DOCUMENT OCR FOR YOUR WORKFLOW
Document OCR for fintech onboarding
Extract customer document fields into a controlled onboarding flow. IdScanly supplies structured OCR output that can feed your existing review and verification systems.
Fintech
Where manual entry slows you down
Asking applicants to type information that is already printed on a document creates another place for inconsistent names and dates. OCR can provide a draft, while your risk controls decide what additional evidence is necessary.
A practical workflow
Capture with permission
Capture the document after explaining the onboarding purpose and required checks.
Extract and map fields
Map extracted values to application fields and compare them with the applicant’s declared information.
Review before committing
Route uncertainty and mismatches to your existing risk and compliance review before account activation.
Integrate with your existing system
Send an authorised document image from your own backend to the IdScanly REST API. Create a scan session, upload the image and retrieve structured JSON when processing finishes. Map only the fields your application needs; keep API keys on your server and handle timeouts, incomplete fields and retries explicitly.
Read the API documentationBuild a review step into the process
Document type, country, image quality and layout affect the fields returned. Use confidence information and capture feedback to request a clearer image or send uncertain records to a person. Extracting a field is different from proving it is genuine. Keep the original value separate from any correction made by an operator.
OCR supports data entry. It does not independently provide document authentication, face matching, liveness detection or a complete AML/KYC service.
Keep the data flow proportionate
Collect only what the workflow requires and explain the purpose before upload. IdScanly processes documents without building an archive; temporary processing and result retrieval can involve files and records. The marketing/admin CRM receives identity and activity metadata, never document images or OCR fields. Your own application remains responsible for its storage, retention and user permissions.
Evaluate with your own document mix
Test representative countries, document versions, front/back views and realistic capture conditions. Measure field-level accuracy and review rates against checked references before connecting the output to a live business decision. Share your expected monthly image volume and planned launch date so integration requirements can be discussed.
Questions before integration
Does IdScanly complete KYC or AML checks?
No. OCR is one data-input component. Document authenticity, sanctions screening, identity proofing, liveness and regulatory approval require separate capabilities and controls.
Build a review step into the process
Document type, country, image quality and layout affect the fields returned. Use confidence information and capture feedback to request a clearer image or send uncertain records to a person. Extracting a field is different from proving it is genuine. Keep the original value separate from any correction made by an operator.
Fintech
Discuss this integration
Test representative countries, document versions, front/back views and realistic capture conditions. Measure field-level accuracy and review rates against checked references before connecting the output to a live business decision. Share your expected monthly image volume and planned launch date so integration requirements can be discussed.