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Bahasa IndonesiaReceipt (Struk)Indonesia

Indonesian Receipt
OCR Extraction

Extract data from Indonesian struk with AI that understands Bahasa Indonesia terminology, IDR formatting, and common retail receipt layouts.

Sample Extraction Demo

See how TurboLens extracts structured data from Bahasa Indonesia receipt (struk) documents.

Input Document

Sample Indonesian retail receipt (struk)

Extracted JSON Output

{
  "merchant_name": "Indomaret Cabang Sudirman",  "receipt_date": "2025-03-10",  "receipt_number": "STR-2025-0310-5678",  "items": [
  {
  "name": "Indomie Goreng 5pcs",  "quantity": 2,  "price": 27000},  {
  "name": "Aqua 600ml",  "quantity": 3,  "price": 4500}],  "subtotal": 67500,  "total": 67500,  "payment_method": "QRIS",  "currency": "IDR"}
800ms
Processing Time
Optimized for common Indonesian retail receipt formats

Extracted Fields

Key data fields extracted from receipt (struk) documents.

Merchant Name

merchant_name

Store name and branch information

Sample

Indomaret Cabang Sudirman

Line Items

items

Products with quantity and IDR pricing

Sample

Indomie Goreng 5pcs x2 - 27,000 IDR

Total

total

Total receipt amount in IDR

Sample

67,500 IDR

Payment Method

payment_method

Payment type (QRIS, Tunai, Debit, etc.)

Sample

QRIS

Language & Region Details

Language
Bahasa Indonesia
Code: id
Region
Indonesia
Code: ID
Script Type
Latin
Direction
Left to Right

Special Handling

  • Indonesian number formatting (period as thousands separator)
  • IDR amounts without decimal precision
  • Common Indonesian retail abbreviations

Key Features

Purpose-built capabilities for Bahasa Indonesia receipt (struk) processing.

Indonesian Retail Recognition

Trained on receipt formats from major Indonesian retail chains including Indomaret, Alfamart, and modern trade outlets.

IDR Amount Parsing

Correctly handles Indonesian Rupiah formatting with period separators and whole-number amounts.

QRIS Payment Detection

Recognizes QRIS and other Indonesian digital payment methods alongside traditional cash and card payments.

ROI & Business Impact

High

Field Accuracy

Extraction accuracy for Indonesian receipt fields

<0.8s

Processing Speed

Per-receipt processing time

8,000/hr

Batch Throughput

Indonesian receipts processed per hour

Related Capabilities

Indonesian Invoice Extraction
Indonesian KTP ID Verification

Related Solutions

Banking & Financial Services
Insurance

Frequently Asked Questions

Yes. TurboLens recognizes QRIS (Quick Response Code Indonesian Standard) payment indicators along with other payment methods like GoPay, OVO, Dana, and traditional bank transfers.

Yes. Indonesian receipts use periods as thousands separators (e.g., Rp 67.500). TurboLens correctly parses these into numeric values.

Get Started Today

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