Best Intelligent Document Processing Platforms for Business Documents (2026)
IDP platforms for business documents compared for 2026: ABBYY, Hyperscience, Rossum, UiPath, Azure, Google, AWS, ERP-native capture and ERP agents, with pricing.
Gonzalo Nuñez
Chief Technology Officer

The best intelligent document processing (IDP) platform for business documents depends on where the work stops today. If you need to read high volumes of many document types and have a team to build the rest, an enterprise IDP platform such as ABBYY Vantage, Hyperscience, Tungsten Automation (formerly Kofax), Rossum or Instabase fits; if you already run UiPath or Automation Anywhere, their document modules feed your robots; if you have developers, Azure AI Document Intelligence, Google Document AI and Amazon Textract are building blocks. If the goal is a correct sales order, receipt or cash receipt drafted in the ERP itself, look at the ERP's own capture or an ERP document agent such as Fluent.
Fluent is one of the options below; we have tried to be fair.
This guide covers documents across the business: customer purchase orders that become sales orders, packing slips that become receipts, purchase orders, remittances that become cash receipts, requests for quote and time sheets. Supplier invoices have their own guide: best AP automation for Epicor Kinetic.
Extraction and a correct ERP transaction are different jobs
Most IDP products are measured on extraction: did the software read the PO number, the ship-to address and the line quantities correctly. That is necessary, and it is about half the work. To enter a sales order, someone still has to find the customer in the ERP, pick the right ship-to, turn the customer's part numbers into yours, keep each quantity in the unit of measure the customer ordered in, check the price against the quote or price list, notice that the same PO arrived last week, and then create the order so the ERP's own validation runs.
Every other document has the same second half. A packing slip has to be matched to the purchase order line it is receiving against. A remittance has to be applied to the right open invoices for the right customer. A time sheet has to land on the right job and operation. Ask every vendor where its product stops: at structured data in a file, at a validation screen in its own tool, or at a transaction in your ERP that a person can approve. For sales orders in detail, see how to automate Epicor sales order entry.
The five approaches
Software that automates data entry from business documents into an ERP falls into five groups. Many companies combine two.
- Enterprise IDP platforms. ABBYY Vantage, Hyperscience, Tungsten Automation TotalAgility, Rossum and Instabase. They classify documents, extract fields and tables, and route uncertain fields to a person for validation. Getting the result into the ERP is a connector or an integration project.
- RPA with IDP. UiPath Document Understanding and Automation Anywhere Document Automation. Extraction feeds the vendor's software robots, which then enter the data into the ERP. You build and maintain the robots.
- Cloud AI services you build on. Azure AI Document Intelligence, Google Document AI and Amazon Textract. APIs that return extracted fields and tables, billed per page. Your developers build the matching, the review screen and the ERP write-back.
- ERP-native capture. Capture from the ERP vendor: Epicor ECM with Epicor Intelligent Data Capture (IDC), SAP Document Information Extraction behind automatic sales order creation in S/4HANA, and NetSuite Bill Capture. Closest to the ERP, and tied to that one ERP.
- ERP document agents. Fluent. An agent reads each document, resolves it against live ERP data, and drafts the transaction in the ERP screen it belongs in for a person to review.
Comparison table
| Option | Approach | Where staff work | ERP integration | Best for |
|---|---|---|---|---|
| ABBYY Vantage | Enterprise IDP with pre-trained document skills | ABBYY Vantage | Ask ABBYY | Large, varied document volumes across departments |
| Hyperscience | Enterprise IDP (Hypercell platform) with human-in-the-loop review | Hyperscience | Ask Hyperscience | High-volume back offices with handwriting and poor scans |
| Tungsten Automation TotalAgility | IDP plus low-code process orchestration and RPA | TotalAgility | Through TotalAgility workflows or Tungsten RPA | Capture and workflow on one platform |
| Rossum | Template-free IDP for transactional documents | Rossum | Named integrations with SAP, NetSuite and Coupa; ask about others | Invoices, purchase orders and logistics documents |
| Instabase | AI platform for unstructured, document-heavy work | Instabase AI Hub | Ask Instabase | Complex documents in financial services and insurance |
| UiPath Document Understanding | RPA plus IDP | UiPath validation and robots | Robots you build | Companies already running UiPath |
| Automation Anywhere Document Automation | RPA plus IDP | Automation Anywhere | Bots you build | Companies already running Automation Anywhere |
| Azure AI Document Intelligence | Cloud API, prebuilt and custom models | Your own application | You build it | Developer teams on Microsoft Azure |
| Google Document AI | Cloud API, processors and Custom Extractor | Your own application | You build it | Developer teams on Google Cloud |
| Amazon Textract | Cloud API for text, forms, tables and expenses | Your own application | You build it | Developer teams on AWS |
| ERP-native capture (Epicor ECM with IDC, SAP, NetSuite) | The ERP vendor's own capture | The ERP vendor's tools | Built in, for that one ERP | Companies that want one vendor |
| Fluent | ERP document agents | The ERP screen (Order Entry, Receipt Entry, Cash Receipts Entry and others) | Drafts the transaction through the ERP's API; deepest on Epicor Kinetic | Correct ERP transactions across order to cash, procure to pay and shop floor |
"Ask" means we could not confirm the answer from the vendor's public positioning. Check with each vendor for your ERP and version.
