Comparison

Amazon Textract or a general model that can see?

Both turn documents into data. They are built on different assumptions, and the right choice depends on what you need done with the content afterward.

The structural difference

Textract is a purpose-built document service. It does a defined set of jobs — text detection, table extraction, form key-value pairs — and it does them as a managed AWS service. It is designed to be predictable and to fit inside an AWS architecture.

What we offer is different in kind: a general language model that can see. It does not just extract the text, it understands the document and returns records in a shape you define. That is more flexible and less predictable — a trade you should make deliberately.

Where Textract is the better answer

  • Your architecture is already on AWS and you want it to stay there
  • You need document primitives — raw text and coordinates — not interpretation
  • You need a per-page cost model that is easy to forecast
  • You want a service with a long track record in production

Where a general model is the better answer

  • You need the content understood, not just detected
  • Your output schema is specific to your business
  • One model handles extraction, classification and summarization together
  • You want a negotiable contract rather than a cloud provider's standard terms

Questions people ask when comparing

Which is more accurate?

For raw text detection on clean documents, a purpose-built OCR service is very strong. For understanding a messy document and returning a structured record, a model that reasons is doing a different job. Test both on your own documents — that is the only comparison that means anything.

Which is cheaper?

They are priced on different units — per page versus per token — so the answer depends on your documents and your volume. Send us a sample and your volume and we will work it out with you.

Can we use both?

Yes, and it can be a sensible split: Textract for the clean, high-volume documents where primitives are enough, and a model for the messy ones that need interpretation.

Do you have an AWS integration?

We are an HTTP endpoint, so it calls from anything, including from inside AWS. We are not an AWS service and we do not claim to be one.

TEXTRACT OR A GENERAL MODEL

Diagram of the comparison: two columns side by side.
The alternative Amazon Textract a purpose-built document OCR service Workhorse Workhorse a general model with native image input
What it isDocument OCR as a managed serviceA general model reading images directly
Billing unitPer page processedPer token
SetupAn AWS account and IAMAn OpenAI-compatible endpoint
SchemaFixed output shapesWhatever schema you define
Beyond OCRDocument extractionExtraction, classification, summarization
ContractAWS termsNegotiable, with a DPA
Best whenYou are already deep in AWSYou want one model for several jobs
Per page or per token — the billing decides.Structural comparison only. Check each provider's current terms and pricing.

Tell us what you're running.

Send us your monthly volume and what you use today. We usually reply within one business day with a price and a named contact.