Amazon Textract vs Hyperscience
invoice & document OCR head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Pay-per-page API pricing, no subscription | Annual subscription, quote-based |
| Deployment | Cloud | Cloud, On-premise, Hybrid |
| Company size | SMB, Mid-market, Enterprise | Enterprise, Mid-market |
| Stated ERP integrations | None listed | SAP |
| Vendor | AWS | Hyperscience |
Our take
Where Amazon Textract leads
- Stronger evidenced coverage on 12 of the 32 capabilities where they differ (led by checkbox / selection-mark detection and per-field confidence scoring).
Where Hyperscience leads
- Stronger evidenced coverage on 20 of the 32 capabilities where they differ (led by template-free classification and continuous learning from feedback).
- Stated SAP integration the alternative doesn't list.
Where they differ
The 32 capabilities (of 61 in the invoice & document OCR taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Checkbox / selection-mark detectionOCR & Recognition Engine | Core strength Selection element (checkbox/radio) detection | Not evidenced |
| Template-free classificationDocument Classification & Splitting | Not evidenced | Core strength ORCA zero-shot vision language model for irregular formats without prior training |
| Per-field confidence scoringStructured Data Extraction | Core strength | Not evidenced |
| Bounding-box / coordinate outputStructured Data Extraction | Core strength | Not evidenced |
| Natural-language query extractionStructured Data Extraction | Core strength Plain-language queries; up to 30 per page async | Not evidenced |
| Invoice extraction modelPretrained Business Document Models | Core strength AnalyzeExpense | Not evidenced |
| Receipt & expense extraction modelPretrained Business Document Models | Core strength AnalyzeExpense for receipts | Not evidenced |
| Identity document modelPretrained Business Document Models | Core strength AnalyzeID for passports and US driver's licenses | Not evidenced |
| Continuous learning from feedbackModel Customization & Continuous Learning | Not evidenced | Core strength Continuous learning from human reviewer feedback |
| Zero-shot / few-shot extractionModel Customization & Continuous Learning | Not evidenced | Core strength ORCA zero-shot vision language model |
| SLA-driven accuracy targetingHuman-in-the-Loop Review | Not evidenced | Core strength Accuracy Harness orchestrates workflows against defined SLA targets |
| Low-code workflow / pipeline builderPlatform, Ingestion & Developer Tooling | Not evidenced | Core strength Blocks and Flows low-code workflow builder |
| On-premises / private-cloud deployment optionSecurity, Compliance & ERP Integration | Not evidenced | Core strength On-premises, private-tenant cloud, SaaS, FedRAMP High, and air-gapped deployment |
| PII masking / redactionSecurity, Compliance & ERP Integration | Not evidenced | Core strength Data masking and redaction of sensitive fields |
| Signature detection & verificationOCR & Recognition Engine | Supported Signature detection with location and confidence | Not evidenced |
| Automatic document type classificationDocument Classification & Splitting | Partial AnalyzeLending classifies mortgage/loan document types only | Core strength Classification of structured forms, semi-structured documents, and unstructured text |
| Custom classifier trainingDocument Classification & Splitting | Not evidenced | Supported No-code trainer for customer-trainable models |
| Bank statement extraction modelPretrained Business Document Models | Supported Query pretraining covers bank statements | Not evidenced |
| Contract / agreement extraction modelPretrained Business Document Models | Not evidenced | Supported NLP for unstructured content such as contracts and correspondence |
| Tax form extraction modelPretrained Business Document Models | Supported Query pretraining covers W-2s | Not evidenced |
| Specialized vertical document modelsPretrained Business Document Models | Supported AnalyzeLending for mortgage/loan docs; insurance card queries | Not evidenced |
| Custom model trainingModel Customization & Continuous Learning | Not evidenced | Supported No-code trainer |
| Low-code / no-code model builderModel Customization & Continuous Learning | Not evidenced | Supported |
| Exception queue managementHuman-in-the-Loop Review | Not evidenced | Supported |
| Double-blind / QA auditingHuman-in-the-Loop Review | Not evidenced | Supported Quality Assurance and Supervision review task types |
| RPA platform connectorsPlatform, Ingestion & Developer Tooling | Not evidenced | Supported UiPath Marketplace data-entry automation component |
| Data residency controlsSecurity, Compliance & ERP Integration | Not evidenced | Supported Data subject access, export, and deletion capabilities |
| Prebuilt ERP connectorsSecurity, Compliance & ERP Integration | Not evidenced | Supported SAP connector listed among native Hypercell integrations |
| Handwriting & cursive recognitionOCR & Recognition Engine | Supported English handwriting | Core strength Handwriting and cursive recognition, including low-quality scans |
| Key-value pair extractionStructured Data Extraction | Core strength Form extraction as key-value pairs | Supported |
| Confidence-based field routingHuman-in-the-Loop Review | Supported A2I routes low-confidence extractions to reviewers | Core strength Hyper-targeted review surfacing only fields below SLA thresholds |
| Role-based access control & audit trailsSecurity, Compliance & ERP Integration | Supported IAM-based access control; API activity logging via CloudTrail | Core strength Role-based access controls and audit trails |
Both grade identically on the other 29 capabilities — see each product's full profile: Amazon Textract, Hyperscience.
Amazon Textract vs Hyperscience — FAQs
Is Amazon Textract or Hyperscience better for ERP integration?
They state different ERP coverage: Amazon Textract lists no ERP integrations publicly; Hyperscience lists SAP.
Which is cheaper, Amazon Textract or Hyperscience?
Neither publishes a list price — both quote. Ask each for the all-in first-year cost at your seat count, as one number, and compare those.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what Amazon Textract and Hyperscience should each cost you — and whether a third option belongs on your shortlist.