Drop in a stack of invoices. Get structured, GST-ready fields with a review screen in front of them — not a black box that posts straight to your ledger.
Invoice entry is the highest-volume, lowest-judgement task in most finance departments, and it is where fatigue errors concentrate. Finatica reads the document, proposes structured data, and puts a human in front of the result — so the review is a check rather than a re-entry.
Invoice number, date, supplier, GSTIN, taxable value, tax split and total — plus line-level description, quantity, rate and amount where the document supports it.
Every extraction lands in a side-by-side review panel with the source document, so a correction is one keystroke and nothing enters your books unapproved.
Queue a folder of invoices and work through the results as a list instead of opening documents one at a time.
Send approved data to Excel, or straight through the Tally converter as import-ready XML vouchers.
The visible cost of invoice entry is the hours. The expensive cost is what those hours crowd out and what they get wrong. A junior spending three days a month keying purchase invoices is three days not spent on reconciliation or review, and a mistyped GSTIN or tax split becomes an input credit mismatch that surfaces weeks later during GSTR-2B reconciliation — when tracing it back to the source document is far more expensive than getting it right at capture.
A digitally generated PDF already contains a text layer, so extraction reads structure directly. A scan or photograph goes through OCR first to recover the text, then through the same field-identification pass. Finatica identifies the document regions that carry each field, proposes values, and flags anything it is unsure about rather than guessing silently.
Fully automatic posting sounds efficient until the first wrong entry reaches the ledger and nobody notices for a quarter. Finatica is built the other way round: the machine does the reading, the person does the approving. In practice a reviewer clears a queue several times faster than a typist clears the same stack, and the entries that reach the books have been looked at by someone who could catch a supplier billing the wrong entity.
From a folder of PDFs to reviewed, exportable data.
Smart invoicing is the automation of invoice data capture. Instead of a person reading a PDF and typing the fields into an accounting system, software extracts the structured fields — invoice number, date, supplier, GSTIN, taxable value, tax breakup, total and line items — and presents them for review. The human role shifts from data entry to exception handling.
Digital invoice PDFs, scanned PDFs, and image formats such as JPG and PNG. Digitally generated PDFs extract most reliably because the text layer is already present; scans depend on image quality and go through OCR.
Accuracy depends heavily on document quality and layout consistency. Clean digital PDFs from a supplier you receive regularly extract very reliably; low-resolution scans, handwriting and unusual layouts are harder. This is exactly why Finatica routes every extraction through a review panel rather than posting straight to your books — you approve what goes in.
Yes. Supplier GSTIN, invoice number and date, place of supply where present, taxable value, and the CGST/SGST/IGST split are captured as separate fields so the data is usable for input credit reconciliation rather than as a single total.
Yes — to Excel for further working, and via the Excel to Tally converter into Tally-ready XML vouchers if you post in Tally.