DOCUMENT OCR FOR YOUR WORKFLOW
Identity document OCR for property rental
Support prospective-tenant administration with structured identity fields. IdScanly helps prepare the identity portion of a rental file without turning document extraction into tenant screening.
Property rental
Where manual entry slows you down
Property teams often copy the same name and document details between enquiries, draft leases and administration tools. A controlled OCR step can support data entry while limiting the information collected at each stage.
A practical workflow
Capture with permission
Explain why identity data is required at this particular stage of the application.
Extract and map fields
Populate a draft applicant or lease record with only the necessary supported fields.
Review before committing
Review the document-to-record match and remove unneeded fields before finalising the file.
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 OCR assess a tenant’s credit or suitability?
No. It extracts printed information. Income checks, references, credit assessment, eligibility and lawful tenant-selection decisions are outside the OCR service.
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.
Property rental
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.