Reads PDFs, scans and photos
Native or image documents, including captures from the mobile app in the field.
OCR & automatic extraction
Document OCR: from unreadable files to usable data
OCR makes a scan or an image-only PDF readable. DocPilot goes further: automatic extraction of useful information (type, parties, amounts, dates), a confidence score, then human confirmation. The result: less re-keying and files ready for the workflow sooner.
DocPilot pipeline
Document → OCR → extracted data
See how DocPilot turns a file into a structured record, ready to confirm and then approve.
Visual demonstration
Document → OCR → extracted data (simulation)
Document
PDF, scan or photo
contrat_nordlog_2026.pdf
OCR
Recognised text
Text layer
Waiting to read…
Extracted data
Structured record
- Type
- Party
- Amount
- End date
- Notice period
Ready to illustrate the DocPilot pipeline.
When the document stays a dead image
Scanned invoices, photographed HR letters, flattened PDF contracts, digitised paper archives: without OCR or extraction, every file requires manual entry — slow, fragile and impossible to search.
- Critical fields re-keyed every time
- No way to search scanned content
- Delays before an approval can even start
- Errors that spread into deadlines and files
Document → OCR → extracted data
DocPilot reads the document (upload, e-mail or photo), suggests a structured record using OCR and DocpilotAI, shows a confidence score and waits for your confirmation. Only then does the approval workflow start. People stay in charge; the machine removes the repetitive work.
Learn more about the definition of OCR, how OCR works or read the documentation.
What automatic extraction brings
Pre-filled business fields
Document type, parties, amounts, dates and references — depending on what can be detected.
Confidence score
Quickly spot the areas to double-check before confirming the record.
Hand-off to the workflow
No false sense of “already handled”: approval starts after confirmation.
Document OCR use cases
Scanned archives and mail
Make digitised paper files searchable without retyping every page.
Invoices and procurement documents
Speed up handling by finance / procurement as soon as the PDF or photo arrives.
HR and administrative documents
Structure key information on arrival to route it to the right department.
Benefits
- Drastically less re-keying
- Data available sooner to prioritise and route
- Better quality thanks to human confirmation
- Future search on documents that used to be “dead images”
FAQ
Frequently asked questions
What is the difference between OCR and information extraction?
OCR turns the image into text. Extraction structures the useful fields (parties, amounts, dates). DocPilot chains the two, then asks for human confirmation.
Does OCR replace proofreading?
No. The confidence score helps you target doubtful areas. You correct the record before confirming it; nothing is pushed into approval on unconfirmed data.
Which types of documents are covered?
Contracts, invoices, quotes, amendments, letters and operational documents received as PDFs or images. The free trial lets you test on your real files.
How is this different from the contract OCR page?
Document OCR covers extraction across all document flows. Contract OCR details the specific case of contracts (parties, notice periods, contract amounts).
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.
- 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.
- Organise a DMSA guide to organising a company document management system (DMS): governance, types, access rights, workflows. A practical method, mistakes to avoid and rollout with DocPilot.
- Automate approvalsA guide to automating contract approval: roles, steps, SLAs and notifications. Method, mistakes to avoid and implementation with DocPilot.
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.
- Automatic document classification: benefits and safeguardsHow automatic document classification speeds up document typing in business, with human confirmation and operational safeguards.
- Document AI glossaryA document AI glossary: OCR, extraction, classification, confidence score, RAG, human-in-the-loop, DMS and DocpilotAI.
Further reading
Related pages to refine your research.
- AI for documentsDocument AI in the enterprise: classification, extraction, questions, semantic search — with human review. DocPilot guide, FAQ, glossary and topic cluster.
- Document automationAutomate document processing in your company: intake, OCR, AI extraction, human approval and searchable archiving with DocPilot — without losing control.
- Contract OCRUse OCR and AI to read your PDF or scanned contracts: type, parties, amounts, dates and notice periods, with human confirmation in DocPilot.
- OCRTechnology that converts a scanned document or an image into machine-readable text so it can be searched, extracted and archived.
Take action
Test extraction on your own documents
Upload a PDF or a photo to DocPilot and see the suggested record — free trial or guided demo.