AI-Powered Lending Document OCR

Document processing
built for Indian lending.

Your credit officer spent 5 hours on that LAP file. Bank passbook images, handwritten NOCs, property papers in Marathi. TrustHQ reads all of it and delivers a CAM in <2 minutes.

Request a Demo See how it works ↓
90%TAT reduction
<2 min CAMfrom upload to output
20+languages
Livewith HFCs in India
Upload & classify
Extract & trace
CAM ready
8 docs · auto-classified
Ramesh Sharma — LAP · Proprietorship
RS
property_reg_scan.jpg
Field scan · Hindi · Handwritten
Property Papers
bank_stmt_site_photo.jpg
PD photo · Marathi · Scanned
Bank Statement
vikray_patra_2024.jpg
Vikray Patra · Hindi · Handwritten
Sale Deed
PD
PD_officer_notes.txt
Field interview · income assessment
PD Transcript
ITR
ITR_FY24_sharma.pdf
Scanned · AY 2023-24
ITR
KYC
aadhaar_pan_photocopy.pdf
Photocopy · slightly skewed
KYC Docs
NOC
society_noc_handwritten.jpg
Handwritten · Hindi · Stamped
Society NOC
GST
GST_returns_FY24.pdf
Scanned · AY 2023-24
GST Returns
8 docs classifiedScanned · handwritten · Hindi + Marathi · No MCA data — proprietorship
Trusted by lenders across India
Housing Finance Companies NBFC-MFIs DSA Networks Cooperative Banks
✓ 12,000+ loan files processed
The problem

Informal lending is hard.
Manual processing makes it worse.

For proprietorships and partnership firms, there is no MCA registry, no audited books, no standard document set. Every income claim has to be corroborated from scratch across documents in different formats, languages, and quality.

0%
of MSME loan files
have at least one handwritten document
0 hrs
average manual TAT
for a proprietor LAP file
0+
languages
across a typical NBFC Tier-2 portfolio
Zero
MCA entries
for proprietorships and partnerships
HindiMarathiTeluguGujaratiKannadaTamilBengaliOdia+ 12 more
Scanned and handwritten documents

PD officers click photos on-site. Blurry, skewed, low-contrast. Standard OCR fails silently and the officer re-enters everything manually.

Regional languages at scale

Property registrations in Hindi, Marathi, Telugu, Gujarati. Bank statements in regional script. One deal, four languages — standard OCR handles none correctly.

No government-verifiable data

No MCA filings for proprietorships. Every income claim corroborated from ITR, bank statements, and PD notes — all different formats, all manual.

TAT blows out on every file

Every LAP or small business loan file takes hours. Manual re-entry, chasing officers, rebuilding the income picture. TrustHQ brings it under 2 minutes.

Introducing TrustHQ

From raw field documents to credit-ready output.
Automatically.

01
Upload & classify

Documents sorted the moment they land.

Drop in PD photos, scanned property papers, handwritten NOCs, bank passbooks, ITRs. TrustHQ classifies every file instantly. Hindi, Marathi, any regional script.

02
Extract & trace every field

Every field traced to its source.

AI extracts every required field across all documents and tags each value back to the exact source line. Vikray Patra, ITR, bank statement — all cross-referenced. Full audit trail.

03
PD transcript reconciled

What your officer saw on the ground, in the CAM.

PD notes uploaded alongside documents. Income claims cross-referenced, discrepancies flagged, field observations incorporated — not just what's on paper.

04
CAM generated

Structured output. Ready to act on.

FOIR calculated, income reconciled, risk flags surfaced. Configured to your credit policy. Ready to review and export in under 2 minutes.

