AWS Textract vs DeepSeek-OCR
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: DeepSeek-OCR
In this head-to-head evaluation, DeepSeek-OCR emerges as the stronger option with an overall rating of 9.3/10 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 contextual optical compression utilizes 10x-20x fewer vision tokens with a 97% recovery rate, DeepSeek-OCR 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 | DeepSeek-OCR Best Throughput & Optical Compression DeepSeek |
|---|---|---|
| 💰 Pricing & Licensing | ||
| Base OCR (per 1,000 pages) | $1.50 | $0.00 (Open Source) |
| Table Extraction (per 1k pages) | $15.00 | $0.00 |
| Forms & Key-Values (per 1k) | $50.00 | $0.00 |
| Recurring Free Tier | 1,000 pages raw text OCR; 100 pages Forms/Tables/Queries per month | 100% Free Open Source Weights (Apache 2.0 / Open Weights) |
| 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 | 75.7 /100 |
| Table Structure (TEDS Score) | 93.8% | 93% |
| Handwriting Recognition | 88.4% (Good) | 86.5% (Good) |
| Single-Page Latency (p50) | 850 ms p95: 2100ms | 120 ms p95: 350ms |
| ⚙️ Features & Document AI | ||
| Supported Languages | 6+ English, Spanish, German, Italian... | 80+ English, Chinese, Spanish, French... |
| Deployment Modes | Cloud API (Synchronous & Asynchronous S3 Batch) | Self-Hosted vLLM, Docker Container, Air-Gapped 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, vLLM, Hugging Face Transformers, REST API via FastAPI |
| Setup Time | ~15 mins | ~25 mins |
| Max Payload / Pages | 10MB / 3000 pages | 500MB / 5000 pages |
| Direct Links | ||
💰 Pricing & Monthly Cost Scenarios
DeepSeek-OCR is an open-source solution with zero software licensing costs, whereas AWS Textract is a commercial service starting at $1.50/1k base pages. While AWS Textract incurs ongoing API charges, it removes all DevOps maintenance, GPU infrastructure scaling, and model hosting overhead required by DeepSeek-OCR.
| Volume Tier | AWS Textract | DeepSeek-OCR | Cheaper Option |
|---|---|---|---|
| 10,000 pages/mo (Starter) | $135 | $10 | DeepSeek-OCR (Save $125) |
| 50,000 pages/mo (Growth) | $735 | $10 | DeepSeek-OCR (Save $725) |
| 250,000 pages/mo (Enterprise) | $3,735 | $20 | DeepSeek-OCR (Save $3,715) |
| 1,000,000 pages/mo (Scale) | $14,985 | $80 | DeepSeek-OCR (Save $14,905) |
🎯 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 DeepSeek-OCR's 75.7. Both solutions offer comparable table parsing quality (93.8% vs 93% TEDS score).
Speed & Latency Profile
DeepSeek-OCR is the faster engine with an average single-page response time of 120ms (vs AWS Textract's 850ms). This makes DeepSeek-OCR particularly advantageous for user-facing applications requiring instantaneous feedback.
Table & Structure Recognition
AWS Textract (93.8% TEDS) vs DeepSeek-OCR (93% TEDS). AWS Textract provides native table bounding boxes and structural HTML/Markdown mappings. DeepSeek-OCR includes dedicated table parsing capabilities.
Composite Performance Breakdown
AWS Textract Score Breakdown
Standardized 1-10 benchmark scaleDeepSeek-OCR 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
When to Choose DeepSeek-OCR
Best suited for developers and companies that prioritize:
- ✓ Massive back-office document digitizing backlogs (millions of pages)
- ✓ High-throughput air-gapped defense and sovereign enterprise processing
- ✓ Low-cost LLM document indexing clusters
- ✓ You want lower base OCR pricing ($0/1k vs $0/1k)
- ✓ You need faster response times (~120ms vs ~120ms)
- ✓ You require complete offline data privacy and zero API vendor lock-in
💻 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 vllm import LLM, SamplingParams
llm = LLM(model="deepseek-ai/deepseek-ocr-3b", trust_remote_code=True)
prompt = "<image>\nConvert this document page into structured Markdown."
outputs = llm.generate([{"prompt": prompt, "multi_modal_data": {"image": "page.jpg"}}])
print(outputs[0].outputs[0].text)❓ AWS Textract vs DeepSeek-OCR FAQs
Which is cheaper: AWS Textract or DeepSeek-OCR? ▼
AWS Textract costs $1.50 per 1,000 base pages vs DeepSeek-OCR at $0.00 per 1,000 base pages. For table parsing, AWS Textract is $15.00/1k vs DeepSeek-OCR at $0.00/1k.
Which OCR API has higher accuracy: AWS Textract or DeepSeek-OCR? ▼
In standardized benchmark testing on clean printed text, AWS Textract achieved 98.1% accuracy compared to DeepSeek-OCR's 98.2%. On complex table structure extraction, AWS Textract recorded a 93.8% TEDS score vs DeepSeek-OCR's 93% TEDS score.
Which API is faster: AWS Textract or DeepSeek-OCR? ▼
AWS Textract has an average single-page response time of 850ms (p50 latency) vs DeepSeek-OCR's 120ms. Under high concurrency, AWS Textract reaches 2100ms p95 latency vs DeepSeek-OCR's 350ms.
When should I choose AWS Textract over DeepSeek-OCR? ▼
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 DeepSeek-OCR if you prioritize: Massive back-office document digitizing backlogs (millions of pages), High-throughput air-gapped defense and sovereign enterprise processing, Low-cost LLM document indexing clusters.