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Frontier multimodal · OCR · updated March 2026

Claude vs GPT-4o for OCR.

GPT-5.4 holds the best OCR edit distance on OmniDocBench at 0.02. Claude has the lowest hallucination rate on CC-OCR at 0.09%. The question is which matters more: raw accuracy or reliability.

§ 01 · Side-by-side

The numbers, row by row.

MetricClaude Sonnet 4.6GPT-5.4
Average time per page2.8s2.3s
OCR edit distance0.030.02
Hallucination rate0.09%0.15%
Thai OCR accuracy94.2%91.8%
Cost per 1000 images$6.00$7.50
Character errors (100 pages)128
Structured output supportNative JSONStructured outputs
Sample invoice used for OCR testing

Test document set. Mixed quality, various fonts, some handwriting.

Claude Sonnet 4.6 output

Edit distance 0.03 with 0.09% hallucination — slightly less accurate but less likely to invent text.

QUARTERLY FINANCIAL REPORT
Invoice #: QFR-2025-001
Date: December 18, 2025
Bill To:
Acme Corporation
123 Business Street
San Francisco, CA 94102
Description                Qty    Price      Total
Consulting Services         40   $150.00   $6,000.00
Project Management          20   $175.00   $3,500.00
Technical Documentation     15   $125.00   $1,875.00
Subtotal:                              $11,375.00
Tax (8.5%):                               $966.88
Total:                                 $12,341.88

GPT-5.4 output

Edit distance 0.02 — clean, accurate, table alignment preserved. 0.15% hallucination rate.

QUARTERLY FINANCIAL REPORT
Invoice #: QFR-2025-001
Date: December 18, 2025
Bill To:
Acme Corporation
123 Business Street
San Francisco, CA 94102
Description                Qty    Price      Total
Consulting Services         40   $150.00   $6,000.00
Project Management          20   $175.00   $3,500.00
Technical Documentation     15   $125.00   $1,875.00
Subtotal:                              $11,375.00
Tax (8.5%):                               $966.88
Total:                                 $12,341.88

Get the full OCR comparison spreadsheet

30+ models × 8 benchmarks, accuracy + price per page. We email it and keep it current.

§ 02 · Pick by task

When to pick which.

Claude wins when
  • Hallucination is a concern
  • Financial or legal documents
  • Thai or non-Latin scripts
  • Cost optimization matters
  • You need reliable structured JSON output
GPT-5.4 wins when
  • Raw accuracy is paramount
  • General document digitization
  • Speed is critical
  • You have verification processes in place

Edit distance measures character-level accuracy. Hallucination measures invented content. A model with 0.02 edit distance that hallucinates a line of text is worse than a model with 0.03 edit distance that only makes transcription errors. For invoices, receipts, and financial documents, Claude’s lower hallucination rate is the safer choice.

§ 03 · Method

The code.

Claude Sonnet 4.6

import anthropic
client = anthropic.Anthropic(api_key="your-key")
with open("document.png", "rb") as f:
    image_data = base64.b64encode(f.read()).decode()
message = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "image",
                "source": {
                    "type": "base64",
                    "media_type": "image/png",
                    "data": image_data
                }
            },
            {
                "type": "text",
                "text": "Extract all text from this image."
            }
        ]
    }]
)
print(message.content[0].text)

GPT-5.4

import openai
client = openai.OpenAI(api_key="your-key")
with open("document.png", "rb") as f:
    image_data = base64.b64encode(f.read()).decode()
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "image_url",
                "image_url": {
                    "url": f"data:image/png;base64,{image_data}"
                }
            },
            {
                "type": "text",
                "text": "Extract all text from this image."
            }
        ]
    }],
    max_tokens=4096
)
print(response.choices[0].message.content)
§ 04 · Related

Adjacent comparisons.

PaddleOCR vs Tesseract comparisonBest OCR for invoicesGetting started with OCR in PythonGPT-4o vs PaddleOCRDocling vs MinerUAll OCR vendors compared

Get the full OCR comparison spreadsheet

30+ models × 8 benchmarks, accuracy + price per page. We email it and keep it current.