Automate Employee Document Sorting, Extraction and Review.
DocSort is employee document processing software for HR teams: it sorts, groups and extracts employee documents and flags exceptions for review.
Video transcript
One in six organizations worldwide has experienced identity fraud during hiring, according to HireRight's 2025 Global Benchmark Report. SmartHR DocSort by aQb Solutions flags fake, duplicate and tampered employee documents, and turns the rest into verified KYC records. Upload employee documents in bulk: identity, address and bank proofs, and other useful documents. AI reads each file, detects the document type, including Hindi and bilingual documents, and sorts it into a category. Documents are grouped into a folder for every person. With one click, AI fills the KYC form from their documents, for HR to review and submit. Select people, and export their verified details to Excel. AI verification flags duplicate identity numbers and tampered documents, for HR to review. Data is encrypted in transit and at rest, with role-based access and audit trails. Catch the fakes. Skip the typing. Onboard with confidence.
DocSort by aQb Solutions (shown in the film as SmartHR DocSort) is employee document processing and verification software for HR teams that sorts bulk uploads, groups them by person, fills the verification record and flags duplicate and suspected tampered documents for review. Sort employee documents in bulk: it classifies identity, address, bank and other useful documents, groups them into a folder per person, fills the KYC record so nothing is retyped, and flags duplicate and suspected tampered files for HR to review. HR approves the result before export. Data is encrypted in transit and at rest, with role-based access and audit trails.
Impact you can measure
Illustrative targets, to be confirmed in a pilot on your own employee documents.
Hours → MinutesTarget time to process an employee document batch
60%+Target reduction in manual HR verification effort
Compares information across documents for name, date-of-birth and identity mismatches, detects duplicate identity records against the active registry, flags bank accounts shared by multiple employees, and highlights suspected fabricated, tampered, cropped or unreadable documents for HR to review. Flags are not a confirmed authenticity check.
Bulk upload and document classification
Drop large batches of employee documents into the system, with no renaming or manual entry. AI recognises identity, address and bank documents, front and back, and other supported document types, including multilingual documents.
Person folders
The system identifies which documents belong to the same person and groups them into a single employee folder, reading names across multilingual documents so records are not duplicated or fragmented.
AI KYC form filling
AI captures visible details such as name, date of birth, address, postal code, identity numbers, bank account and bank details, and builds the structured KYC record, so HR teams do not retype anything.
Missing and wrong document checks
Identifies incomplete document packs, such as a missing document side or required document, and flags a wrong document type, before the employee record is completed.
Human review and Excel export
HR and KYC teams review AI-generated records, investigate flagged exceptions and approve the result. Reviewed records are exported as a structured, HR-ready Excel file with no manual spreadsheet building.
Key Questions Answered
01 / 05
Which countries, languages and document types are supported?
It handles identity, address, bank and other useful documents, front and back, including multilingual documents. Supported countries, document types and languages are confirmed on your own documents.
02 / 05
How does person grouping work, and can it be corrected?
The system identifies which documents belong to the same person, reading names across multilingual documents, and groups them into one employee folder. HR reviews the folders and the records before anything is approved.
03 / 05
What is the difference between duplicate detection, suspected tampering and identity verification?
Duplicate detection compares records against the active registry and flags shared identity numbers or bank accounts. Suspected-tampering flags highlight fabricated, cropped or unreadable documents for HR to investigate. Neither confirms authenticity or verifies identity against an official source.
04 / 05
What do the review and export steps look like?
Records are shown as extracted, checked or flagged. HR works through the exceptions, including incomplete packs and wrong document types, approves the result and exports a structured Excel file.
05 / 05
How is employee identity data protected?
Data is encrypted in transit and at rest, with role-based access and audit trails. Identity documents are processed for onboarding and employee verification only, with retention agreed with you, and deployments are configured to meet India's Digital Personal Data Protection Act. Flags are for HR review and do not verify identity against an official source.
How it works
01Upload
02AI Classification
03Person Grouping
04Automatic Extraction
05Record Generation
06Consistency Checks
07Risk & Exception Detection
08Human Review
09Submit / Export
Technology stack
AI Document Intelligence
Computer Vision & OCR
Multilingual Document Understanding
Identity Matching & Validation
Next.js & React
TypeScript
Node.js
ExcelJS
Use cases
01Onboarding without retyping
01High-volume employers
Onboarding without retyping
Sort bulk document uploads into one folder per person, and build a verification record that HR reviews before export.
02Hiring fraud caught early
02HR and employee verification
Hiring fraud caught early
Flag duplicate identity numbers, shared bank accounts and suspected tampered documents for HR to investigate before anyone joins.
03Clean bank details from day one
03Payroll
Clean bank details from day one
Extract bank account details from submitted documents, ready for HR to confirm, so first salaries are not delayed by entry errors.