OCR is the first step, not the final output
OCR recognizes document text. Most business workflows need more: named fields, tables, totals, identities, document types, validation status, and an audit trail. Cogneris combines OCR, layout understanding, multimodal extraction, and deterministic validation in one API.
Recognize text, tables, layout, handwriting, and fields
Use Cogneris on native PDFs, scanned PDFs, mobile photos, receipt images, invoices, bank statements, contracts, IDs, and onboarding packets. The API preserves the layout context needed to understand labels, rows, columns, and page-level evidence.
Text and layout
Read text, page structure, bounding boxes, sections, and table boundaries.
Fields and tables
Return document-specific JSON rather than making your team parse raw OCR text.
Review and validation
Send uncertain fields to review and validate values before downstream export.
Turn OCR output into structured JSON
For receipts, invoices, and KYC documents, Cogneris can return normalized fields, arrays, dates, amounts, identifiers, and validation metadata. Read the extraction docs for request and response examples.
SDK snippet: OCR plus structured output
Teams comparing OCR APIs often start with text extraction, then add tables and JSON when the output reaches a product workflow.
const ocr = await client.ocr.create({
file: './statement.pdf',
output: ['text', 'tables', 'json'],
includeCitations: true
});
console.log(ocr.pages[0].text);
console.log(ocr.tables[0].rows.length);Confidence scores and bounding boxes
Every important value can carry confidence, source page, and bounding-box evidence. Reviewers can jump from JSON to the document region that produced the value, which makes QA and audit work much faster.
Multimodal extraction for hard documents
Some documents are too messy for text recognition alone: rotated scans, unusual templates, broken tables, photos with shadows, handwritten notes, and packets with mixed document types. Cogneris combines OCR with multimodal reasoning and validation rules so the output is built for decisions, not just search.
Agentic OCR for high-risk workflows
For checks, logistics packets, insurance forms, and finance documents, the OCR result is only the first pass. Cogneris can classify the document, extract the right schema, check totals or identifiers, and route uncertain fields to review before the workflow trusts the data.
Human review for uncertain fields
When a value is low-confidence or high-risk, Cogneris can route that field to human review while the rest of the document continues through automation. That keeps the workflow moving without pretending every OCR result is equally trustworthy.
OCR API pricing and workflow cost
Most OCR APIs look inexpensive when you compare only page recognition. The real cost appears when teams add custom parsers, table cleanup, confidence thresholds, review tools, and audit evidence. For buying criteria, see the document extraction API pricing guide and the extraction benchmark.