Google Document AI vs AWS Textract — Which One Is Better in 2026?

Google Document AI and AWS Textract are the two most widely used document extraction platforms. But they approach the problem very differently — and both are significantly more expensive than modern alternatives.

Pricing Comparison

Key Differences

Setup complexity: Both Textract and Document AI require cloud project setup, IAM/GCP permissions, and pipeline configuration. ParseFlow requires a single API key.

Output format: Textract returns raw block objects you must parse into structured data. Document AI returns typed entities but requires custom processor training for best results. ParseFlow returns structured JSON with text, forms, and tables in one response.

Multi-page pricing: Both hyperscalers bill per-page, per-feature for every page attempted — including failures. ParseFlow only bills for successful pages.

When to Choose What

Choose AWS Textract if you are already deep in the AWS ecosystem and need raw OCR at the lowest per-page cost (text-only).

Choose Google Document AI if you need pre-built specialized processors (invoices, receipts, W-2s) and have GCP infrastructure.

Choose ParseFlow if you want the best price-to-feature ratio, zero infrastructure setup, and structured output out of the box.