# Free GST Invoice OCR - Extract GST from Scanned Indian Invoices

Source: https://www.digiparser.com/free-tools/data-extraction/gst-invoice-ocr

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# GST Invoice OCR

Extract GST information from scanned Indian invoices using OCR. Process paper invoices and image files to get GST data for compliance and filing.

Drop PDF here or click to upload

📄 Up to 3 pages-Max 1MB

### What will be extracted

### Fields to Extract

13 fields

Customize

buyer namebuyer gstinseller nameinvoice dateseller gstinbuyer addressinvoice numberseller addresstotals cgst totaltotals igst totaltotals sgst totaltotals grand totaltotals taxable value

### Tables

1 tables

Customize

line items

ratetotalhsn sacquantitycgst amountdescriptionigst amountsgst amounttaxable value

Extract Data

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![DigiParser Product Demo - See how DigiParser extracts structured data from documents](/images/home/app-demo.jpg)

## Extractable Data Fields

This tool extracts the following structured data fields from your documents:

### Fields

buyer namestring

Name of the buyer

buyer gstinstring

GSTIN of the buyer (15 characters)

seller namestring

Name of the seller

invoice datestring

Date of the invoice in ISO 8601 format (yyyy-mm-dd)

seller gstinstring

GSTIN of the seller (15 characters)

buyer addressstring

Address of the buyer

invoice numberstring

Invoice number as extracted from the GST invoice

seller addressstring

Address of the seller

totals cgst totalnumber

Total CGST for the invoice

totals igst totalnumber

Total IGST for the invoice

totals sgst totalnumber

Total SGST for the invoice

totals grand totalnumber

Total invoice value (including all taxes)

totals taxable valuenumber

Total taxable value of the invoice

### Tables

#### line items

Array of line items included in the invoice

ratenumber

Rate per unit

totalnumber

Total amount for this line item (including tax)

hsn sacstring

HSN/SAC code of the item

quantitynumber

Quantity of the item

cgst amountnumber

Amount of CGST for the item

descriptionstring

Item/Service description

igst amountnumber

Amount of IGST for the item

sgst amountnumber

Amount of SGST for the item

taxable valuenumber

Taxable value for the item

## Features

✓

OCR reads GSTIN from scanned invoices

✓

Extracts GST amounts from image-based invoices

✓

Works with scanned PDFs and photo files

✓

Recognizes HSN/SAC codes in images

✓

Handles invoices in Hindi and English

## Benefits

✓

Digitize paper GST invoices automatically

✓

Process scanned invoices without manual entry

✓

Extract GST data from mobile phone photos

✓

Handle invoices received as image attachments

✓

Make scanned invoices usable for GST filing

## Use Cases

### Paper Invoice Digitization

Convert paper GST invoices into digital records. Scan invoices and extract all GST information automatically to build your digital invoice database.

### Mobile Invoice Capture

When suppliers send invoice photos via WhatsApp or email, extract GST details directly. Process invoices on-the-go without retyping information.

### Historical GST Record Building

Process old scanned GST invoices from your files. Extract GST data to build complete historical records for compliance and audit purposes.

## Frequently Asked Questions

### What image formats are supported?

The tool supports common image formats including JPG, PNG, and PDF files containing scanned images. It works with photos taken with mobile phones as well.

### Can it read GSTIN from low-quality scans?

OCR accuracy depends on scan quality. Clear, high-resolution images work best, but the tool can handle various image qualities with reasonable accuracy.

### Does it work with invoices in Hindi?

Yes, the OCR can read text in both Hindi and English. GSTIN numbers and amounts are extracted accurately regardless of the invoice language.

Need More Power?

## Upgrade to DigiParser Pro

Process unlimited documents with API access, custom integrations, and enterprise-grade features.

[

### Invoice Parser

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Unlimited invoices

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### OCR Software for Business

Go beyond OCR -- extract structured data from scanned documents with 99.7% accuracy.

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