Extract structured data from unstructured documents
E-mails, PDFs, letters: the AI of linqi extracts exactly the data you need from unstructured text – names, amounts, dates, addresses – and makes them available as structured values for your process.
The data extraction recognises typical details in documents and transfers them into clean, machine-processable fields. This turns unstructured incoming content into structured process values that you can use directly for further processing – for archiving, forwarding, document creation or handover to a third-party system. Instead of entering details manually, linqi captures them automatically. The extraction runs as a configurable process action in the designer, without any programming, and can be used exactly where the data should flow to next.
Typical use cases are incoming invoices, orders, applications and correspondence, where the same details have to be entered again and again. linqi takes over this entry automatically – clean, consistent and directly within the process run.
- Names, amounts, dates and addresses extracted automatically
- Result as structured process values
- Immediately usable for further processing
From unstructured documents to clean data
The data extraction recognises details such as names, amounts, dates and addresses in e-mails, PDFs and letters and transfers them into structured fields. These values are available to your further process steps directly – for example for archiving, forwarding to the responsible person or handover to connected systems.
This saves manual data entry and reduces transcription errors, because the details are taken automatically from the source document. The extraction delivers its full effect especially with recurring document types – invoices, orders, applications, correspondence – because it finds the same information reliably every time and structures it cleanly. This turns paper and scans into reliable, reusable process data.
Frequently asked questions about AI data extraction
What data does linqi extract from documents?
Data extraction captures typical details from documents such as names, amounts, dates and addresses and turns them into structured fields you can use in the process.
Can I pass extracted data directly into further steps?
Yes. The recognized values are available directly to the following process actions – for example for archiving, forwarding or handover to other systems.
Which document types are supported?
E-mails, PDFs and other unstructured documents. The AI recognizes the relevant details and makes them machine-processable.