⚡ Head-to-Head Technical Benchmark

AWS Textract vs Azure AI Document Intelligence

Comprehensive 2026 technical breakdown comparing pricing per 1,000 pages, benchmark accuracy on printed text and tables, single-page latency, and developer ergonomics.

AWS Textract Base $1.50/1k
Azure AI Document Intelligence Base $1.50/1k
Accuracy (Printed) 98.1% vs 98.6%
Latency (p50) 850ms vs 720ms
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The Verdict: Azure AI Document Intelligence

In this head-to-head evaluation, Azure AI Document Intelligence emerges as the stronger option with an overall rating of 9.2/10 versus AWS Textract's 8.9/10. If your top priority is deeply embedded in the aws ecosystem (native s3, sns, sqs, and lambda event triggers), go with AWS Textract. If you value layout model delivers text, tables, and structure in a single $10/1k pass (33% cheaper than aws textract tables), Azure AI Document Intelligence is the superior choice.

Feature & Benchmark Comparison Matrix

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Feature & Metric
AWS Textract Best for AWS Ecosystem & Tax Forms
Amazon Web Services
Azure AI Document Intelligence Best for Prebuilt Templates & Hybrid
Microsoft Azure
💰 Pricing & Licensing
Base OCR (per 1,000 pages) $1.50 $1.50
Table Extraction (per 1k pages) $15.00 $10.00
Forms & Key-Values (per 1k) $50.00 $10.00
Recurring Free Tier 1,000 pages raw text OCR; 100 pages Forms/Tables/Queries per month 500 pages per month (F0 tier, capped at 4MB and first 2 pages per doc)
Min Monthly Commitment $0 / Pay-as-you-go $0 / Pay-as-you-go
🎯 OlmOCR-Bench & Accuracy Standards
OlmOCR-Bench Score (Unit Tests)
76.5 /100
78.2 /100
Table Structure (TEDS Score)
93.8%
94.5%
Handwriting Recognition 88.4% (Good) 92% (Excellent)
Single-Page Latency (p50) 850 ms p95: 2100ms 720 ms p95: 1650ms
⚙️ Features & Document AI
Supported Languages 6+ English, Spanish, German, Italian... 164+ English, Spanish, German, French...
Deployment Modes Cloud API (Synchronous & Asynchronous S3 Batch) Cloud API, On-Premises Docker Container
Bounding Polygon Precision Word-level Word-level
Searchable PDF / Markdown ✅ Searchable PDF ✅ Searchable PDF
Compliance SOC2 • HIPAA • GDPR SOC2 • HIPAA • GDPR
💻 Developer Ergonomics
Official SDKs Python (Boto3), Node.js (AWS SDK), Go, Java, C#, REST API Python, Node.js (TypeScript), C#/.NET, Java, REST API
Setup Time ~15 mins ~10 mins
Max Payload / Pages 10MB / 3000 pages 50MB / 2000 pages
Direct Links

💰 Pricing & Monthly Cost Scenarios

For standard document OCR, Azure AI Document Intelligence is more affordable at $1.50 per 1,000 pages compared to AWS Textract's $1.50 per 1,000 pages. When extracting structured tables and forms, AWS Textract charges $15.00/1k vs Azure AI Document Intelligence's $10.00/1k.

Monthly Cost Estimates (with Table Extraction)
Volume Tier AWS Textract Azure AI Document Intelligence Cheaper Option
10,000 pages/mo (Starter) $135 $95 Azure AI Document Intelligence (Save $40)
50,000 pages/mo (Growth) $735 $495 Azure AI Document Intelligence (Save $240)
250,000 pages/mo (Enterprise) $3,735 $2,495 Azure AI Document Intelligence (Save $1,240)
1,000,000 pages/mo (Scale) $14,985 $9,995 Azure AI Document Intelligence (Save $4,990)

🎯 Accuracy & Latency Breakdown

On the OlmOCR-Bench deterministic benchmark, Azure AI Document Intelligence outperforms AWS Textract (78.2 vs 76.5), exhibiting fewer hallucinations on multi-column reading order and mathematical typography. Both solutions offer comparable table parsing quality (93.8% vs 94.5% TEDS score).

Speed & Latency Profile

Azure AI Document Intelligence is the faster engine with an average single-page response time of 720ms (vs AWS Textract's 850ms). This makes Azure AI Document Intelligence particularly advantageous for user-facing applications requiring instantaneous feedback.

