Prompt
I'm building a receipt capture feature, should I use OCR or a document parser?
Latest observation
Oct 20, 2026
OpenAI APIWeb search: off
For a receipt capture feature, the best choice is usually both, but if you have to pick one:
- Use OCR if you need to read text from photos of receipts in many formats.
- Use a document parser if the input is a consistent, structured receipt/PDF format and you mainly want fields extracted reliably.
Quick rule of thumb
Choose OCR when:
- Users upload photos or scans of paper receipts
- Receipts vary a lot by merchant, layout, or quality
- You need to extract raw text first, then parse totals, dates, line items yourself
Choose a document parser when:
- You receive digital receipts or standardized PDFs
- The document structure is predictable
- You want structured outputs like:
- merchant name
- date
- total
- taxes
- line items
What’s usually best for receipt capture
Receipts are messy:
- crumpled paper
- skewed photos
- poor lighting
- multiple layouts
- abbreviations and inconsistent formatting
So in practice, a common pipeline is:
-
Image preprocessing
Crop, deskew, deblur, normalize contrast -
OCR Extract text from the image
-
Post-processing / parsing Identify fields like total, tax, date, merchant, currency
-
Validation Check totals, date formats, confidence scores
If you want high accuracy
A receipt-specific parser or receipt extraction API is often better than generic OCR alone, because it can:
- detect key-value pairs
- handle line items
- normalize currencies and dates
- classify fields even when text order varies
Practical recommendation
- Start with OCR + custom parsing if you’re building this yourself and need flexibility.
- Use a receipt/document parsing service if you want faster time to market and better field extraction.
- Use both if you need the best robustness:
- OCR for text extraction
- parser/LLM/rules for structure
Simple decision table
| Input type | Best choice |
|---|---|
| Photo of paper receipt | OCR |
| Scanned receipt image | OCR |
| Digital PDF receipt | Document parser |
| Invoices/structured forms | Document parser |
| Mixed receipts from users | OCR + parser |
If you want, I can also recommend a specific architecture or compare tools like Google Document AI, AWS Textract, Azure Form Recognizer, or open-source OCR options.