Execution Results — Ramesh Sharma · LAP
Ramesh Sharma — LAP File
Completed · 1 min 52 sec
Vikray Patra ↗ Bank Stmt ↗ ITR FY24 ↗ PD Notes ↗
Click any row to trace to source document
#FieldValueConf.Source
1 Business Vintage 14 years HIGH PD Transcript
2 ITR Total Income ₹4,80,000 HIGH ITR AY2024 p.1
3 Avg Monthly Bank Credit ₹1,84,000 HIGH Bank Stmt · 6m avg
4 Existing EMI Obligations ₹3,200 / mo HIGH Bank Stmt · debits
5 Sale Deed Consideration ₹38,000 HIGH Vikray Patra p.1
6 Net Monthly Surplus ₹15,200 HIGH Calculated
7 FOIR (pre-proposed) 14.5% HIGH Calculated
8 ITR vs Bank Credits +34% gap REVIEW Cross-referenced
ITR Total Income — traced to Schedule ITR-4
Total Income 4,80,000
Extracted from Schedule ITR-4 Part B-TI, gross total income line. Click any field above to trace.
Why TrustHQ

Not just faster. Built differently.

Most lenders already have a process. Here's how TrustHQ compares.

Manual process
Your team does it today
3–4 hours per LAP file
Officer re-enters every field manually
No audit trail on extracted values
Regional language docs ignored or guessed
PD notes sit disconnected from CAM
Income variance missed — cash sales not caught
Generic OCR tool
What you may have tried
Fails on handwritten and field-clicked docs
No understanding of Indian document formats
Extracts text — doesn't build the picture
No cross-referencing across documents
Still requires manual spreading to CAM
No PD transcript integration
✓ TrustHQ
TrustHQ
Built for Indian informal lending
CAM in under 2 minutes
Reads handwritten + regional script docs
Every value traced to source line
Cross-references ITR, bank stmt, PD notes
CAM generated — no manual spreading
Income variance flagged automatically
Who it's for

Built for every team in the lending chain.

👤
DSA / Loan Agent

Drop the file after your PD visit. TrustHQ reads the scanned docs, pulls the income picture, and gives you a credit summary ready to submit — without touching a spreadsheet.

⚙️
Credit Ops Manager

One configuration runs on every deal. Same fields, same formulas, same checks — whether it's 10 files a day or 100. No manual spreading, no variation between officers.

🏛️
Lender / NBFC / HFC

Every number in your CAM traced to the exact source line. Your credit committee sees where each figure came from. Full audit trail. Configured to your credit policy.

Security

Bank-grade security. Zero data retention.

Especially relevant when documents contain Aadhaar, PAN, bank account numbers, and property registration details.

Zero data retention

Files are processed in memory and discarded immediately. Nothing is stored. Your borrower's documents never sit on a server.

Encrypted end-to-end

All data encrypted in transit and at rest. Bank-grade security standards applied throughout.

Full audit trail per file

Every extracted value traced to its source document and page. Every run logged. Your credit committee can verify any number in seconds.

FAQ

Common questions

ITRs, bank statements, Vikray Patra, property registration documents, society NOCs, GST returns, PD transcripts, KYC documents, balance sheets, and P&L statements. Any additional document type can be added to your classifier — setup is part of onboarding.
20+ languages including Hindi, Marathi, Telugu, Gujarati, Kannada, Tamil, Bengali, Odia, and more — printed and handwritten. If your borrower base operates in a regional language not listed, let us know — we can extend coverage.
Yes — this is the primary use case. TrustHQ reconciles ITR, bank statements, and PD notes to build the income picture without MCA data. Income variance between documents is automatically flagged.
Under a day for standard loan products. Send us a sample file and we configure your document classifier, extraction fields, and CAM format — same day. Custom document types or non-standard CAM formats may take a few additional days.
Zero retention policy. Files are processed in memory and discarded immediately — nothing is stored on our servers. All data encrypted in transit. No Aadhaar, PAN, or bank data is ever persisted.

See it on your file.

Start free trial.

1
Send us a sample file

Any live or recent loan file — business loan, LAP, or SBA 7(a). No prep needed on your end.

2
Activate your trial

We create classification, extraction and workflow for your use case and activate your account — same day.

3
Test on your data

You login and try the workflows on your own files with free credits available up to 7 days.

Book your demo
Request a Demo →