Document AI
Every invoice, form, contract and application that arrives as a PDF or a scan usually ends up retyped into an ERP field by field.
Why It Matters
Real documents are not clean templates. A scanned invoice from one supplier and a native PDF from another look nothing alike, yet both need the same fields pulled out. The extraction is built and tested on your own real document mix, not a tidy sample.
Every extracted field is shown against the exact spot in the source document, so confirming it is a glance, not a re-read. Low-confidence fields are flagged clearly, so a person's attention goes to the handful of values that actually need checking.
The same field, an invoice number or a delivery date, sits in a different place on every vendor's template. The extraction is trained to find the field by what it is, not by its fixed position, so it holds up across the layout variety your inbox actually receives.
Each extracted value carries a confidence score based on how clearly it was read from the source. High-confidence fields move straight to posting, while anything below the agreed threshold is set aside for a person, so review effort concentrates where it is actually needed.
Extracted values are checked against your existing validation rules, such as a valid vendor code or a matching purchase order, before posting. A confirmed record enters your ERP exactly as if a person had typed it, following the same checks and approvals.
Vendor invoices in any layout, with line items, taxes and totals extracted for posting.
Order documents from customers or suppliers, extracted directly into your order system.
Key dates, values and clauses pulled from contracts for tracking and compliance.
Job applications, credit applications or onboarding forms extracted into your workflow.
Bills of lading, packing lists and customs paperwork read for the fields logistics needs.
Certifications and licenses checked for validity dates and required details.
We agree exactly which fields need to be extracted from the document type.
We gather a real batch of your documents, including the messy and inconsistent ones.
We build the extraction and test its accuracy against your own document batch.
Low-confidence fields are flagged for a person before anything is posted.
Confirmed data posts directly into your ERP, following your existing validation rules.
Document processing time
Manual entry errors
Every field against its source
Only the fields that need a look
Posting into your ERP
As document volume grows
We build ERP systems, so extracted data posts correctly into the fields your system expects.
Extraction is tested on your own messy batch, not a clean sample that flatters the demo.
Every field is flagged with a confidence level, so uncertain values are checked, not guessed.
Each extracted value links back to its exact place on the document, ready to verify.
We choose the approach that fits your documents and hosting rules, with no lock-in.
It is AI that reads a document, such as an invoice, form, contract or application, and pulls out the specific fields you need, such as amounts, dates, names or clauses. Instead of a person typing each field into your system by hand, the extracted values are checked and posted directly.
PDFs, scanned images, photographs of paper documents and native digital files. Poor scan quality and inconsistent layouts across different senders are the normal case, and the extraction is built and tested to handle that variation.
Accuracy depends on document quality and how standard the layout is, and we test it against a batch of your own real documents before go-live. Fields extracted with low confidence are flagged for a person to check rather than posted automatically.
Yes, once a document is processed, the extracted fields can post directly into your ERP or accounting system, following the same validation rules your system already applies.
Yes. Each extracted field is shown next to the exact spot on the original document it came from, so a person can confirm it in seconds without re-reading the whole document.
A first workflow for one document type usually takes four to seven weeks, depending on how varied the document layouts are and how many fields need to be extracted.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical look at your document volume.
