Reads PDFs and images
Native or scanned contracts, photos taken from the mobile app.
OCR & extraction
Contract OCR: from an unreadable PDF to a usable record
OCR (optical character recognition) turns a scan or an image-only PDF into text. With contracts, the challenge goes further: extracting the fields the business actually needs. DocPilot combines OCR and AI extraction (DocpilotAI), then asks you to confirm before launching the workflow.
When the contract is just an image
A regional branch that scans, a handwritten signature photographed, a flattened PDF: without OCR and extraction, someone has to retype everything — and errors creep into the deadlines.
- Time-consuming, error-prone manual data entry
- No way to search scanned content
- Critical fields (notice period, amount) overlooked
- Delays before approval can even start
OCR + AI, then human review
DocPilot reads the document, suggests a record with a confidence score, and waits for your confirmation. People stay in control of the data; automation removes the repetitive work. Only then does the approval workflow start.
Learn more about how DocPilot works or read the documentation.
What extraction brings
Business fields
Document type, supplier / parties, amount, end date, notice period — depending on what can be detected.
Confidence score
Quickly spot the fields to double-check before confirming the record.
Hand-off to the workflow
No confirmed record, no false sense of “already handled”.
OCR use cases
Scans from a branch
The paper document becomes a record in the central workspace, with no re-keying at head office.
Photo of a quote or amendment
Mobile capture on site, extraction, then approval by the right department.
Image-only PDF supplier contracts
Speeds up handling by procurement without waiting for a “text” version from the supplier.
More real-world scenarios on the DocPilot blog.
Benefits
- Drastically less re-keying
- Data available sooner to prioritise
- Better quality thanks to human confirmation
- Future search on documents that used to be “dead images”
FAQ
Frequently asked questions
Is OCR enough to manage a contract?
OCR gives you the text. AI extraction structures the fields. Human review and the workflow do the rest. DocPilot chains all three.
What happens if the extraction is wrong?
You correct the record before confirming it. The confidence score helps you target doubtful areas. Nothing is pushed into approval on unconfirmed data.
Which formats are supported?
PDFs and common image formats from uploads, e-mail or mobile photos. The details evolve with the product; the trial lets you test on your real documents.
Is the data used to train third-party models?
Processing is carried out to provide the service to your organisation. For details of sub-processors and purposes, see the privacy policy.
Solutions by team
Pages built around each team’s priorities.
- Legal teamsCentralize NDAs, contracts and amendments, extract key clauses, approve through workflows and archive with full history. DocPilot for legal teams.
- AdministrationCentralize mail, meeting minutes, Kbis extracts, certificates and cross-functional documents: e-mail capture, OCR, filing, workflows and search. DocPilot for administration teams.
- Human resourcesCentralize employment contracts, payslips, ID documents and certificates: OCR, HR approval, role-based access and search. DocPilot for human resources.
Practical guides
Step-by-step methods to make real progress.
- Automate processingA guide to automating document processing: capture, OCR, classification, approval. Method, mistakes to avoid and DocPilot.
- Automate approvalsA guide to automating contract approval: roles, steps, SLAs and notifications. Method, mistakes to avoid and implementation with DocPilot.
- Manage contractsA practical guide to managing business contracts: central repository, approvals, deadlines and archiving. Method, steps, mistakes to avoid and a checklist.
Related articles
DocPilot blog posts on the same topic.
- AI extraction of dates and amounts: reliable data without re-keyingExtract dates, amounts and parties from a document with AI: cut re-keying, check the critical fields and complete business records faster.
- Document OCR: how does it work?Understanding document OCR: from scan to usable text, limits, input quality and how it connects with information extraction.
- Automatic document classification: benefits and safeguardsHow automatic document classification speeds up document typing in business, with human confirmation and operational safeguards.
Further reading
Related pages to refine your research.
- Document OCRTurn PDFs, scans and photos into structured data. DocPilot combines OCR and AI extraction to pre-fill your records — with human confirmation before approval.
- AI for documentsDocument AI in the enterprise: classification, extraction, questions, semantic search — with human review. DocPilot guide, FAQ, glossary and topic cluster.
- Data extractionThe process of turning a document’s content into reusable structured fields (dates, amounts, parties, references).
- Manual processingDownload, rename, file, re-key, chase: manual handling slows your teams down. DocPilot chains OCR, extraction, filing and workflow, with human confirmation.
Solutions by team · Practical guides · DocPilot blog · Free resources
Take action
Test OCR on your own contracts
Upload a PDF or a photo to DocPilot and see the suggested record — free trial or demo.