DocuOCR is the Hyland OnBase alternative for teams that want accurate document data extraction without an enterprise rollout. It classifies a mixed file, reads any layout, extracts the fields you define, checks them, sends uncertain values to a built-in reviewer, and exports clean data, with self-serve per-page pricing and nothing to deploy, configure, or template first.
Built for teams that looked at Hyland OnBase and its Brainware capture engine and found it was more content platform, partner rollout, and ECM project than their workflow needed: business users get a dashboard, developers get one REST API, and you start on your own files the same day.
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Drop in a document you would run through Hyland OnBase and watch DocuOCR classify it, read it, and return named fields, free, no deployment and no signup required.
Hyland OnBase is a capable, mature platform. It carries years of content services heritage and combines document capture, workflow automation, and document and records management in one suite, with intelligent capture delivered through Brainware, the Hyland engine that classifies documents and extracts data with OCR, ICR, and OMR. It runs on-premises or in the Hyland Cloud, and Hyland is widely recognized as a leader in content services. For a large organization standardized on OnBase, with the volume, budget, and IT resources, that breadth is a real asset. The reasons teams shop for an alternative usually come down to one thing: how much platform you have to buy, deploy, and maintain to get the extraction done.
OnBase is built for large organizations, so adopting it tends to mean an enterprise sales conversation, a configured implementation that is often partner-led, and the system integration and IT resources to deploy, connect, and maintain it as a content services platform. Pricing is not published; it is custom-quoted and licensed per customer, with both perpetual and subscription models, and reviewers note the cost can be high for small and mid-sized organizations, which makes it hard to forecast before a sales cycle. Getting accurate extraction on specialized or variable documents also involves configuring Brainware during the implementation. For a mid-market team, or anyone with a single workflow to automate, that is a lot of weight to take on for the result they actually want, which is clean data out of their documents.
DocuOCR takes the focused, ready-to-use route. Instead of deploying a content platform and configuring capture per format, you tell it which fields you want and it uses AI to read those fields on any layout, classifies a mixed batch automatically so the right extraction runs on each file, validates the values against your rules, routes anything low-confidence to a built-in review screen, and exports clean data through a dashboard for business teams and one REST call for developers, with self-serve per-page pricing. There is no rollout, no partner project, and no infrastructure to stand up. You can test it on your own documents this week to see the accuracy on your layouts and the all-in cost before you change anything.
Both apply AI to document data extraction. The difference is how you get to it: a focused, ready-to-use product that runs the same day with the workflow built in, versus a mature enterprise content services platform you deploy and configure, often through a partner. This is an honest look at where each one fits.
| Factor | DocuOCR | Hyland OnBase |
|---|---|---|
| Product type | Focused, ready-to-use extraction product | Mature enterprise content services (ECM) platform |
| Best fit | Teams that want extraction running the same day | Large enterprise, high volume, content services stack |
| Getting started | Self-serve, start on your own files today | Enterprise sales cycle and configured implementation |
| Deployment | Cloud product, nothing to stand up | On-premises or Hyland Cloud, configured rollout |
| Specialized documents | Template-free, define the fields you want | Brainware configured and tuned during implementation |
| Classification | Sorts a mixed batch automatically | Built in via Brainware, configured during rollout |
| Human review | Low-confidence reads route to a reviewer | Verification screen, part of the platform |
| Moving data out | Dashboard, export, and one REST API | Routes into ECM and enterprise systems |
| Pricing model | Self-serve, per page, workflow included | Not published, custom-quoted per customer |
| Try before you buy | Free on your own files, no signup to test | Demo and sales conversation |
If you are a large enterprise standardized on Hyland that wants a deployed content services platform with capture, workflow, and records management, on-premises options, and the budget and IT resources to run it, OnBase is built for exactly that. If you want accurate extraction without an enterprise project, DocuOCR is built on intelligent document processing: it classifies, reads, extracts, validates, and exports, so your team reviews data instead of standing up a platform. If you want the neutral background before deciding, we wrote a full explainer on what Hyland OnBase covers.
Start with whether you actually need a deployed enterprise content platform. If you do not, these are the things that decide whether an alternative fits how your team works and a budget you can plan around.
Look for a product you can start on your own documents now, with no implementation project, no partner rollout, and no sales cycle to get through first.
Favor AI that reads the fields you define on any layout, so you are not configuring a capture template or tuning rules per document type as your documents vary.
Sorts a stack of different document types automatically, so no one pre-separates files before the right extraction runs.
Self-serve per-page pricing tracks actual usage and is easy to forecast, unlike a custom enterprise license quoted per customer.
