ABBYY Vantage
Low-code IDP built on pre-trained skills for 150+ use cases. Runs in ABBYY's cloud or on premises through Docker and Kubernetes. Review trains the skills.
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Document AI (IDP)
intelligent document processing software that uses machine learning to classify documents and extract their fields as structured data
Who they are and what they are good at
Intelligent document processing platforms read documents into structured data, with queues for doubtful fields.
Rossum
Built for transactional documents like invoices, sales orders, and certificates of analysis. Starter begins at $18,000 a year; Business adds master data matching and ERP integration.
Azure Document Intelligence
Prebuilt models for invoices, receipts, and statements, plus custom template and neural models. Also runs in disconnected containers.
Google Document AI
A Custom Extractor with generative, custom, and template approaches, plus specialized parsers. Confidence thresholds route fields to manual review.
At tens of thousands of pages in stable layouts, they are the cheapest way to read.
Where document AI stops for messy back-office work
Extraction returns fields. The decision still has to happen somewhere.
The ERP step
Finding the inspection lot in SAP, recording results, and posting the usage decision needs an integration or a person.
Supplier portals
Certificates behind a supplier login never reach the IDP without someone fetching them.
Business rules
Checking that every required characteristic is present and within limits, with unit conversion, is custom logic or your code.
Sixty layouts
Trained models love stable forms. Sixty suppliers send sixty of them.
LaunchAI reads the certificate on screen into typed fields, then applies spec limits as exact rules, records results in SAP, and sends any out-of-spec lot to review. See Product →.
Side by side
| ABBYY Vantage | Rossum | Azure Document Intelligence | Google Document AI | LaunchAI | |
|---|---|---|---|---|---|
| Output | Structured fields | A validated record | JSON fields | JSON fields | A finished transaction plus evidence |
| Who builds | Business users, IDP specialists | Operations teams | Developers | Developers | The process owner |
| Supplier portals behind a login | No | No | No | No | Yes, in the user's session |
| Business rules | As configured | Custom logic on Business | Your code | Your code | Rules and Tables, exact decimals |
| ERP posting | Through an integration | SAP, Coupa, Workday, Oracle on Business | Your integration | Your integration | Through the ERP screen, or an API |
| Volume sweet spot | Tens of thousands of stable pages | Same | Same | Same | Dozens to hundreds where each needs a decision |
| Cost unit | Quote | Annual contract | Per 1,000 pages | Per 1,000 pages or per document | License |
When to choose document AI
A distributor receives 25,000 certificates a month in a dozen stable layouts, and its quality system already accepts an import.
Invoice capture into an AP system that already imports.
Digitizing a scanned archive into searchable text.
Fixed government forms read at volume.
When to choose LaunchAI
- A resin compounder's 60 suppliers send 60 layouts, and each lot needs an accept or block decision in SAP.
- Spec tables belong to supplier quality and change when a customer revises a specification.
- Every value should trace from the certificate pixel to the SAP field.
Better together
If an IDP already extracts your certificates, keep it. Have it write one file per certificate to a watched folder. LaunchAI reads each file and starts at the SAP step, skipping its own reading. The IDP's queue handles extraction doubts; LaunchAI's review step handles business decisions, so each person sees one kind of question.
FAQ
Do we still need document AI if LaunchAI can read documents?
Only at volume. Past tens of thousands of stable pages a month, a trained model is cheaper per page.
Can a document talk an agent into approving it?
LaunchAI is designed against it. Document text is treated as data, and acceptance comes from a deterministic comparison, not the model.
What does LaunchAI send to a model when it reads a certificate?
Only the region being read, to the model account you configure. The comparison and decision make no model call.
We built on Azure Document Intelligence v3.0. Is there a deadline?
Microsoft lists v3.0 for retirement on March 30, 2029, and v2.1 on September 15, 2027.
No prompts. No babysitting. No Integrations.