The June 2026 shortlist
| Platform | Best fit | Watch-out |
|---|---|---|
| Cogneris | API-first document AI with validation, review, portals, and audit trail | Not the cheapest raw OCR primitive |
| Google Document AI | GCP teams that want hyperscaler extraction primitives | You build much of the workflow layer |
| Azure Document Intelligence | Microsoft-first enterprises and Azure AI stacks | Platform lock-in and orchestration work |
| AWS Textract | AWS-native OCR, forms, and table extraction | Review, validation, and UX are on you |
| Rossum, Docsumo, ABBYY, Hyperscience | Operations teams buying mature IDP suites | Often heavier implementation and commercial motion |
| Nanonets, Mindee, Veryfi, Klippa / Doxis | API-first OCR, invoices, receipts, and document-specific extraction | Check review, audit, and multi-document workflow depth |
| Reducto, LandingAI ADE, LlamaParse, Mistral OCR | Modern API, agentic extraction, parsing, and RAG evaluations | Validate production workflow controls, not only parsing quality |
| Unstructured | Document parsing and ETL for RAG and GenAI pipelines | Structured business extraction may still need a workflow layer |
Emerging API-native category
The fastest-moving group in June 2026 is not classic IDP. It is API-native document AI: schema extraction, document parsing for RAG, agentic extraction, and developer-first OCR. Buyers should compare SDK quality, schema stability, citation depth, async jobs, webhook retries, validation, human review, and audit evidence before committing to a vendor.
Agentic extraction
LandingAI ADE and similar vendors compete on schema-driven, agentic extraction. Validate citations, review controls, and async behavior.
RAG parsing
Unstructured, LlamaParse, Reducto, and Mistral OCR often appear when teams need chunks, tables, layout, and retrieval-ready document data.
Developer OCR APIs
Mindee, Veryfi, Klippa / Doxis, and Nanonets compete on fast integration, SDKs, sample outputs, and document-specific APIs.
How to choose
Shortlist by workflow, not logo size. If you only need text, OCR APIs are enough. If you need business fields with evidence, choose schema extraction. If the extracted data triggers decisions, require validation, review queues, citations, and audit logs.