HomeAutomated data entry from scanned documentsIdentity Registration & ManagementAutomated data entry from scanned documents

Automated data entry from scanned documents

Purpose

1.1. Automate extraction and structured entry of resident data from scanned Aadhaar enrollment/update forms to digital identity registration systems, minimizing manual intervention and human errors.
1.2. Ensure migration of printed/handwritten application data into secure digital repositories for verification, processing, and card issuance.
1.3. Support compliance with government data retention, auditing, and real-time operational reports for identity management processes.

Trigger Conditions

2.1. New scanned Aadhaar form uploaded to a local or cloud-hosted directory.
2.2. Scanned image received via integrated scanner connected to enrollment terminal.
2.3. Uploaded file detected in a predefined email inbox or document collection ERP.
2.4. Scheduled polling for files in SFTP/FTP server associated with Aadhaar center.

Platform Variants

3.1. Microsoft Power Automate
• Feature/Setting: “AI Builder: Form Processing” — configure with a trained form processing model for Aadhaar forms; connect to SharePoint or SQL for entry.
3.2. UiPath
• Feature/Setting: “Document Understanding” — use OCR engine; set ‘Digitize Document’ activity for scanned PDF/image input, ‘Extract Structured Data’ for output.
3.3. ABBYY FlexiCapture
• Feature/Setting: Capture “Document Definition” for Aadhaar, configure “Data Export” to API or DB.
3.4. Kofax TotalAgility
• Feature/Setting: Build “Capture Process” — set “Document Import Connector” and “Recognition Activity”.
3.5. Google Cloud Vision
• Function/API: POST /v1/images:annotate — configure ‘DOCUMENT_TEXT_DETECTION’ for Aadhaar form images.
3.6. Amazon Textract
• Function/API: AnalyzeDocument — configure with ‘Forms’ FeatureType for scanned Aadhaar forms.
3.7. Docparser
• Feature/Setting: Template Rule for Aadhaar, send extracted data to webhook/API.
3.8. Hypatos
• Feature/Setting: Upload scanned forms; “AI Data Extraction” models configured for Indian identity documents.
3.9. IBM Datacap
• Feature/Setting: “Application Manager” with “Ruleset” for Aadhaar fields, send to backoffice via “Export Task”
3.10. Rossum
• Feature/Setting: “Schema Editor” for Aadhaar forms; API data push to CRM/ERP endpoints.
3.11. Adobe Document Services
• Function/API: /extractpdf — set for scanned document input; configure “ExtractTextTable” config.
3.12. Ephesoft Transact
• Feature/Setting: “Batch Class” for form capture; configure extraction modules for Aadhaar fields.
3.13. Azure Form Recognizer
• Function/API: Analyze — set up a custom trained Aadhaar model.
3.14. OpenCV + Tesseract
• Function/API: Python “cv2.imread” + “pytesseract.image_to_string” for field-level data extraction; post-process in script for Aadhaar structure, export via API call.
3.15. Zapier
• Feature/Setting: “Formatter by Zapier/OCR by Zapier” — set trigger as new file in cloud storage; connect to India-specific government registration endpoint webhook.
3.16. Integromat
• Feature/Setting: “Image OCR” module for scanned form; routes data to form registration modules.
3.17. Laserfiche
• Feature/Setting: Configure “Template Fields,” use “Quick Fields” Agent for automated document ingestion.
3.18. Aluma Data Capture
• Feature/Setting: Project workflow for Aadhaar form, configure “Extract Data Fields” activity and output to designated API endpoint.
3.19. PDF.co
• Function/API: /v1/pdf/convert/to/text — setup for batch extracted text, map to Aadhaar form fields, upload result to identity management system.
3.20. Veryfi
• Function/API: POST /api/v7/partner/documents/ — input scanned forms; receive structured field JSON, auto-inject to back-office system.

Benefits

4.1. Eliminates manual data input, reducing risk of errors and omissions in enrollment.
4.2. Accelerates throughput — rapid population of digital identity fields boosts processing capacity at Aadhaar centers.
4.3. Enables real-time validation, duplicate checking, and audit trail creation for compliance and quality control.
4.4. Provides scalable solution for bulk backlogs and legacy form digitization without staff overload.
4.5. Ensures structured, secure export of data for downstream verification, analytics, and centralized identity repositories.

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