Tally-ready invoice export

Extraction gets you the data; the export gets it into your software. Dynamite Docs turns extracted GST invoice rows into clean, Tally-ready CSV, JSON, or Excel — the fields in the shapes accounting workflows expect, reviewed before they leave the workspace, ready to import into Tally or any accounting software depending on your version and setup.

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Clean output is half the accounting problem

Extracted data is only useful when it’s in a shape your software accepts; a mismatched header or a wrongly typed column turns an export into a cleanup job.
GST invoice rows carry a long field list, GSTIN, invoice number and date, HSN/SAC, taxable value, CGST, SGST, IGST, totals, and each software expects its own arrangement.
Manual exports from spreadsheets re-introduce exactly the retyping extraction removed: copying cells, checking alignment, fixing date formats.
The review step exists precisely so the export reflects the books, not the OCR.

How Dynamite Docs produces a Tally-ready export

01 — Drop the invoice batch in

Upload a folder of GST invoices; the fields are inferred per layout the moment the documents land in the workspace.

02 — Review by confidence

Check the low-confidence fields, a GSTIN, an HSN/SAC code, or a tax split that doesn’t tie, and each correction becomes a pattern the next batch reuses.

03 — Pick your export shape

Choose CSV, JSON, or Excel. The same clean rows go out in whichever format your workflow needs, including Google Sheets if you prefer.

04 — Export and import

Download the file and bring it into your accounting software. Depending on your Tally version and setup, the rows import as vouchers; Dynamite Docs does not integrate with Tally or any accounting software directly.

Document types this workflow handles

GST invoices — sales and purchase invoices
Credit / debit notes — adjustments, exported with a document type
Purchase bills — vendor bills for goods and services
Sales bills — outward invoices to customers

What appears in the exported rows

The export carries the reviewed fields as clean columns. A typical Tally-ready file yields these:

Document type — Tax invoice
GSTIN (party) — 27AABCS1429B1ZP
Invoice number — INV/24-25/0144
Invoice date — 2026-08-02
Place of supply — Maharashtra (27)
HSN / SAC code — 4820
Taxable value — ₹24,000.00
CGST amount — ₹2,160.00
SGST / IGST amount — ₹2,160.00 / ₹33,480.00
Invoice total (incl. tax) — ₹28,320.00

A realistic example

A reviewed batch exports to rows like these, one row per document, ready to bring into your accounting software:

Doc type	Invoice #	Date	Party GSTIN	HSN/SAC	Taxable value	CGST	SGST	IGST	Total
Tax invoice	INV/24-25/0144	2026-08-02	27AABCS1429B1ZP	4820	₹24,000	₹2,160	₹2,160	—	₹28,320
Tax invoice	INV/24-25/0145	2026-08-03	33AABCC3456C1ZD	8467	₹1,86,000	—	—	₹33,480	₹2,19,480
Credit note	CN/24-25/0031	2026-08-06	27AABCS1429B1ZP	4820	₹4,000	₹360	₹360	—	₹4,720

Export shapes that survive the import

The export is where the value of extraction is realized or lost. Clean, consistent columns, GSTIN, invoice number and date, HSN/SAC, taxable value, CGST/SGST/IGST, total, import cleanly, while ad-hoc exports become another round of manual fixing. Dynamite Docs exports the same confidence-scored rows as CSV, JSON, or Excel, so the format is a choice at the end of the workflow, not a constraint at the start.

Tally and other accounting software have their own import conventions, and they change between versions. Depending on your Tally version and setup, the exported CSV or JSON can be used to prepare voucher entries; the exact header names and field order your version expects are worth confirming before a large import. The export is deliberately kept as plain structured rows so it works across tools rather than being locked to one.

The review-then-export order matters. You correct a GSTIN or a tax split in the workspace, the correction becomes a remembered pattern, and the export reflects the corrected data, not the original reading. That loop is what keeps the import clean month after month.

The same file is useful beyond the import. The CSV and Excel rows are the working sheet for reconciliation, for checking the CGST/SGST/IGST split against the register, and for answering a client’s question about a specific invoice without reopening the PDF.

Why bring-your-own-AI matters for exports

An import survives on the export shape: header names, field order, and clean columns decide whether a file imports or becomes a cleanup job. That shape is under your control at the end of the workflow, and the reader behind the rows is your choice, paid at your provider’s rate with no markup.

Clean digital invoices parse deterministically for free, identical results every run, so the bulk of a batch reaches the export without an AI call. Scans and photos are read by the vision model you pick, with cost and quality yours to balance per batch.

Review-then-export is the loop that keeps imports clean: you correct a GSTIN or a split, the correction becomes a pattern, and the exported file reflects the reviewed data, not the first reading. CSV, JSON, and Excel are plain and portable, and the corrections stay yours.

Questions, answered

What formats can I export?

CSV, JSON, or Excel, or push rows to Google Sheets. All are generated from the same reviewed, confidence-scored rows.

Will the CSV import into my Tally version?

Import conventions vary by version and setup. The export is plain structured rows with standard fields; confirm the header names and field order against your version’s import options before a large import.

Can I export credit notes and debit notes too?

Yes. Adjustments are exported with a document type, so invoices, credit notes, and debit notes come out as identifiable rows in the same file or batch.

Do corrections carry into the export?

Yes. Corrections are saved per layout and applied to the extracted rows, so the export reflects the reviewed data, not the initial reading.