Feature Comparison
See how docbatch.ai compares to AWS Textract across key features for document processing.
| Feature | docbatch.ai | AWS Textract |
|---|---|---|
| Batch processing UI | ||
| No-code interface | ||
| Invoice-specific parsing | ||
| Contract parsing | Generic only | |
| Resume parsing | ||
| Custom document schemas | Queries feature | |
| Visual schema builder | ||
| JSON export | ||
| CSV/Excel export | ||
| Table extraction | ||
| Handwriting recognition | ||
| No AWS account needed | ||
| No coding required | ||
| Free tier | 20 credits | 1,000 pages/month (12 months) |
Pricing Comparison
docbatch.ai uses simple pay-per-document pricing. AWS Textract uses pay-per-page (varies by feature used).
docbatch.ai
Pay per document — no subscriptions
AWS Textract
Pay-per-page (varies by feature used)
AWS Textract: Pros & Cons
Pros
- Part of the AWS ecosystem — integrates with S3, Lambda, etc.
- Generous free tier (1,000 pages/month for 12 months)
- Handwriting recognition
- Table extraction with cell-level accuracy
- Highly scalable — handles millions of pages
- HIPAA and SOC 2 compliant
Cons
- Requires AWS account and technical implementation
- Coding required — no visual interface
- Complex pricing — different rates per feature
- No structured output — returns raw text/form/table data
- Need to build your own extraction logic on top
- AWS billing complexity
- No built-in export to CSV or Excel
Why Teams Switch from AWS Textract to docbatch.ai
Here's why businesses are choosing docbatch.ai over AWS Textract for batch document processing.
Zero coding required
docbatch.ai is ready to use in minutes. AWS Textract requires writing code, setting up IAM roles, configuring S3 buckets, and building extraction logic.
Structured output
docbatch.ai returns clean, structured data (JSON, CSV, Excel) with named fields. Textract returns raw OCR data that you must parse and structure yourself.
Simple pricing
one price per document, no complexity. Textract charges differently for text detection, forms, tables, and invoice analysis — costs add up fast.
Visual schema builder
define what data you want in plain language. No need to write Textract Queries or build post-processing pipelines.
Production-ready
upload documents, get structured results. With Textract, you're building your own document processing system from scratch.
Frequently Asked Questions
It depends on your use case. For basic text detection, Textract is $1.50/1,000 pages. But for structured invoice extraction (which is what most users need), Textract costs $10-50/1,000 pages depending on features. docbatch.ai's Scale plan is $15/1,000 documents with full structured extraction included.
No coding needed for docbatch.ai — everything works through a visual web interface. AWS Textract requires writing code (Python, Java, etc.) to call APIs, process responses, and structure output. docbatch.ai is the no-code alternative.
docbatch.ai achieves 90-98% accuracy by leveraging multiple AI providers including models that power services like Textract. For structured document extraction (invoices, contracts, resumes), accuracy is comparable.
You can, but you'll need to: create an AWS account, set up IAM permissions, write code to call APIs, parse raw OCR output, build extraction logic, handle errors, and create export functionality. docbatch.ai does all of this out of the box with a visual interface.