AWS Textract vs Reducto
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 Reducto are closely matched with overall scores of 8.9/10 and 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 99%+ uptime sla with strict soc2 type ii and hipaa zero data retention policies, Reducto 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 | Reducto Best for Clean Markdown & Compliance Reducto AI |
|---|---|---|
| 💰 Pricing & Licensing | ||
| Base OCR (per 1,000 pages) | $1.50 | $15.00 |
| Table Extraction (per 1k pages) | $15.00 | $15.00 |
| Forms & Key-Values (per 1k) | $50.00 | $15.00 |
| Recurring Free Tier | 1,000 pages raw text OCR; 100 pages Forms/Tables/Queries per month | 15,000 free credits upon sign up |
| 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 | 81 /100 |
| Table Structure (TEDS Score) | 93.8% | 93.5% |
| Handwriting Recognition | 88.4% (Good) | 88% (Good) |
| Single-Page Latency (p50) | 850 ms p95: 2100ms | 480 ms p95: 1150ms |
| ⚙️ Features & Document AI | ||
| Supported Languages | 6+ English, Spanish, German, Italian... | 80+ English, Spanish, French, German... |
| Deployment Modes | Cloud API (Synchronous & Asynchronous S3 Batch) | Cloud API, VPC & Air-Gapped On-Premise |
| Bounding Polygon Precision | Word-level | Block-level |
| Searchable PDF / Markdown | ✅ Searchable PDF | ❌ JSON/Markdown |
| 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 |
| Setup Time | ~15 mins | ~5 mins |
| Max Payload / Pages | 10MB / 3000 pages | 50MB / 250 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 Reducto's $15.00 per 1,000 pages. When extracting structured tables and forms, AWS Textract charges $15.00/1k vs Reducto's $15.00/1k.
| Volume Tier | AWS Textract | Reducto | Cheaper Option |
|---|---|---|---|
| 10,000 pages/mo (Starter) | $135 | $135 | Equal Cost |
| 50,000 pages/mo (Growth) | $735 | $735 | Equal Cost |
| 250,000 pages/mo (Enterprise) | $3,735 | $3,735 | Equal Cost |
| 1,000,000 pages/mo (Scale) | $14,985 | $14,985 | Equal Cost |
🎯 Accuracy & Latency Breakdown
On the OlmOCR-Bench deterministic benchmark, Reducto outperforms AWS Textract (81 vs 76.5), exhibiting fewer hallucinations on multi-column reading order and mathematical typography. Both solutions offer comparable table parsing quality (93.8% vs 93.5% TEDS score).
Speed & Latency Profile
Reducto is the faster engine with an average single-page response time of 480ms (vs AWS Textract's 850ms). This makes Reducto particularly advantageous for user-facing applications requiring instantaneous feedback.
Table & Structure Recognition
AWS Textract (93.8% TEDS) vs Reducto (93.5% TEDS). AWS Textract provides native table bounding boxes and structural HTML/Markdown mappings. Reducto includes dedicated table parsing capabilities.
Composite Performance Breakdown
AWS Textract Score Breakdown
Standardized 1-10 benchmark scaleReducto 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 $15/1k)
When to Choose Reducto
Best suited for developers and companies that prioritize:
- ✓ Regulated enterprise RAG pipelines requiring zero data retention
- ✓ Direct document parsing into structured Markdown/HTML tables
- ✓ VPC and on-premise sovereign enterprise deployments
- ✓ You need faster response times (~480ms vs ~480ms)
💻 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']}")import requests
url = "https://api.reducto.ai/parse"
headers = {"Authorization": "Bearer YOUR_API_KEY"}
files = {"file": open("document.pdf", "rb")}
response = requests.post(url, headers=headers, files=files)
print(response.json()["result"])❓ AWS Textract vs Reducto FAQs
Which is cheaper: AWS Textract or Reducto? ▼
AWS Textract costs $1.50 per 1,000 base pages vs Reducto at $15.00 per 1,000 base pages. For table parsing, AWS Textract is $15.00/1k vs Reducto at $15.00/1k.
Which OCR API has higher accuracy: AWS Textract or Reducto? ▼
In standardized benchmark testing on clean printed text, AWS Textract achieved 98.1% accuracy compared to Reducto's 98.4%. On complex table structure extraction, AWS Textract recorded a 93.8% TEDS score vs Reducto's 93.5% TEDS score.
Which API is faster: AWS Textract or Reducto? ▼
AWS Textract has an average single-page response time of 850ms (p50 latency) vs Reducto's 480ms. Under high concurrency, AWS Textract reaches 2100ms p95 latency vs Reducto's 1150ms.
When should I choose AWS Textract over Reducto? ▼
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 Reducto if you prioritize: Regulated enterprise RAG pipelines requiring zero data retention, Direct document parsing into structured Markdown/HTML tables, VPC and on-premise sovereign enterprise deployments.