Documents & drawings
Extract information from emails too.
DocsHero
HEROextractor
HEROextractor makes information from documents, drawings and emails usable in your processes. Cloud AI recognises content, extracts relevant fields and provides structured data for further processing.
HEROextractor
INVOICETECHNICAL
DRAWINGEMAILInvoice numberINV-2048
Total amountEUR 1,250.00
SupplierS-1042
HEROextractor · Intelligent data extraction
Your documents. Usable data.
Recognise information. Work with structured data. HEROextractor makes content from documents, drawings and emails usable in your processes.
Print & handwriting
Recognise content and extract relevant fields.
Structured data
For your systems and next process steps.
Turn content intoinformation.
Choose a document type and explore the process. Sample data is fictional; no files are uploaded or actually processed.
TechSolutions GmbHRosenweg 5 · 10115 Berlin
Invoice
SAMPLE LTD Industriestraße 12 80953 Munich
Invoice date: 14 March 2024
Supply of technical components
| Description | Quantity | Unit price | Amount |
|---|---|---|---|
| Sensor module | 5 | EUR 160.00 | EUR 800.00 |
| Assembly kit | 1 | EUR 250.42 | EUR 250.42 |
Net amountEUR 1,050.42
VAT 19%EUR 199.58
Payment due within 14 days.
HEROextractor
Extracted data
| Data field | Example value |
|---|---|
| Invoice number | INV-2048 |
| Total amount | EUR 1,250.00 |
| Supplier ID | S-1042 |
Select a field on the left to highlight its matching value.
Give the input a context.
Classification distinguishes document types. Recognition of print and handwriting makes content available for further processing.
Train first.Then improve with purpose.
Use the Training & Testing Suite to adapt document layouts, field inheritance and classifications to your needs. Test representative inputs and compare results before going live.
Train
Adapt customer-specific document layouts, field inheritance and classifications to your needs.
Your data.In the right context.
The Matching Suite compares extracted information with your master data via REST. Rules support the processing of specific cases.
Extracted supplier
NameBeispiel GmbH
IDS-1042
Master data
Matched supplier
NameBeispiel GmbH
IDS-1042
Rules Engine
Adapt models to specific cases with rules, without requiring a new training run for every adjustment.
Matching Suite
Match and validate extracted information against master data from third-party systems or databases via REST interfaces.
Resolve anomalies.
Continue with control.
Review results and resolve anomalies before data moves to the next process step.
Your solution in three steps.
Understand your needs
Define inputs, required fields and target systems together.
Validate with samples
Use representative documents, test rules and agree measurable quality goals.
Integrate into your workflows
Configure data transfer, validation and operations for your business processes.
Ready for yourdata mission?
Discover how HEROextractor turns your documents into usable data.
Request a HEROextractor demoMore possibilities. For tomorrow.
Which inputs does HEROextractor process?
Documents, drawings and emails. We use examples to determine the fields you need and formats suited to your use case.
When do training and rules help?
Training and testing adapt recognition and classification to your inputs. The Rules Engine adds adjustments for specific cases without retraining each time.
How is existing master data used?
The Matching Suite matches data with third-party systems and databases through REST interfaces. Data sources and checks are configured for your process.
What do we clarify before cloud deployment?
Together we discuss data types, access rights, storage and deletion requirements, and privacy arrangements. Processing and operations are tailored to your use case.
Which technical figures does HEROextractor specify?
Around 4.9 million documents: Classification foundation according to product information. Up to 500,000 document types: A broad foundation for varied inputs and use cases. 100 pages per second: Product performance figure. Actual throughput depends on documents, configuration and workload.
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