AWS Textract vs Google Cloud Document AI
Comprehensive 2026 technical breakdown comparing pricing per 1,000 pages, benchmark accuracy on printed text and tables, single-page latency, and developer ergonomics.
The Verdict: AWS Textract
In this head-to-head evaluation, AWS Textract takes the lead with an overall score of 8.9/10 compared to Google Cloud Document AI's 8.7/10. 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 seamless pipeline integration directly into google cloud bigquery data warehouses, Google Cloud Document AI is the superior choice.
Feature & Benchmark Comparison Matrix
Scroll horizontally on mobile →| Feature & Metric | AWS Textract Best for AWS Ecosystem & Tax Forms Amazon Web Services | Google Cloud Document AI Best for BigQuery Analytics & Multilingual Google Cloud |
|---|---|---|
| 💰 Pricing & Licensing | ||
| Base OCR (per 1,000 pages) | $1.50 | $6.00 |
| Table Extraction (per 1k pages) | $15.00 | $10.00 |
| Forms & Key-Values (per 1k) | $50.00 | $30.00 |
| Recurring Free Tier | 1,000 pages raw text OCR; 100 pages Forms/Tables/Queries per month | Google Cloud $300 trial credits on registration |
| 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 | 77 /100 |
| Table Structure (TEDS Score) | 93.8% | 88.2% |
| Handwriting Recognition | 88.4% (Good) | 91.5% (Excellent) |
| Single-Page Latency (p50) | 850 ms p95: 2100ms | 680 ms p95: 1450ms |
| ⚙️ Features & Document AI | ||
| Supported Languages | 6+ English, Spanish, German, Italian... | 200+ English, Spanish, French, German... |
| Deployment Modes | Cloud API (Synchronous & Asynchronous S3 Batch) | Cloud API, Google Cloud Anthos Hybrid |
| Bounding Polygon Precision | Word-level | Character-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, Go, Java, C#, Ruby, REST API |
| Setup Time | ~15 mins | ~15 mins |
| Max Payload / Pages | 10MB / 3000 pages | 20MB / 2000 pages |
| Direct Links | ||
💰 Pricing & Monthly Cost Scenarios
For standard document OCR, AWS Textract is more affordable at $1.50 per 1,000 pages compared to Google Cloud Document AI's $6.00 per 1,000 pages. When extracting structured tables and forms, AWS Textract charges $15.00/1k vs Google Cloud Document AI's $10.00/1k.
| Volume Tier | AWS Textract | Google Cloud Document AI | Cheaper Option |
|---|---|---|---|
| 10,000 pages/mo (Starter) | $135 | $100 | Google Cloud Document AI (Save $35) |
| 50,000 pages/mo (Growth) | $735 | $500 | Google Cloud Document AI (Save $235) |
| 250,000 pages/mo (Enterprise) | $3,735 | $2,500 | Google Cloud Document AI (Save $1,235) |
| 1,000,000 pages/mo (Scale) | $14,985 | $10,000 | Google Cloud Document AI (Save $4,985) |
🎯 Accuracy & Latency Breakdown
On the deterministic OlmOCR-Bench test suite (8,413 pass/fail unit tests over 1,403 complex PDF pages), both models perform at an elite level: AWS Textract scored 76.5 vs Google Cloud Document AI's 77. On complex financial tables and multi-column spreadsheets, AWS Textract maintains a significant lead with a TEDS score of 93.8% compared to Google Cloud Document AI's 88.2%.
Speed & Latency Profile
Google Cloud Document AI is the faster engine with an average single-page response time of 680ms (vs AWS Textract's 850ms). This makes Google Cloud Document AI particularly advantageous for user-facing applications requiring instantaneous feedback.
Table & Structure Recognition
AWS Textract (93.8% TEDS) vs Google Cloud Document AI (88.2% TEDS). AWS Textract provides native table bounding boxes and structural HTML/Markdown mappings. Google Cloud Document AI includes dedicated table parsing capabilities.
Composite Performance Breakdown
AWS Textract Score Breakdown
Standardized 1-10 benchmark scaleGoogle Cloud Document AI Score Breakdown
Standardized 1-10 benchmark scaleWhen 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
- ✓ You want lower base OCR pricing ($1.5/1k vs $6/1k)
When to Choose Google Cloud Document AI
Best suited for developers and companies that prioritize:
- ✓ Data engineering teams routing document streams directly into BigQuery
- ✓ High-volume multilingual document digitizing across Asian and Middle Eastern scripts
- ✓ Mobile scan applications requiring superior handwriting and cursive extraction
- ✓ You need faster response times (~680ms vs ~680ms)
💻 Quickstart Code Snippets
See how each library processes a document in 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']}")from google.cloud import documentai_v1 as documentai
client = documentai.DocumentProcessorServiceClient()
name = client.processor_path('project_id', 'us', 'processor_id')
with open('invoice.pdf', 'rb') as f:
raw_document = documentai.RawDocument(content=f.read(), mime_type='application/pdf')
request = documentai.ProcessRequest(name=name, raw_document=raw_document)
result = client.process_document(request=request)
print(result.document.text)❓ AWS Textract vs Google Cloud Document AI FAQs
Which is cheaper: AWS Textract or Google Cloud Document AI? ▼
AWS Textract costs $1.50 per 1,000 base pages vs Google Cloud Document AI at $6.00 per 1,000 base pages. For table parsing, AWS Textract is $15.00/1k vs Google Cloud Document AI at $10.00/1k.
Which OCR API has higher accuracy: AWS Textract or Google Cloud Document AI? ▼
In standardized benchmark testing on clean printed text, AWS Textract achieved 98.1% accuracy compared to Google Cloud Document AI's 98.4%. On complex table structure extraction, AWS Textract recorded a 93.8% TEDS score vs Google Cloud Document AI's 88.2% TEDS score.
Which API is faster: AWS Textract or Google Cloud Document AI? ▼
AWS Textract has an average single-page response time of 850ms (p50 latency) vs Google Cloud Document AI's 680ms. Under high concurrency, AWS Textract reaches 2100ms p95 latency vs Google Cloud Document AI's 1450ms.
When should I choose AWS Textract over Google Cloud Document AI? ▼
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 Google Cloud Document AI if you prioritize: Data engineering teams routing document streams directly into BigQuery, High-volume multilingual document digitizing across Asian and Middle Eastern scripts, Mobile scan applications requiring superior handwriting and cursive extraction.