Use cases
Same transaction, different needs.
A feed in an app, a review step in accounting, a spending overview or your own reports: each product needs something different from the same raw data. TXNORA provides a shared layer for all of them, with merchant, category, labels and confidence.
Audiences
Where structured context helps.
- 02
Accounting platforms
Add merchant and category context before transactions enter a review workflow.
REWE SAGT DANKE 1834becomesCategoryGroceries
- 03
Expense tools
Bring more consistency to spending categories and review queues.
PAYPAL *ADOBEbecomesLabelsSOFTWARE · DIGITAL_SERVICE
- 04
Analytics products
Work with structured transaction data in your own reporting experience.
AMZN MKTP DE*X4H88291becomesMerchantAmazon
Shared foundation
What they have in common.
All four audiences work with the same output fields. What differs is which field matters most.
Raw
REWE SAGT DANKE 1834
Structured
Merchant: REWE
Confidence99.1%
Category: Groceries
- GROCERIES
- RETAIL
Example: category shown as display name, with confidence as a percentage.
merchant.name
Merchant
A recognizable merchant name instead of an inconsistent raw description.
category.id · category.name
Category
One consistent category from a fixed structure, with an ID and a display name.
labels
Labels
Context beyond a single category, such as software, retail or mobility.
confidence
Confidence
Model confidence for each result, so your product can decide what needs review. It is not a measure of accuracy.
More applications
Same platform, different data.
Transactions are our focus. The same platform also handles product data, documents, tickets and datasets, with GDPR-compliant processing on LLM endpoints hosted locally or in the EU.
E-commerce
Categorize product data automatically, matched to your own category structure.
- Categorization
CRM
Label contacts and notes, for example by topic, request or industry.
- Labeling
Document management
Classify documents and extract the relevant details from them.
- Data Classification
- Information Extraction
Marketplaces
Structure listings and enrich them with consistent attributes.
- Data Intelligence
Research
Annotate datasets in a structured way, even at large volumes.
- Data Annotation
Legal
Extract clauses and key details from contracts and other documents.
- Information Extraction
Customer support
Classify tickets by topic or request, for example for routing.
- Data Classification
Data platforms
Analyze, structure and enrich the data you already have.
- Data Intelligence
Your own data models and processes?
With Custom Endpoints, TXNORA processes your data according to your prompts, rules and data structures, including large data volumes.
Which use case fits your product?
Send us a short request: you receive free trial access to the API, the developer documentation and our pricing – and test TXNORA with your own product.