AWS Textract vs LlamaParse
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: LlamaParse
In this head-to-head evaluation, LlamaParse emerges as the stronger option with an overall rating of 9.4/10 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 cost optimizer dynamically routes individual pages to the cheapest viable tier (saving up to 80%), LlamaParse 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 | LlamaParse Best for LLM & Dynamic Cost Optimizer LlamaIndex |
|---|---|---|
| 💰 Pricing & Licensing | ||
| Base OCR (per 1,000 pages) | $1.50 | $1.25 |
| Table Extraction (per 1k pages) | $15.00 | $3.75 |
| Forms & Key-Values (per 1k) | $50.00 | $12.50 |
| Recurring Free Tier | 1,000 pages raw text OCR; 100 pages Forms/Tables/Queries per month | 10,000 free parsing credits per month recurring |
| 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 | 83.5 /100 |
| Table Structure (TEDS Score) | 93.8% | 95.2% |
| Handwriting Recognition | 88.4% (Good) | 91% (Good) |
| Single-Page Latency (p50) | 850 ms p95: 2100ms | 950 ms p95: 2600ms |
| ⚙️ Features & Document AI | ||
| Supported Languages | 6+ English, Spanish, German, Italian... | 130+ English, Spanish, French, German... |
| Deployment Modes | Cloud API (Synchronous & Asynchronous S3 Batch) | Cloud API, Enterprise Private VPC |
| Bounding Polygon Precision | Word-level | Block-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, TypeScript, REST API, LlamaIndex Native |
| Setup Time | ~15 mins | ~5 mins |
| Max Payload / Pages | 10MB / 3000 pages | 50MB / 500 pages |
| Direct Links | ||
💰 Pricing & Monthly Cost Scenarios
For standard document OCR, LlamaParse is more affordable at $1.25 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 LlamaParse's $3.75/1k.
| Volume Tier | AWS Textract | LlamaParse | Cheaper Option |
|---|---|---|---|
| 10,000 pages/mo (Starter) | $135 | $11.25 | LlamaParse (Save $123.75) |
| 50,000 pages/mo (Growth) | $735 | $61.25 | LlamaParse (Save $673.75) |
| 250,000 pages/mo (Enterprise) | $3,735 | $311.25 | LlamaParse (Save $3,423.75) |
| 1,000,000 pages/mo (Scale) | $14,985 | $1,248.75 | LlamaParse (Save $13,736.25) |
🎯 Accuracy & Latency Breakdown
On the OlmOCR-Bench deterministic benchmark, LlamaParse outperforms AWS Textract (83.5 vs 76.5), exhibiting fewer hallucinations on multi-column reading order and mathematical typography. Both solutions offer comparable table parsing quality (93.8% vs 95.2% TEDS score).
Speed & Latency Profile
AWS Textract delivers faster synchronous inference, averaging 850ms per single-page document (~100ms faster than LlamaParse's 950ms). Under heavy concurrency, AWS Textract's 95th percentile latency caps at 2100ms compared to LlamaParse's 2600ms.
Table & Structure Recognition
AWS Textract (93.8% TEDS) vs LlamaParse (95.2% TEDS). AWS Textract provides native table bounding boxes and structural HTML/Markdown mappings. LlamaParse includes dedicated table parsing capabilities.
Composite Performance Breakdown
AWS Textract Score Breakdown
Standardized 1-10 benchmark scaleLlamaParse 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 need faster response times (~850ms vs ~950ms)
When to Choose LlamaParse
Best suited for developers and companies that prioritize:
- ✓ Advanced RAG pipelines with mixed-complexity document archives
- ✓ Dense financial reports with embedded bar charts and balance sheets
- ✓ LlamaIndex AI application builders
- ✓ You want lower base OCR pricing ($1.25/1k vs $1.25/1k)
💻 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 llama_parse import LlamaParse
parser = LlamaParse(
api_key="your_api_key",
result_type="markdown",
auto_mode=True # Enables Cost Optimizer
)
extra_info = parser.load_data("financial_report.pdf")
print(extra_info[0].text)❓ AWS Textract vs LlamaParse FAQs
Which is cheaper: AWS Textract or LlamaParse? ▼
AWS Textract costs $1.50 per 1,000 base pages vs LlamaParse at $1.25 per 1,000 base pages. For table parsing, AWS Textract is $15.00/1k vs LlamaParse at $3.75/1k.
Which OCR API has higher accuracy: AWS Textract or LlamaParse? ▼
In standardized benchmark testing on clean printed text, AWS Textract achieved 98.1% accuracy compared to LlamaParse's 98.7%. On complex table structure extraction, AWS Textract recorded a 93.8% TEDS score vs LlamaParse's 95.2% TEDS score.
Which API is faster: AWS Textract or LlamaParse? ▼
AWS Textract has an average single-page response time of 850ms (p50 latency) vs LlamaParse's 950ms. Under high concurrency, AWS Textract reaches 2100ms p95 latency vs LlamaParse's 2600ms.
When should I choose AWS Textract over LlamaParse? ▼
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 LlamaParse if you prioritize: Advanced RAG pipelines with mixed-complexity document archives, Dense financial reports with embedded bar charts and balance sheets, LlamaIndex AI application builders.