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Engineering insights and product updates.

Latest·9 min read

IndusInd Bank Statement Parser: Extract Structured Data with AI

Parse any IndusInd Bank statement—savings, salary, or credit card—into structured JSON with AI. Handles all PDF formats, multi-page exports, and edge cases.

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·10 min

CIBIL Credit Report Parser: Build a Credit Assessment Agent

Parse CIBIL credit reports into structured JSON with AI. Build a credit assessment agent for lending, NBFC, and insurance workflows. Full TypeScript code.

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·7 min

Indian Salary Slip Parser: Build a Verification Agent with AI

Extract CTC, deductions, and net pay from any Indian salary slip as structured JSON. Build a salary verification agent for lending, KYC, and rental workflows.

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·9 min

Kotak Mahindra Bank Statement Parser: Extract Structured Data with AI

Parse any Kotak Mahindra bank statement—811, savings, salary, or current—into structured JSON with AI. Handles net banking PDFs, multi-page exports, and all format variations.

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·8 min

Batch Processing Bank Statements: A Production Guide

Process hundreds of Indian bank statements reliably in production — concurrency, retries, error handling, and progress tracking with Lekha API. Full TypeScript code.

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·8 min

CrewAI Loan Eligibility Agent: Automate with Lekha

Build a multi-agent loan eligibility pipeline using CrewAI and Lekha to parse Indian bank statements and salary slips automatically.

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·8 min

Axis Bank Statement Parser: Extract Structured JSON with AI

Parse any Axis Bank statement—savings, salary, or credit card—into structured JSON with AI. Handles all PDF formats, multi-page exports, and edge cases.

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·7 min

LangChain Financial Document Parsing: Indian Bank Statements in Python

Integrate Lekha with LangChain to parse Indian bank statements, salary slips, and CAS reports as structured JSON. Full Python code with tool use and agent examples.

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·9 min

SBI Bank Statement Parser: Extract Structured JSON with AI

Parse any State Bank of India statement—YONO, branch PDF, or credit card—into structured JSON with AI. Handles Hindi text, NEFT codes, and password-protected files.

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·8 min

ICICI Bank Statement Parser: Extract Structured Data with AI

Parse any ICICI Bank statement — savings, current, or credit card — into structured JSON with AI. Handles all formats, net banking PDFs, and multi-page exports.

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·8 min

Vercel AI SDK: Parse Indian Financial Docs in Next.js

Step-by-step guide to integrating Lekha with the Vercel AI SDK. Extract bank statements, salary slips, and CAS reports as structured JSON in your Next.js app.

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·8 min

Build a KYC Verification Agent with Lekha and Claude

Automate KYC document checks for PAN cards, Aadhaar, salary slips, and bank statements using Lekha's extraction API and Claude tool_use. Full TypeScript walkthrough.

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·5 min

DPDP-Compliant Document Extraction: Why Your AI Agent Needs India-First Data Processing

How to build AI agents that extract financial documents while staying compliant with India's Digital Personal Data Protection Act. Zero-persistence architecture, India data residency, and on-prem deployment options.

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·8 min

Parsing HDFC Bank Statements with AI: Developer Guide

Extract structured JSON from any HDFC bank statement — savings, current, or credit card. Handles passwords, multi-page PDFs, and format changes. Full TypeScript code.

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Building a Lending Agent with India's Account Aggregator Network
·12 min

Building a Lending Agent with India's Account Aggregator Network

Build an AI lending agent that combines Account Aggregator real-time bank data with salary slip extraction to assess loan eligibility in seconds. Full TypeScript code with Claude tool_use.

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How to Give Your AI Agent the Ability to Read Indian Financial Documents
·10 min

How to Give Your AI Agent the Ability to Read Indian Financial Documents

Step-by-step tutorial: add financial document extraction to your AI agent using Claude tool_use, OpenAI function calling, LangChain, and Vercel AI SDK. Full TypeScript code examples included.

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Why Vision AI Beats Traditional OCR for Indian Financial Documents
·6 min

Why Vision AI Beats Traditional OCR for Indian Financial Documents

Traditional OCR fails on Indian bank statements — mixed Hindi-English scripts, watermarks, 28+ formats. Vision AI achieves 95%+ accuracy where Tesseract drops to 76%. Here's the technical breakdown.

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