AWS Textract vs Nanonets OCR 2 (3B)
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: Close Tie (Depends on Workload)
In this head-to-head evaluation, AWS Textract and Nanonets OCR 2 (3B) are closely matched with overall scores of 8.9/10 and 8.9/10 respectively. 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 uniquely capable of transforming embedded visual diagrams into structured mermaid flowchart code, Nanonets OCR 2 (3B) 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 | Nanonets OCR 2 (3B) Best for Mermaid Flowcharts & Diagrams Nanonets (Open Source) |
|---|---|---|
| 💰 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 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 | 69.5 /100 |
| Table Structure (TEDS Score) | 93.8% | 91% |
| Handwriting Recognition | 88.4% (Good) | 85% (Good) |
| Single-Page Latency (p50) | 850 ms p95: 2100ms | 380 ms p95: 850ms |
| ⚙️ Features & Document AI | ||
| Supported Languages | 6+ English, Spanish, German, Italian... | 30+ English, Spanish, French, German... |
| Deployment Modes | Cloud API (Synchronous & Asynchronous S3 Batch) | Self-Hosted vLLM, Docker Container, Cloud GPU |
| 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, Hugging Face, vLLM, REST API |
| Setup Time | ~15 mins | ~20 mins |
| Max Payload / Pages | 10MB / 3000 pages | 500MB / 2000 pages |
| Direct Links | ||
💰 Pricing & Monthly Cost Scenarios
Nanonets OCR 2 (3B) 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 Nanonets OCR 2 (3B).
| Volume Tier | AWS Textract | Nanonets OCR 2 (3B) | Cheaper Option |
|---|---|---|---|
| 10,000 pages/mo (Starter) | $135 | $10 | Nanonets OCR 2 (3B) (Save $125) |
| 50,000 pages/mo (Growth) | $735 | $10 | Nanonets OCR 2 (3B) (Save $725) |
| 250,000 pages/mo (Enterprise) | $3,735 | $20 | Nanonets OCR 2 (3B) (Save $3,715) |
| 1,000,000 pages/mo (Scale) | $14,985 | $80 | Nanonets OCR 2 (3B) (Save $14,905) |
🎯 Accuracy & Latency Breakdown
On the rigorous OlmOCR-Bench unit-test evaluation, AWS Textract leads with a score of 76.5 compared to Nanonets OCR 2 (3B)'s 69.5, demonstrating superior spatial neighbor relationship preservation and LaTeX equation rendering. On complex financial tables and multi-column spreadsheets, AWS Textract maintains a significant lead with a TEDS score of 93.8% compared to Nanonets OCR 2 (3B)'s 91%.
Speed & Latency Profile
Nanonets OCR 2 (3B) is the faster engine with an average single-page response time of 380ms (vs AWS Textract's 850ms). This makes Nanonets OCR 2 (3B) particularly advantageous for user-facing applications requiring instantaneous feedback.
Table & Structure Recognition
AWS Textract (93.8% TEDS) vs Nanonets OCR 2 (3B) (91% TEDS). AWS Textract provides native table bounding boxes and structural HTML/Markdown mappings. Nanonets OCR 2 (3B) includes dedicated table parsing capabilities.
Composite Performance Breakdown
AWS Textract Score Breakdown
Standardized 1-10 benchmark scaleNanonets OCR 2 (3B) 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 Nanonets OCR 2 (3B)
Best suited for developers and companies that prioritize:
- ✓ Engineering architecture documents with embedded flowchart diagrams
- ✓ Legal contracts requiring watermark and signature verification
- ✓ Scientific documents with structured schema diagrams
- ✓ You want lower base OCR pricing ($0/1k vs $0/1k)
- ✓ You need faster response times (~380ms vs ~380ms)
- ✓ 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 transformers import AutoModelForVision2Seq, AutoProcessor
processor = AutoProcessor.from_pretrained("nanonets/nanonets-ocr2-3b")
model = AutoModelForVision2Seq.from_pretrained("nanonets/nanonets-ocr2-3b")
# Extract diagrams into Mermaid code
inputs = processor(images="diagram.png", text="Extract flowchart to mermaid:", return_tensors="pt")
outputs = model.generate(**inputs)
print(processor.decode(outputs[0]))❓ AWS Textract vs Nanonets OCR 2 (3B) FAQs
Which is cheaper: AWS Textract or Nanonets OCR 2 (3B)? ▼
AWS Textract costs $1.50 per 1,000 base pages vs Nanonets OCR 2 (3B) at $0.00 per 1,000 base pages. For table parsing, AWS Textract is $15.00/1k vs Nanonets OCR 2 (3B) at $0.00/1k.
Which OCR API has higher accuracy: AWS Textract or Nanonets OCR 2 (3B)? ▼
In standardized benchmark testing on clean printed text, AWS Textract achieved 98.1% accuracy compared to Nanonets OCR 2 (3B)'s 97.2%. On complex table structure extraction, AWS Textract recorded a 93.8% TEDS score vs Nanonets OCR 2 (3B)'s 91% TEDS score.
Which API is faster: AWS Textract or Nanonets OCR 2 (3B)? ▼
AWS Textract has an average single-page response time of 850ms (p50 latency) vs Nanonets OCR 2 (3B)'s 380ms. Under high concurrency, AWS Textract reaches 2100ms p95 latency vs Nanonets OCR 2 (3B)'s 850ms.
When should I choose AWS Textract over Nanonets OCR 2 (3B)? ▼
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 Nanonets OCR 2 (3B) if you prioritize: Engineering architecture documents with embedded flowchart diagrams, Legal contracts requiring watermark and signature verification, Scientific documents with structured schema diagrams.