Choose a product that routes low-confidence values to a review screen, so accuracy holds without you checking every field by hand.
Lets you check accuracy and the all-in cost per page on the exact documents you process, free and without a signup or a sales call.
On security, the data in your documents often includes names, account numbers, and other sensitive details, so DocuOCR supports your recordkeeping with encryption in transit and at rest, role-based access, a full audit trail of every extraction and review, configurable retention, and US data handling. How records satisfy an internal control or an audit depends on how a system is configured and operated, so ask us about your specific requirements and deployment.
Classify, read, extract, validate. Drop a file in and the whole sequence runs on its own, with no platform to deploy and no template to configure first.
The engine reads a mixed batch and sorts it by document type, so the right extraction runs on each one without anyone separating the stack first.
OCR and ICR convert PDFs, photos, faxes, and scans into machine-readable text, including handwriting and stamps, without a template tuned per layout.
DocuOCR pulls the values tied to their labels and returns the fields you defined, on any layout, so you get structured data instead of just recognized text.
Values run through your rules, low-confidence reads route to review, and clean data exports to a spreadsheet or your systems by API, with an audit trail.
# invoice.pdf -> extracted data (any layout, no template) { "doc_type": "invoice", "vendor_name": "Lakeside Supply Co", "invoice_number": "INV-44821", "total_amount": "18420.55", "confidence": 0.98 } # classified, read, validated, ready for export
Teams that priced out Hyland OnBase and found the content platform, the partner rollout, and the ECM project were more than their workflow called for.
Want enterprise-grade extraction without an enterprise sales cycle, a deployed content platform, or the IT resources to run one.
Want a dashboard to process documents and review results without an implementation project or capture configuration to maintain.
Receive mixed stacks of invoices, statements, and forms and want classification to sort them automatically before extraction.
Want self-serve per-page pricing they can forecast, instead of a custom enterprise license quoted per customer.
Run an older OnBase or Brainware setup and want extraction that reads any layout without rebuilding capture configurations.
Prefer a product they can start on their own files this week over a platform that takes a procurement and deployment cycle to stand up.
Hyland OnBase routes content into enterprise systems through a configured deployment inside its content stack. DocuOCR works the other way: you post a document to a single endpoint and get back the classified type, the recognized text, and the extracted fields with a confidence score on every value, on any layout, with nothing to deploy or template, and the review, validation, and export steps already exist in the product, so you can use the API alone or the dashboard, whichever fits. There is no infrastructure to stand up and no implementation to schedule before you call it.
# classify + extract in one request curl https://api.docuocr.com/v1/extract \ -H "Authorization: Bearer $KEY" \ -F "file=@scanned_document.pdf" \ -F "classify=true" # -> doc type + named fields + confidence
Hyland does not publish pricing for OnBase. It is custom-quoted and licensed per customer, with both perpetual and subscription models, so the number depends on a sales conversation and is hard to forecast up front. Check Hyland for a current quote. DocuOCR is priced per page with classification, review, validation, and export already in the product, no enterprise quote to negotiate and no platform to deploy before you can start, so you pay for the pages you actually process. Start free to check accuracy on your own documents, then pay per page as your volume grows, with lower committed rates for high volume.
The questions teams ask most when they compare Hyland OnBase and its Brainware capture engine with a focused, ready-to-use document data extraction product.
The best alternative to Hyland OnBase depends on whether you need a deployed enterprise content platform or a product you can run the same day. OnBase is a mature content services (ECM) suite with capture, workflow, and records management, rolled out as a configured implementation, often through a partner. If what you actually need is accurate document data extraction, not a full content platform, a focused, ready-to-use product fits better. DocuOCR classifies a mixed file, reads any layout, extracts the fields you define, validates them, routes low-confidence reads to a built-in reviewer, and exports clean data through a dashboard and one REST API, with self-serve per-page pricing. You can test it on your own documents the same day, with no sales cycle or rollout.
Hyland OnBase is used by large organizations to capture, manage, and route documents and the processes around them, turning paper and files into content that flows through enterprise content management. Common use cases include accounts payable invoice processing, employee and patient records, claims, case management, and audit readiness, with intelligent capture handled by Brainware, the Hyland capture engine. OnBase classifies documents, extracts fields, validates values, and routes content into downstream systems, usually as a configured implementation. Teams that want the document data extraction without standing up a content platform tend to look at a focused, self-serve alternative.
