Solutions
Excel Tables — recognize, read, normalize
Data arrives in wildly different Excel formats — varying layouts, column names, units, nested tables. Manual copy-paste and reformatting.
The Solution
feld.ai recognizes tables in Excel files, understands their structure (headers, data rows, groupings), extracts the data, and converts it into a unified, normalized format.
How It Works
1. Ingest Excel files — Import files via upload, email or folder watcher. feld.ai processes .xlsx, .xls and .csv with any number of sheets.
2. Detect tables — AI identifies table regions in each sheet, recognises headers, data rows and groupings — even in unusual layouts.
3. Normalise data — Column names, units and formats are mapped to a uniform target schema. Variants (e.g. "pcs", "pieces", "Stk.") are automatically unified.
4. Export structured data — Normalised data is delivered as JSON, CSV or directly via API to your target system.
What sets us apart
Table Recognition
Automatically recognize tables in Excel files — even with unusual layouts
Structure Understanding
Correctly interpret headers, data rows, and groupings
Data Normalization
Convert data into a unified format — regardless of the source format
Multi-Sheet Processing
Process multiple worksheets in a single file
Related Solutions
Data Extraction from Files — Extract structured data from any document type.
Pricing Analytics — Compare price data from quotes and invoices.
Industry Solution: Manufacturing & Engineering — Process material certificates and service reports.
Frequently Asked Questions
Which table layouts are supported?
feld.ai recognises standard tables, nested tables, tables with merged cells and tables without clear headers. Pivot-like structures and landscape layouts are also processed.
Can feld.ai process multiple sheets in one file?
Yes. All sheets in an Excel file are automatically detected and individually processed. Relationships between sheets (e.g. summary + detail sheets) are taken into account.
How does data normalisation work?
You define a target schema (columns, types, units). feld.ai automatically maps source columns to your schema — even with different labels and units. Mapping rules can be customised and saved.
What are typical use cases for bordereaux?
In the insurance industry, bordereaux arrive in hundreds of different formats. feld.ai normalises these heterogeneous spreadsheets into a uniform format — regardless of the carrier or broker.
Is there an API?
Yes. A REST API enables upload, processing and retrieval of normalised data. Webhooks notify your system when processing is complete. Batch processing is also available.