Stop typing data from documents.
An automated pipeline that reads your incoming documents and extracts the data you need. Invoices, delivery notes, forms — processed without manual effort.
Try the live demo →£2,200
Fixed. Paid in two instalments.
Delivered in 7–10 working days
Sound familiar?
Your team receives 40 supplier invoices a week in different formats. Someone opens each one, types the numbers into a spreadsheet, and moves on. It takes 3 hours. Every week.
Deliverables
What you get
Not included
What's not included
Being explicit about this builds trust. No surprises.
- Manual review or correction of extracted data
- Building a full document management system
- Integration with systems not specified in the original brief
- Ongoing model retraining as document formats change (quoted separately)
What I'll need from you
Technical requirements
You need
- A sample set of 5–10 representative documents (sent by email after briefing)
- A clear list of which fields need to be extracted from each document type
- Access to the destination system (Google Sheets, database, or similar)
Good to know
- Higher document volumes (200+/week) may affect pricing — the brief form asks
- Scanned documents with poor image quality reduce extraction accuracy
- Documents in multiple languages can be handled — confirm in the brief
Examples
Who this is for
"A Belfast solicitors' practice receives AML identity documents from every new client — passports, utility bills, bank statements. Each was opened, checked, and filed manually. ClearDoc now extracts the key fields and flags documents that need human review."
"A Lisburn accountancy firm processes 60+ supplier invoices per week from clients with varying formats. Extracting invoice date, amount, VAT, and supplier into a spreadsheet took a junior member 3 hours every week. Now it's automated."
"A Co. Tyrone manufacturer receives delivery notes from 12 different hauliers — all in different formats. Matching delivery notes to purchase orders was entirely manual. ClearDoc extracts the PO reference and delivery date from each, reducing matching time by 80%."
Common questions
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For clean, digital PDFs from consistent sources, accuracy is typically 95–99%. For scanned documents or highly varied formats, a realistic accuracy estimate is provided after reviewing your sample documents. The system flags low-confidence extractions for human review rather than silently producing wrong data.
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Modern extraction handles format variation well — it's not template-matching. But if a supplier fundamentally redesigns their invoice, a quick update may be needed. This is quoted separately and is typically straightforward.
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The brief form asks about your data sensitivity. For most documents, a cloud AI service (such as Azure Document Intelligence or Google Document AI) provides the best accuracy. For sensitive documents (identity, legal), a local processing pipeline can be built instead. The options are discussed before quoting.
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Yes — the pipeline can classify incoming documents and route them to different extraction rules. For example: supplier invoices go one place, delivery notes go another. This is within standard scope.
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PDF (digital and scanned), PNG, JPG, JPEG, and DOCX. Email attachments can be processed automatically if your email provider supports webhooks or polling.
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No. The pipeline monitors a folder, email inbox, or upload endpoint — wherever documents currently land. You don't change your existing process.
£2,200. Fixed.
Quoted within 2 business days of receiving your brief.