Why teams look for an Extend alternative
Extend is a credible product, and most teams who search for an alternative are not unhappy with its extraction. They are usually looking because the job changed around it:
- The pipeline became the product — parse, classify, split, and extract calls are wired up, and now review queues, validation rules, retries, and status tracking are the work.
- Someone outside engineering has to run it — operations or compliance needs to review low-confidence fields, approve exceptions, and pull evidence without reading code.
- Intake has to include the sender — a portal where customers or vendors upload, get reminded, and see status, instead of files arriving by email.
- Compliance wants evidence per field — which model, which prompt version, which reviewer, and which validation rule touched a value, retrievable months later, per tenant.
What to keep in mind about Extend
Extend is strongest around a developer-first API suite with an unusually broad set of primitives, including form editing and tamper checks, plus a dashboard for iterating on a schema before the call goes into code. A team that wants those building blocks and intends to own the workflow around them is well served. Our side-by-side page, Cogneris vs Extend, spends as much time on that case as on ours.
The shortlist
Six options, each with a link to a side-by-side page. We list ourselves first because this is our site; the rest are ordered by how often buyers evaluating Extend tell us they shortlisted them. We cite no competitor prices here, because they change faster than this page does.
1. Cogneris
Document AI platform for API-first workflows and portals. Schema-based, zero-shot extraction returns typed JSON with per-field confidence and citations; validation rules, review queues, portal intake, webhook delivery, and tenant controls sit on top, and every field carries an audit trail with model version, prompt version, reviewer ID, and validation status. Pay-per-page, 400 free credits, no card. Weakness: a narrower vendor with a shorter track record, and not the cheapest raw OCR primitive. See the platform.
2. Reducto
Schema extraction, citations, and developer-first parsing. The nearest neighbour to Extend for teams whose first measurement is parsing quality for agents and RAG. Cogneris vs Reducto.
3. LandingAI ADE
Agentic document extraction with visual grounding. Strong when layout-heavy documents and visual citations matter more than workflow tooling. Cogneris vs LandingAI ADE.
4. Mindee
Developer-focused extraction APIs and custom models. Strong when your documents map tightly onto its document models and you want a fast first call. Cogneris vs Mindee.
5. Unstructured
Document partitioning and preprocessing for RAG pipelines. Strong when the output is chunks for a retrieval index rather than fields for a system of record. Cogneris vs Unstructured.
6. LlamaParse
Parsing for LLM and agent pipelines. Strong when you are already building on that ecosystem and extraction is one step in a larger agent workflow. Cogneris vs LlamaParse.
At a glance
| Alternative | Strongest at | Consider when |
|---|---|---|
| Cogneris | Extraction plus validation, review, portals, and audit trail in one API | The workflow is what you need to buy, not only the primitives |
| Reducto | Schema extraction, citations, developer-first parsing | Parsing quality for agents and RAG is the first measurement |
| LandingAI ADE | Agentic extraction with visual grounding | Layout-heavy documents and visual citations lead the evaluation |
| Mindee | Developer-focused extraction APIs and custom models | Your documents map tightly onto a prebuilt model |
| Unstructured | Partitioning and preprocessing for RAG | The output is chunks for retrieval, not fields for a record |
| LlamaParse | Parsing for LLM and agent pipelines | Extraction is one step in a larger agent workflow |
How to run the evaluation
Take your hardest 25 documents, not a demo set, and run the same files through Extend and each alternative. Compare field accuracy, citation quality, schema stability, latency, review effort, and the total work to reach your system of record. Our document extraction benchmark guide describes the method, and we run a 7-day evaluation that produces an accuracy and latency report you can show your CTO. Checked 11 November 2026.