IDP platforms compared with each other
If the documents you need to read never reach an ERP, such as claims, contracts, onboarding forms or shipping documents kept for reference, the choice is between the IDP platforms themselves. This table compares them on deployment, published pricing and what each reads without training.
| Platform | Deployment | Pricing, as published | Reads without training | Who builds the workflow |
|---|---|---|---|---|
| ABBYY Vantage | Cloud, or on premises in containers | Annual subscription by page volume; quote | Pre-trained skills for invoices, receipts, purchase orders, delivery notes and identity documents | Your automation team, in ABBYY's low-code designer |
| Hyperscience | SaaS, private cloud or on premises | Annual license by page volume; quote | Confirm with Hyperscience | Your team with Hyperscience, with human review built in |
| Tungsten TotalAgility | Public cloud on Azure, private cloud or on premises | Subscription by modules, users and volume; quote | Invoices and common business documents; confirm others with Tungsten | Usually an implementation partner |
| Rossum | Cloud | From $18,000 a year on the Starter plan, one-year minimum, sized by pages or documents | Invoices, purchase orders, delivery notes and logistics documents | Rossum's validation screen and extensions |
| Instabase AI Hub | Cloud; enterprise deployments by arrangement | Free community tier; paid plans plus usage-based consumption units | General documents, through generative models | Your team, in AI Hub |
| UiPath Document Understanding | UiPath cloud, or Automation Suite on premises | Per page in UiPath consumption units, inside a UiPath license | Invoices, receipts, purchase orders, identity documents and other prebuilt models | Your RPA developers |
| Automation Anywhere Document Automation | Automation Anywhere cloud; confirm on premises | Free Community Edition up to 100 pages a month; enterprise by quote | Invoices and other prebuilt models, plus generative extraction | Your RPA developers |
| Azure AI Document Intelligence | Azure API, or containers | $1.50 per 1,000 pages to read text, $10 for prebuilt models, $30 for custom extraction; 500 pages a month free | Invoices, receipts, identity documents, US tax forms and contracts | Your developers |
| Google Document AI | Google Cloud API | $1.50 per 1,000 pages for OCR, $30 for Form Parser and Custom Extractor | Invoices, expenses, identity documents, pay slips and bank statements | Your developers |
| Amazon Textract | AWS API | $1.50 per 1,000 pages to read text, $15 for tables, $50 for forms, $10 for invoices and receipts | Invoices and receipts, identity documents and lending documents | Your developers |
Prices are each vendor's published list prices as of October 2026, at the first volume tier, in US dollars; all three cloud APIs cost less per page at higher volumes. Where a vendor quotes, the table says so.
Page prices are the smaller part of the cost for business documents that end up in an ERP. The cloud APIs return fields and tables; the review screen, the matching against your customers, vendors and parts, and the write-back into the system that uses the data are yours to build and run. Enterprise platforms include review but leave the matching and the ERP integration as a project. Fluent is priced around the finished ERP transaction instead: paid plans start at $600 a month in usage credits, with unlimited users.
Evaluation criteria
Seven questions separate these options faster than any feature list.
1. Where does the product stop?
Extracted fields, a validated record in the vendor's own tool, or a draft transaction in your ERP. Everything between that point and a posted sales order, receipt or cash receipt is work your team or a partner still owns.
2. How does it match to your master data?
Ask how it finds the customer or vendor when the name on the document differs from the ERP, how it turns a customer's or supplier's part number into yours, how it chooses the ship-to, and whether it reads live ERP data or a nightly copy. Ask about units of measure: a quantity ordered in cases must stay in cases, with the ERP doing the conversion.
