the owner asks for "customer ageing split by branch with last receipt date" - Tally does not have that report. Traditionally the path is: brief a TDL developer, wait two weeks, pay 15 to 25 thousand rupees, get a .tdl file, drop it in Tally's TDL folder, the report appears in the menu. Repeat for every new custom report. The 12-report list from the custom Tally reports playbook captures the full pattern.

The KolossusAI workflow:

• Describe the report in plain English. "Customer-wise outstanding above 60 days grouped by sales region with last receipt date and credit limit". The team types the requirement; no TDL syntax knowledge needed.
• KolossusAI generates the .tdl file. The AI writes the TDL definition that matches the requirement - field definitions, grouping, filters, presentation. Generated TDL is plain text following Tally's TDL specification.
• Drop into Tally's TDL folder. Standard Tally install path. Restart Tally; the new report shows up in the menu permanently. No developer, no two-week wait, no per-report consultant ticket.
• Iterate. If the report needs a tweak (add a column, change a filter), describe the change in plain English; KolossusAI re-generates the TDL.

Real example: "We needed a customer-wise margin report after credit notes for our top 50 accounts. The local TDL developer quoted ₹18,000 and 12 working days. KolossusAI generated it in 10 minutes, we dropped the file into Tally, and the report is now permanent in the menu."

The question: some reports Tally simply cannot produce - usually because they need a dimension Tally does not track (region, salesperson, scheme, project), need to join across multiple Tally companies, or need ad-hoc filtering that no TDL author anticipated. The team's usual answer is "export to Excel and figure it out" - which works once, then becomes a Friday ritual.

The KolossusAI workflow:

• Plain-English query. "Show me top 20 customers by outstanding above 60 days across all Tally companies, with realised margin after credit notes, grouped by region." Type the question in English or Hindi.
• KolossusAI joins across companies. Native multi-company consolidation - no per-company export. Joins customer ledgers across every Tally company on the same instance.
• Adds dimensions Tally does not track. Region, salesperson, scheme, project - picked up from your CRM, an Excel tracker, or a custom database via DB or API. Joined with Tally data at query time.
• Drill-down to source voucher. Every row in every answer traces back to the underlying Tally voucher with one tap. Audit-grade by default.

Real example: "Our CFO wanted SKU margin per customer per region after credit notes and schemes. Tally has the SKU sales, our CRM has the region, an Excel has the scheme calendar. No single tool could produce that report. KolossusAI joined the three live and answered in seconds."