Trellis vs Amazon Textract

Detailed side-by-side comparison to help you choose the right tool

Trellis

Document Processing

An AI-powered document intelligence platform that transforms unstructured documents into structured, actionable data. Trellis leverages LLMs to extract, classify, and analyze information from complex documents at scale — supporting PDFs, scanned images, spreadsheets, and more — with a developer-friendly API and customizable output schemas for seamless integration into enterprise workflows.

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Starting Price

Custom

Amazon Textract

🔴Developer

Document Processing

AWS document intelligence service that extracts text, tables, forms, and handwriting from scanned documents using machine learning — with specialized APIs for invoices, IDs, and lending documents.

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Starting Price

Free tier

Feature Comparison

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FeatureTrellisAmazon Textract
CategoryDocument ProcessingDocument Processing
Pricing Plans127 tiers8 tiers
Starting PriceFree tier
Key Features
  • Unstructured document parsing across PDFs, scanned images, spreadsheets, and Word documents
  • LLM-powered data extraction with high accuracy on printed and typed text
  • Custom schema mapping to define structured output fields per document type
  • Optical Character Recognition (OCR)
  • Table extraction with cell relationships
  • Form key-value pair extraction

Trellis - Pros & Cons

Pros

  • Handles complex multi-format documents including PDFs, scans, and spreadsheets in a single pipeline without needing separate tools per format
  • LLM-powered extraction adapts to layout variations without requiring rigid templates for each new document format
  • Scalable batch processing architecture designed for enterprise-grade document volumes in the thousands per day
  • Developer-friendly REST API with customizable output schemas enables rapid integration into existing ETL and data workflows
  • Reduces manual data entry errors and turnaround times in document-heavy pre-service operations
  • Focused on operational document intelligence rather than general-purpose AI, providing purpose-built extraction workflows

Cons

  • Enterprise-focused pricing with custom quotes may be prohibitive for small teams, freelancers, or startups with low document volumes
  • Requires upfront schema configuration and pipeline setup before first extraction, adding time-to-value for new document types
  • Accuracy may degrade on handwritten documents or heavily degraded scans compared to clean typed or printed text
  • Limited publicly documented language support beyond English, which may restrict use for multinational organizations
  • No self-serve pricing page — prospective users must contact sales to evaluate cost, making it harder to budget in advance

Amazon Textract - Pros & Cons

Pros

  • Deep AWS ecosystem integration with S3, Lambda, SNS for automated pipelines
  • Strong handwriting recognition that outperforms many competitors
  • Highly competitive per-page pricing at scale ($0.0006/page after 1M pages)
  • Specialized APIs for invoices, IDs, and lending reduce custom development
  • Fully managed — no infrastructure to maintain, automatic scaling
  • Handles documents up to 3,000 pages via async processing
  • Free tier available for evaluation and small-scale use

Cons

  • No custom model training — limited to prebuilt extraction capabilities
  • JSON output requires significant preprocessing for LLM and RAG applications
  • Table extraction accuracy trails Azure Document Intelligence on complex layouts
  • Synchronous API limited to single pages — multi-page requires S3 and async
  • Form extraction at $0.05/page can get expensive at moderate volumes
  • AWS lock-in — tightly coupled with S3, Lambda, and other AWS services

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🔒 Security & Compliance Comparison

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Security FeatureTrellisAmazon Textract
SOC2✅ Yes
GDPR✅ Yes
HIPAA✅ Yes
SSO✅ Yes
Self-Hosted❌ No
On-Prem❌ No
RBAC✅ Yes
Audit Log✅ Yes
Open Source❌ No
API Key Auth✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data ResidencyUS, EU, ASIA
Data Retentionconfigurable
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