3. What happens when something does not match?
Exceptions are most of the job. A good answer shows the reviewer what was searched, what was found and what differs, on the line. A weak answer is a confidence score on a field and an empty box.
4. How many document types and cycles does it cover?
A sales order desk, a receiving dock and a cash application team have different documents and different ERP screens. Ask which are ready today and which are a project: quotes, sales orders, shipments, purchase orders, packing slips, remittances, time sheets, material issues.
5. Who builds and maintains it?
Templates per customer or vendor, labelled training samples, robots, field mappings and custom code all need an owner after go-live. Ask what happens when a new customer sends a PO in a format the system has not seen, and who does that work.
6. What goes into your ERP environment?
Ask whether the product writes through the ERP's own API, so the ERP's validation runs, or through import files, staging tables, robots driving the screens, or customizations. Each of those is something your ERP administrator maintains through upgrades.
7. How is it priced?
Per page, per document, per robot, per user, a platform subscription, or usage credits. For build-it-yourself options, add the cost of the people who build and run it.
Best for, option by option
ABBYY Vantage. Best for large, varied document volumes where an automation team wants pre-trained document skills and a low-code designer for the rest. ABBYY lists purchase orders, delivery notes and packing lists among its pre-trained document types. Plan the ERP integration as its own piece of work.
Hyperscience. Best for high-volume back offices with hard documents: handwriting, poor scans, long forms. Its Hypercell platform pairs its own models with human-in-the-loop controls, and Gartner has named it a Leader for intelligent document processing. It is built for scale across many processes more than for one ERP's screens.
Tungsten Automation (formerly Kofax). TotalAgility combines document capture with low-code process orchestration, case management and Tungsten RPA. Best for organizations that want capture and workflow on one platform, usually with an implementation partner.
Rossum. Best for transactional documents such as invoices, purchase orders and bills of lading, with a template-free model and a review interface. Rossum names integrations with SAP, NetSuite and Coupa; ask about yours.
Instabase. Best for complex, unstructured, document-heavy processes in industries such as financial services and insurance, where documents need to be analysed as well as extracted.
UiPath Document Understanding. Best when you already run UiPath. Extracted data flows into UiPath robots, agents and orchestration, so the robot that enters the sales order can use it directly. The robots are yours to build and keep working through ERP upgrades.
Automation Anywhere Document Automation. The same logic for Automation Anywhere customers: document extraction integrated with its bots.
Azure AI Document Intelligence. Best for development teams on Microsoft Azure. Prebuilt models cover invoices, receipts and identity documents; custom and composed models cover your own document types. Matching, review and ERP write-back are yours to build.
Google Document AI. Best for teams on Google Cloud. Specialized processors, plus a Custom Extractor built on Google's generative models for document types with no prebuilt processor. The same build-the-rest caveat applies.
Amazon Textract. Best for teams on AWS that want text, forms, tables and question-style queries from documents, with a dedicated analysis for invoices and receipts. The same caveat applies.
ERP-native capture. Best when one vendor matters more than breadth. On Epicor, ECM with IDC adds document management, retention and workflow, with packaged automations for AP, AR and sales order processing. On SAP S/4HANA, the automatic sales order creation app uses SAP's Document Information Extraction to create orders from uploaded customer POs. On NetSuite, Bill Capture drafts vendor bills.
Fluent. Best when the slow part is turning documents into correct ERP transactions across several departments, especially on Epicor Kinetic. Each agent reads PDFs, scans, photos, spreadsheets, email bodies, XML and EDI, matches customers, vendors, parts and units against live ERP data, and leaves a draft for a person to review.
Where Fluent fits, and where it does not
Fluent has ten agents, each named for the Epicor Kinetic screen it drafts into, grouped by business cycle:
- Order to cash: Quote Entry, Order Entry, Customer Shipment, AR Invoice Entry and Cash Receipts Entry.
- Procure to pay: PO Entry, Receipt Entry for packing slips, and AP Invoice Entry.
- Shop floor: Time Entry and Issue Material.
All ten are on products. On Epicor Kinetic, Fluent connects to the REST API from outside. Nothing is installed inside Epicor: no customization, no BPM, no staging table, no import file. Each agent generates an Epicor access scope listing the services it calls, so Epicor enforces least privilege. It works on premise or Epicor-hosted. The same agents are offered for Epicor Prophet 21, SAP Business One, SAP S/4HANA, Oracle NetSuite, Acumatica, Microsoft Dynamics 365, Infor, Sage and other ERPs; Epicor Kinetic is where Fluent is deepest.
