Sensible vs Textract

Amazon Textract returns raw OCR output. You build the validation, schema enforcement, audit trails, and document-type configurations yourself. Sensible includes all of it.

Validation and audit trails included

Schema enforcement on every field plus full provenance back to source coordinates; Textract returns raw OCR output and leaves validation to your team

150+ document types ready

Pre-built configs for invoices, bank statements, ACORD forms, loan estimates, and more; Textract gives you OCR primitives and AnalyzeDocument, not document-specific extraction

Config as code, not pipeline assembly

SenseML configs version-controlled and CI/CD ready; with Textract you're stitching together Lambda, S3, and downstream services into a custom pipeline

Per-document pricing

A 50-page packet costs the same as a single page; Textract bills per page processed

Hybrid extraction, not OCR alone

LLM parsing for layout flexibility plus deterministic rules for predictability; Textract is primarily OCR with AnalyzeDocument extensions

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Sensible vs. Textract: Key Differences

Amazon Textract is an AWS service for extracting text, forms, and tables from documents. It is a building block — useful, well-priced, but it stops at OCR plus structural detection. Document-type configurations, schema validation, confidence routing, and audit trails are all DIY. Sensible includes those as platform capabilities: validated JSON output, per-field provenance, and pre-built configs for the document types most teams need.

Textract

Why it matters

What you get

Validated JSON output for 150+ document types

OCR text, forms, tables, and a handful of analyze-document primitives (invoice, ID, expense)

Sensible is a finished extraction service; Textract is a primitive you assemble around

Pre-built support

150+ pre-built configs, production-ready

Pre-trained models for invoices, receipts, IDs, and expense docs

Sensible covers a much wider library of business-document types out of the box

Schema enforcement

Output validated against your schema on every extraction

Returns extracted fields without schema-level validation

Catch errors at extraction time instead of in your database

Audit trail

Full provenance — every field traced to source coordinates

Returns bounding boxes per token but no field-level traceability

Auditors and reviewers can see exactly why each extracted value is in the output

Confidence signals

Per-field confidence scores with automatic flagging for review

Per-token confidence scores in raw output

Route uncertain extractions to human review without building your own scoring logic

Pricing model

Per-document, regardless of page count

Per-page, with additional charges for analyze-document features

A 50-page packet costs the same as a one-page extract; budget without surprise overages

Configuration

SenseML configs version-controlled and CI/CD ready

Adapters and Custom Queries trained via the AWS console

Treat extraction as code, not as console-trained model artifacts

Document complexity

Multi-page, multi-table, nested fields, 1,000+ page documents

Strong on standard forms and tables; complex layouts require custom orchestration

Sensible handles the documents that break primitive OCR plus table-detection

Services & support

Full-service option — expert team builds, deploys, and maintains your configurations

AWS support tiers and Solution Architect engagements

Outsource extraction operations entirely, or get expert help to ship faster

Integration

REST API, webhooks, Python and Node SDKs

AWS SDK, S3 triggers, Lambda integration

Both API-first; Sensible's integration footprint is independent of any cloud provider

Lock-in

Cloud-agnostic — extract from anywhere, deliver anywhere

Tightly coupled to AWS account and region

Avoid binding document extraction to a specific cloud vendor

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Sensible vs. every other IDP platform

See how Sensible compares for your documents

Skip the pipeline assembly. Get validated JSON out of the box.