Which AI document extraction providers can run in my own cloud?

As of November 2, 2026: Reducto offers VPC and on-prem deployments on its Enterprise plan; Unstructured's Business plan deploys as a dedicated instance or inside your VPC; Microsoft's Azure Document Intelligence runs as Docker containers, including fully disconnected containers on a commitment-tier plan after an access request; and Docling is MIT-licensed open source you run anywhere. Managed services such as AWS Textract and Google Document AI keep data in your cloud account's region but run on the provider's infrastructure, not in your VPC.

What is a managed AI operations provider for document extraction in the customer's cloud?

A vendor that deploys and operates its extraction software inside your cloud account or VPC, so documents never leave your network while the vendor still handles upgrades and support. Reducto Enterprise and Unstructured Business both sell this model. The alternative is self-operating an open-source stack such as Docling, or running Azure Document Intelligence containers yourself.

Should I use open-source Docling or a commercial provider in my VPC?

Use Docling when your documents are mostly digital PDFs and office files and you have engineers to run and tune it; it parses PDF, DOCX, PPTX, XLSX, HTML, images, email and more into a structured document model under the MIT licence. Choose a commercial provider when you need schema-based extraction with citations, handwriting and messy scans at high accuracy, a contractual SLA, and someone else on call.

Quick Answer

Document Extraction Providers That Run in Your Own Cloud

Q: How much does document extraction cost when self-hosted or in a VPC?

VPC and on-prem tiers are quoted by sales at every commercial vendor. For a baseline, the public pay-as-you-go rates are: Reducto Parse $10 per 1,000 pages, Extract $20 and Deep Extract $40 per 1,000 pages (batch 20% off Parse and Extract), after $150 of free usage; Unstructured $0.015 a page after 10,000 free pages. Azure's disconnected containers use commitment-tier pricing at a discount to standard. Docling has no licence fee; you pay for your own compute.

Published: November 2, 2026

The short answer

If documents must not leave your network, you have four deployment models. As of November 2, 2026:

Vendor-managed in your VPC: Reducto (Enterprise) and Unstructured (Business).
Containers you run, even air-gapped: Azure Document Intelligence connected or disconnected containers.
Open source you operate: Docling (MIT).
Cloud-native service in your account’s region: AWS Textract, Google Document AI — data stays in your tenancy and region, but not in your VPC.

This page is a spoke of our best enterprise AI OCR and document processing vendors guide.

The comparison

Provider	Runs where	Who operates it	Public price baseline	Compliance signals
Reducto	VPC or on-prem (Enterprise); EU/AU residency endpoints (Growth)	Reducto + your cloud	Parse $10, Extract $20, Deep Extract $40 per 1,000 pages; $150 free	BAA and zero data retention (Growth+), SSO/SAML, RBAC
Unstructured	Dedicated instance, VPC or multi-tenant SaaS (Business)	Unstructured	$0.015/page after 10,000 free pages	SOC 2 Type 2, ISO 27001, HIPAA, GDPR-ready
Azure Document Intelligence containers	Your Docker hosts; disconnected mode offline	You	Commitment tiers (disconnected requires request + commitment plan)	Microsoft compliance estate
Docling	Anywhere you run Python	You	Free (MIT) + your compute	Whatever you build around it

Prices and features read from vendor pricing pages and documentation on November 2, 2026. VPC and on-prem prices are quoted, not public.

1. Reducto — best managed extraction in your VPC

Reducto’s Enterprise plan lists VPC and on-prem deployments, custom SLAs, custom processing pipelines and dedicated on-call support. Below it, Growth adds zero data retention, a BAA and EU/AU data residency endpoints — enough for many teams that need residency rather than isolation. Public per-page rates for scoping: Parse $10, Extract $20, Deep Extract $40, Split $20, Classify $7.50 per 1,000 pages, with batch 20% off Parse and Extract, after $150 of free usage. Reducto also offers up to $5,000 in migration credits from another processor.

Pick it if you need schema extraction with citations, tables and charts, and want the vendor on call.

2. Unstructured — best for RAG ingestion pipelines in a VPC

Unstructured’s Business plan deploys as a dedicated instance or in your VPC, with multi-user accounts and full data isolation; it is SOC 2 Type 2 and ISO 27001 certified and HIPAA compliant. The SaaS baseline is $0.015 per page after 10,000 free pages, all features included. Its strength is turning mixed document types into clean chunks for retrieval pipelines.

Pick it if the goal is feeding a knowledge base or vector store, not field-by-field extraction.

3. Azure Document Intelligence containers — best for air-gapped sites

Microsoft ships Document Intelligence as Docker containers, and disconnected containers run without an internet connection. To use them you submit a request form and buy a commitment plan; commitment tiers are priced at a discount to standard pay-as-you-go. Microsoft recommends the v4.0 (2024-11-30) API for new work.

Pick it if you are a regulated or defence site with no outbound connectivity and already standardised on Azure.

4. Docling — best open source

Docling (MIT, an LF AI & Data Foundation project) parses PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, email formats, audio and more into a unified DoclingDocument with layout, reading order, table structure, code and formulas. It runs on your own hardware with no licence fee and no data leaving the box.

Pick it if you have engineers, mostly digital documents, and a hard rule against third-party processing.

How to choose

Isolation required, want a vendor on call: Reducto Enterprise or Unstructured Business.
Residency only (EU/AU): Reducto Growth’s regional endpoints may be enough.
No network at all: Azure disconnected containers or Docling.
Budget first: Docling, then pay per page only for the documents it gets wrong.
Before signing: run 200 of your own worst documents through each candidate and score field accuracy, not just text accuracy. Per-page price comparisons are in how much document extraction APIs cost per page.

Last verified: November 2, 2026.