There are no templates per customer or vendor, no field mapping and no model training. You set behavior with written instructions, and corrections become instructions. The order agent resolves the customer, ship-to, customer part numbers, units and prices, and flags duplicate POs. Units of measure stay as the document states them. If no customer or vendor matches, the document is drafted with a note of what was searched and waits for a person. Nothing posts until a person processes the draft. An approval workflow routes each document to the people who sign off on it, with thresholds such as an amount or a price variance deciding who reviews what. Every field read and every decision is recorded on the document.
On Epicor, Fluent integrates with Epicor ECM: it can replace the capture layer (IDC) and send documents to ECM workflows, so ECM keeps its role as the archive and workflow engine.
Choose something else if you need a general IDP platform for documents that never reach the ERP, such as claims, contracts or onboarding forms; if your company has standardized on one RPA platform and wants every automation inside it; or if a development team wants extraction as a building block for its own application. Fluent is not an ERP or an EDI translator, and it does not pay suppliers. It drafts quotes in Quote Entry from requests for quote and emails, answering the Epicor product configurator for configurable parts, and does not replace a CPQ.
How to choose
- You need correct transactions in the ERP, across several departments: an ERP document agent such as Fluent.
- You process many document types at high volume, including ones outside the ERP: ABBYY Vantage, Hyperscience, Tungsten Automation, Rossum or Instabase, plus an integration project.
- You already run an RPA platform: UiPath Document Understanding or Automation Anywhere Document Automation.
- You have developers and want building blocks: Azure AI Document Intelligence, Google Document AI or Amazon Textract.
- You want one ERP vendor for everything: the ERP's own capture, such as Epicor ECM with IDC.
- You run Epicor ECM and capture is the weak step: keep ECM for archive and workflow, and use Fluent in place of IDC.
Run a trial on your own documents, including the hard ones: a customer PO full of the customer's own part numbers, a partial shipment, a remittance that pays six invoices and short-pays one. Then count how many reached the ERP correctly. That number tells you more than an extraction score.
See it on your own documents
Fluent's agents are listed on products, with the connection details on Epicor integration and other systems on ERPs. Pricing is at fluenterp.com/en/pricing. To see an agent on your own sales orders, packing slips or remittances, book a demo.
Frequently Asked Questions
Intelligent document processing is software that classifies business documents and extracts their fields and tables into structured data, using OCR and machine learning or language models. Most IDP platforms also route uncertain fields to a person for validation. Matching the data to ERP records and creating the transaction is usually a separate integration step.
IDP stops at extracted, validated data. An ERP document agent such as Fluent goes on to resolve that data against live ERP records (customer or vendor, ship-to, part numbers, units of measure, open orders) and drafts the transaction in the ERP screen for a person to review. The difference is who does the matching and the write-back: your team, or the product.
Yes. Options include RPA robots fed by IDP, ERP-native apps such as SAP's automatic sales order creation in S/4HANA, and agents such as Fluent's Order Entry agent, which resolves the customer, ship-to, customer part numbers, units and prices, flags duplicate POs and drafts the order in Epicor Kinetic. Ask each vendor how it handles a customer's own part numbers and a PO format it has not seen.
It depends on the product. Some tools use templates per layout or custom models trained on labelled samples, while others use pre-trained or generative models that read new layouts without setup. Fluent uses no templates, field mapping or model training; behavior is set with written instructions, and corrections become instructions.
Common ones are customer purchase orders (sales orders), requests for quote, packing slips (receipts), purchase orders, shipping documents, remittances (cash receipts), time sheets and material issues. Fluent has an agent for each of these in Epicor Kinetic, across order to cash, procure to pay and the shop floor.
Not necessarily. Fluent integrates with Epicor ECM: it can replace the capture layer (IDC) and send documents to ECM workflows, while ECM stays the archive and workflow engine. For document entry into the ERP it removes the need for robots, and teams can keep an RPA platform for other automations.
It depends on the type. The cloud APIs publish per-page prices: as of October 2026, Azure AI Document Intelligence, Google Document AI and Amazon Textract charge $1.50 per 1,000 pages to read text and $10 to $50 per 1,000 pages to extract fields, tables or forms. Rossum starts at $18,000 a year. ABBYY, Hyperscience and Tungsten quote annual licenses by page volume. Add the cost of building review, matching and ERP write-back wherever a platform stops short of them. Fluent's paid plans start at $600 a month, as shown on the pricing page.


