AWS Textract Pricing: Pay-as-You-Go Document AI (2026)

Pricing overview

AWS Textract's pricing structure is based on a pay-as-you-go model, where users are charged for the actual number of pages processed and the specific features utilized for document analysis. This model aims to align costs with usage, making it suitable for varying workloads from small-scale projects to large-volume enterprise applications. There are no upfront fees or mandatory minimum commitments, allowing users to scale their usage up or down as needed AWS Textract pricing details.

The primary cost drivers for Textract include:

• Number of pages: The fundamental unit of billing is typically per page processed.
• Feature usage: Different Textract APIs and features, such as basic text detection versus structured data extraction from forms or tables, have distinct pricing rates.
• Volume tiers: AWS Textract employs a tiered pricing system, meaning the per-page cost decreases as the total volume of pages processed within a month increases.
• Asynchronous vs. Synchronous processing: While the core pricing is page-based, the method of processing (synchronous for immediate results or asynchronous for larger documents and batches) can sometimes influence how costs are grouped, though the underlying page rates generally apply.

For operations involving specialized document types, such as financial documents or identity cards, Textract offers purpose-built APIs with their own pricing structures, reflecting the complexity and value of the extracted data Textract API Reference. These specialized APIs often combine the detection and extraction steps into a single request, simplifying the billing model for those specific use cases.

Plans and tiers

AWS Textract does not offer traditional "plans" in the sense of subscriptions or fixed packages. Instead, its pricing is granular, based on the specific API operations performed and the volume of pages. The services are categorized into different "features" or APIs, each with its own pricing tiers.

The key pricing components and their associated tiers are:

1. Analyze Document (Forms and Tables): This API extracts structured data from documents, identifying key-value pairs in forms and data in tables.
2. Detect Document Text: This API only detects raw text and lines in a document.
3. Analyze Expense: Specifically designed for processing receipts and invoices.
4. Analyze ID: For extracting data from identification documents like driver's licenses and passports.
5. Queries: This feature allows users to ask natural language questions about their documents, extracting specific information without explicit form or table definitions.

Each of these components typically features tiered pricing, where the cost per unit (e.g., per page) decreases at higher processing volumes. For instance, the first tier might cover the first million pages processed per month, with subsequent tiers offering reduced rates for additional pages. This tiered approach encourages higher usage by reducing marginal costs.

Example Pricing Tiers (Illustrative, refer to AWS for current rates)

Note: The prices listed in this table are illustrative and based on publicly available information as of 2026-05-29. For the most current and exact pricing, users should consult the official AWS Textract pricing page.

Free tier and limits

AWS Textract offers a free tier designed to allow new users to experiment with the service and evaluate its capabilities without incurring costs. This free tier is available for the first three months after a user processes their first document with Textract.

The free tier includes:

• 750,000 pages per month for the AnalyzeDocument API when used for forms and tables extraction.
• This allowance resets each month for the duration of the three-month period.

This free tier is specific to the "Forms and Tables" feature of the AnalyzeDocument API. Other Textract APIs, such as Detect Document Text, Analyze Expense, Analyze ID, or Queries, do not typically fall under the same free tier allowance and may incur charges from the first use. It is important for users to monitor their usage within the AWS Management Console to track their consumption against the free tier limits AWS Free Tier details.

Once the free tier period expires or the usage exceeds the monthly allowance, standard pay-as-you-go rates apply. This structure enables developers and businesses to prototype and test applications extensively before committing to larger production expenses.

Real-world cost examples

To illustrate AWS Textract's pricing, consider several common scenarios:

Scenario 1: Basic Text Extraction for Archiving

• Requirement: Digitize 500,000 pages of historical documents to make them searchable, only requiring raw text extraction.
• API Used: Detect Document Text.
• Calculation: Assuming a rate of $0.50 per 1,000 pages for the first million pages.
• Cost: (500,000 pages / 1,000) * $0.50 = $250.00

Scenario 2: Invoice Processing for Accounts Payable

• Requirement: Process 10,000 invoices monthly, extracting line items, totals, and vendor information.
• API Used: Analyze Expense.
• Calculation: Assuming a rate of $0.05 per document.
• Cost: 10,000 documents * $0.05 = $500.00 per month.

Scenario 3: High-Volume Forms and Table Extraction

• Requirement: Process 2 million pages per month from various forms and reports, extracting structured data (key-value pairs and tables).
• API Used: Analyze Document (Forms and Tables).
• Calculation: Using tiered pricing:
• First 1,000,000 pages: (1,000,000 / 1,000) * $1.50 = $1,500.00
• Next 1,000,000 pages: (1,000,000 / 1,000) * $1.20 = $1,200.00
• Total Cost: $1,500.00 + $1,200.00 = $2,700.00 per month.

Scenario 4: Identity Document Verification

• Requirement: Verify 5,000 ID cards per month for customer onboarding.
• API Used: Analyze ID.
• Calculation: Assuming a rate of $0.06 per document.
• Cost: 5,000 documents * $0.06 = $300.00 per month.

These examples demonstrate how costs can vary significantly based on the specific Textract API utilized and the volume of documents processed. Users are advised to use the AWS Textract pricing calculator on the official AWS website for precise estimates tailored to their specific use cases and current rates.

How the pricing compares

AWS Textract operates within a competitive landscape of cloud-based OCR and document AI services. Key alternatives include Google Cloud Vision AI and Microsoft Azure Computer Vision. While all these services offer pay-as-you-go models, their specific pricing structures, free tier allowances, and feature sets can vary.

• Google Cloud Vision AI: Google's offering also uses a pay-per-feature model. For Optical Character Recognition (OCR), it typically charges per 1,000 units (where a unit can be a page or image). Its pricing might differentiate between basic text detection and document text detection, which is optimized for dense documents. Google's free tier often includes a certain number of units per month for specific features, like 1,000 units for basic OCR Google Cloud Vision AI pricing.
• Microsoft Azure Computer Vision: Azure's service, part of Azure AI Services, similarly charges based on the number of transactions or pages processed. It provides distinct pricing for OCR (read API), handwriting recognition, and specialized document intelligence capabilities. Azure's free tier typically includes a limited number of transactions per month for its Computer Vision services, allowing for initial testing Azure Computer Vision pricing.

When comparing AWS Textract with these alternatives, several factors are important beyond just the per-page cost:

• Feature granularity: Textract's specific APIs for forms, tables, expenses, and IDs can sometimes offer more precise cost control and specialized accuracy for those use cases compared to general OCR services that might require additional post-processing.
• Ecosystem integration: For organizations already heavily invested in the AWS ecosystem, Textract often provides seamless integration with other AWS services (e.g., S3 for storage, Lambda for processing, Comprehend for NLP), which can reduce overall development and operational costs.
• Free tier specifics: While all provide a free tier, the exact allowances (e.g., 750,000 pages for Textract's forms/tables vs. 1,000 units for Google's OCR) can influence initial development costs.
• Volume discounts: The breakpoints and percentage discounts for higher volumes can differ significantly across providers, impacting costs for large-scale deployments.

Choosing the most cost-effective solution often depends on the specific document types, the required level of data extraction (raw text vs. structured data), and the existing cloud infrastructure of the user. A detailed cost analysis using each provider's pricing calculator is recommended for accurate comparisons.