13 document functions

Turn any document into
structured data

One uniform API. Upload a file, pick a function, get back typed JSON. Extraction is shared; interpretation is per-function.

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How it works

Extraction is shared. Interpretation is per-function.

Every upload is ingested once — magic-byte sniffed, sha256-keyed, and cached. The same document hitting two functions pays for OCR once. A per-function LLM step runs on top of the canonical representation.

  • 1Ingest → sniff + sha256 + validate
  • 2Extract → provider → RecognizedDocument
  • 3Interpret → fn.execute → structured output
  • 4Validate → Zod + business rules → typed result
POST /v1/ocr/RECEIPT_PARSING
Authorization: Bearer hok_live_<key>
Content-Type: multipart/form-data

{
  "requestId": "req_01J...",
  "function": "RECEIPT_PARSING",
  "result": {
    "merchant": { "name": "Shoprite" },
    "currency": "NGN",
    "lineItems": [...],
    "subtotal": 4275.00,
    "tax": 475.00,
    "total": 4750.00,
    "confidence": "high"
  }
}

Features

Built for production

One API, 13 functions

Receipt parsing, ID verification, bank statements, and more — all behind a single endpoint.

Deterministic validation

MRZ checksums, receipt totals, and tamper signals are recomputed in code. The LLM extracts; verdicts are never trusted to the model.

Any input format

PDF, image, DOCX, or plain text — normalized into one canonical representation before interpretation.

Functions

13 ready-to-use parsers

Discoverable at runtime via GET /v1/ocr/functions

Text Extraction

Canonical markdown from any file type

Receipt Parsing

Merchant, line items, totals, tax

ID Verification

ID fields + MRZ, verified deterministically

Bank Statement Analysis

Transactions, balances, inflow/outflow

Document Classification

Label any document into a type

Form Data Extraction

Caller-defined fields, dynamic schema

Pricing

Simple, transparent pricing

Start free. Scale as you grow. All prices in NGN.

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