Hyland OnBase combines document capture, workflow automation, and document and records management in one enterprise content services platform, so an organization can scan or import documents, classify and extract data from them, route them through approval and review processes, and store them with retention and security controls. The intelligent capture piece, classifying documents and extracting data with OCR, ICR, and OMR, comes from Brainware, Hyland's capture engine. It is broad by design and deployed as a configured implementation. DocuOCR covers the extraction part of that, classify, read, extract, validate, review, export, as a focused, ready-to-use product, so teams that mainly need clean structured data get it without the wider platform.
Hyland OnBase is not free. It is an enterprise content services platform that does not publish pricing; it is custom-quoted and licensed per customer, and OnBase moved to a subscription model alongside its long-standing perpetual licensing, so the all-in cost includes the license plus the implementation, which is often partner-led. Reviewers note it can be a significant investment for small and mid-sized teams. DocuOCR takes a different approach: you can process documents free to check accuracy on your own files before you commit, and instead of an enterprise contract you pay per page for what you actually process, with classification, review, validation, and export already included in the product.
Hyland does not publish pricing for OnBase. It is custom-quoted and licensed per customer, with both perpetual licensing and a subscription model available, and it is usually sold and deployed through Hyland or a partner, so the all-in number includes the license plus the implementation and integration work. Reviewers note the cost can be high for smaller organizations, which makes it hard to forecast before a sales cycle. DocuOCR keeps it self-serve and per page: one price that already includes classification, human review, validation, and export, so you pay for the pages you process and can forecast the cost from your own volume. Check Hyland for a current quote.
Hyland OnBase is a capable, mature platform, but teams cite a few common reasons they look at alternatives. It is built for large organizations, so adopting it tends to mean an enterprise sales cycle, a configured implementation that is often partner-led, and the IT resources to deploy, integrate, and maintain it as a content services platform, which is a lot for a mid-market team or a single workflow. Pricing is not published and is custom-quoted, which reviewers note can make it expensive for smaller businesses and hard to forecast. A focused, self-serve product that reads any layout, ships classification, review, and export, and prices per page removes that setup and overhead for teams that do not need a full content platform.
Hyland OnBase handles intelligent data extraction through Brainware, its intelligent capture engine, which uses pattern recognition to classify structured, semi-structured, and unstructured documents, then extracts data with OCR, ICR, and OMR, validates it against existing systems and databases, and routes exceptions to a verification screen. Like most enterprise capture engines, getting accurate extraction on specialized or variable documents involves configuration and tuning during the implementation. DocuOCR is template-free: it reads the fields you define on any layout using AI, without you building a capture configuration per format or training a model first, which is the main reason teams that want extraction without a configuration project switch.
Brainware is Hyland's intelligent capture software, the engine behind document classification and data extraction in OnBase deployments. It uses pattern recognition to sort structured, semi-structured, and unstructured documents, reads them with OCR, ICR, and OMR including printed and handwritten text, checkboxes, and barcodes, validates the extracted values against existing systems, and routes exceptions to a customizable verification screen before sharing data with downstream ERP and business systems. It is a powerful capture engine that is configured during an implementation. DocuOCR delivers the same classify-read-extract-validate result as a ready-to-use product you run the same day, with no capture configuration to build per document type.
Start with whether you actually need a deployed enterprise content platform. If you do not, look for template-free AI extraction that reads any layout without configuring a capture template per format, built-in document classification so a mixed batch sorts itself, a human review step for low-confidence values, schema-based output that returns named fields, and both a dashboard for business users and an API for developers. Prefer self-serve per-page pricing over a custom enterprise quote so cost tracks your actual usage and you can forecast it, and favor a tool you can try free on your own documents and start the same day without a sales cycle or a partner rollout. Then check the security controls, encryption, access control, audit logging, and where your data is handled, before you move production volume.
How OnBase's ECM and capture stack works, context before you compare it with DocuOCR.
The end-to-end IDP workflow that classifies, reads, extracts, and validates documents in one pipeline.
The full platform behind the comparison, with a dashboard for teams who want document data without code.
How DocuOCR reads PDFs, scans, and photos into machine-readable text before it extracts named fields.
The single REST call that returns classified type, text, and named fields for your own automation.
Comparing DocuOCR with OpenText Intelligent Capture, another enterprise capture platform, for teams weighing a deployed suite against a ready-to-use product.
Comparing DocuOCR with Kofax (Tungsten Automation), another enterprise capture platform, for teams weighing a deployed suite against a ready-to-use product.
Upload a document you would run through Hyland OnBase, watch DocuOCR classify it, read it, and return named fields with nothing to deploy, then use the dashboard or connect the API to process every document that follows on its own.