Table & Structure Recognition

AWS Textract (93.8% TEDS) vs Azure AI Document Intelligence (94.5% TEDS). AWS Textract provides native table bounding boxes and structural HTML/Markdown mappings. Azure AI Document Intelligence includes dedicated table parsing capabilities.

Composite Performance Breakdown

AWS Textract Score Breakdown

Standardized 1-10 benchmark scale
8.9 /10
Printed & Handwritten Accuracy 9.4/10
Table & Structure Recognition 9.7/10
Latency & Inference Throughput 8.7/10
Pricing & Unit Economics 7.8/10
Developer DX & SDK Ergonomics 8.8/10
Composite Score 8.9 / 10.0

Azure AI Document Intelligence Score Breakdown

Standardized 1-10 benchmark scale
9.2 /10
Printed & Handwritten Accuracy 9.6/10
Table & Structure Recognition 9.6/10
Latency & Inference Throughput 9.1/10
Pricing & Unit Economics 8.6/10
Developer DX & SDK Ergonomics 9.3/10
Composite Score 9.2 / 10.0
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When to Choose AWS Textract

Best suited for developers and companies that prioritize:

  • Enterprises deeply entrenched in AWS infrastructure
  • Mortgage and loan origination document parsing
  • US tax form (W-2, 1099, 1040) processing
  • Automated S3 document ingestion pipelines
👉

When to Choose Azure AI Document Intelligence

Best suited for developers and companies that prioritize:

  • Organizations fully integrated into Microsoft Azure & Power Platform
  • Standard US tax (W-2) and healthcare insurance card processing
  • Hybrid on-premise container document workflows
  • Enterprise RAG chunking with coordinate preservation
  • You need faster response times (~720ms vs ~720ms)

💻 Quickstart Code Snippets

See how each library processes a document in Python:

AWS Textract (Python)
import boto3

textract = boto3.client('textract', region_name='us-east-1')
with open('invoice.pdf', 'rb') as doc:
    response = textract.analyze_expense(
        Document={'Bytes': doc.read()}
    )
for doc in response['ExpenseDocuments']:
    for field in doc['SummaryFields']:
        print(f"{field['Type']['Text']}: {field['ValueDetection']['Text']}")
Azure AI Document Intelligence (Python)
from azure.ai.documentintelligence import DocumentIntelligenceClient
from azure.core.credentials import AzureKeyCredential

client = DocumentIntelligenceClient(
    endpoint="https://<your-instance>.cognitiveservices.azure.com/",
    credential=AzureKeyCredential("<api-key>")
)
with open("invoice.pdf", "rb") as f:
    poller = client.begin_analyze_document("prebuilt-invoice", analyze_request=f)
    result = poller.result()
print(result.documents[0].fields.get('InvoiceTotal').value_string)

AWS Textract vs Azure AI Document Intelligence FAQs

Which is cheaper: AWS Textract or Azure AI Document Intelligence?

AWS Textract costs $1.50 per 1,000 base pages vs Azure AI Document Intelligence at $1.50 per 1,000 base pages. For table parsing, AWS Textract is $15.00/1k vs Azure AI Document Intelligence at $10.00/1k.

Which OCR API has higher accuracy: AWS Textract or Azure AI Document Intelligence?

In standardized benchmark testing on clean printed text, AWS Textract achieved 98.1% accuracy compared to Azure AI Document Intelligence's 98.6%. On complex table structure extraction, AWS Textract recorded a 93.8% TEDS score vs Azure AI Document Intelligence's 94.5% TEDS score.

Which API is faster: AWS Textract or Azure AI Document Intelligence?

AWS Textract has an average single-page response time of 850ms (p50 latency) vs Azure AI Document Intelligence's 720ms. Under high concurrency, AWS Textract reaches 2100ms p95 latency vs Azure AI Document Intelligence's 1650ms.

When should I choose AWS Textract over Azure AI Document Intelligence?

Choose AWS Textract if you prioritize: Enterprises deeply entrenched in AWS infrastructure, Mortgage and loan origination document parsing, US tax form (W-2, 1099, 1040) processing. Choose Azure AI Document Intelligence if you prioritize: Organizations fully integrated into Microsoft Azure & Power Platform, Standard US tax (W-2) and healthcare insurance card processing, Hybrid on-premise container document workflows.

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