Deterministic AI output for document extraction
Most AI tools generate best-effort text. Octane is different: you define the exact structure and constraints up front, and the system guarantees every output conforms — no extra fields, no missing columns, no format drift.
- Exact schemaTables, nested fields, types.
- Hard constraintsEnums, bounds, patterns, required fields.
- Machine-reliableSafe to pipe into downstream systems.
- No cleanupNo regex, retries, or validators.
{
"risk_level": "LOW",
"risk_score": 2,
"status": "PASS",
"effective_date": "2025-01-15"
}Stop prompting for structure
This is not “better prompting.” It’s control. You define what the model is allowed to return — and we enforce it.
- Missing fields, extra prose, inconsistent keys.
- Post-processing, validation, and retry loops.
- Best-effort formatting, not a guarantee.
{
"counterparty": "Acme Corp",
"effective_date": "2025-10-01",
"status": "REVIEW",
"risk_level": "MEDIUM",
"risk_score": 7,
"currency": "USD"
}- Exact fields and types — always present.
- Enums, bounds, patterns — enforced.
- Safe to send to databases and workflows.
Tables, columns, nested objects, field names, and types.
Instead of asking an AI how to respond, you define what it is allowed to return.
Required vs optional fields, nullable-but-present rules, strict data types — enforced at generation time.
The model cannot hallucinate structure or values outside these rules.
- 100% predictable structure
- Safe to load into databases and spreadsheets
- No regex cleanup or retry loops
Example: define constraints once, reuse everywhere
Create a schema in the UI, run extraction on one or many documents, and receive output that matches your contract every time.
| Field | Type | Constraints |
|---|---|---|
| invoice_id | string | ^INV-[0-9]{6}$ (required) |
| total_amount | number | >= 0 (required) |
| currency | string | USD | EUR | CAD (required) |
| status | enum | PASS | FAIL | REVIEW (required) |
| confidence | number | 0–1 (required) |
| due_date | date | ISO 8601 (nullable, never omitted) |
{
"invoice_id": "INV-004218",
"total_amount": 18340.12,
"currency": "USD",
"status": "REVIEW",
"confidence": 0.91,
"due_date": null
}No units in numeric fields. No missing keys. No unexpected text. Your schema is the contract.
How it works
Built for real workflows
Use Octane anywhere you need reliable, machine-consumable structure from messy documents.