Multi-bureau credit report parsing from PDFs

The API accepts credit reports from major bureaus—CIBIL, Experian, Equifax, and CRIF—in PDF format and extracts all relevant data points. This includes personal information, credit scores, account histories, and enquiry details. The parsing handles variations in report layouts across different bureaus.

Eliminates manual data entry and reduces processing time from minutes to seconds per report.

Pre-built credit metrics and score calculation

Beyond extraction, the API calculates key credit metrics such as debt-to-income ratio, credit utilization, and payment history summaries. It also provides a standardized credit score interpretation, making it easier to compare reports from different bureaus.

Delivers consistent, rule-based credit analysis that supports faster and more objective lending decisions.

RESTful API with simple JSON output

The API is designed for easy integration into existing loan origination systems (LOS) or customer relationship management (CRM) platforms. It returns structured JSON data that can be directly consumed by decision engines or stored for audit trails.

Reduces development time for integrating credit report analysis into existing tech stacks.

Data security and compliance features

The API operates with data encryption in transit and at rest. It is designed to support compliance with data protection regulations relevant to financial services, including secure handling of personally identifiable information (PII).

Minimizes compliance risk when handling sensitive credit data, which is critical for regulated financial institutions.

High accuracy data extraction with validation

The extraction engine includes validation rules that flag potential inconsistencies or missing data in the source report. This reduces the risk of downstream errors in credit decisions caused by misread data.

Increases trust in automated credit assessments by catching data quality issues early in the process.

Scalable processing for high-volume operations

The API is built on cloud infrastructure that can handle batch processing of thousands of credit reports simultaneously. This makes it suitable for enterprise-level lending operations with high application volumes.

Enables lenders to scale their credit assessment capacity without linearly increasing operational costs.

• Accuracy on standard reportsExtracts data with very high accuracy from well-formatted credit reports from major bureaus.
• Speed of integrationThe RESTful API design and clear documentation allow for quick integration into existing systems.
• Multi-bureau supportHandles reports from all major Indian credit bureaus, which is critical for the domestic market.
• Scalable infrastructureThe cloud-native architecture supports batch processing for high-volume lending operations.

• Limited to credit report dataThe tool only analyzes credit reports and does not incorporate other data sources like bank statements or income documents.
• No decision engineIt structures data but does not provide a final credit decision or recommend a loan amount.
• Custom pricing onlyThe lack of transparent, self-serve pricing makes it difficult for small teams to evaluate cost upfront.
• Professional RealityThis is a point solution for a specific step in the lending workflow; it is not a complete loan origination or underwriting platform.

Automating loan application processing

A digital lending platform integrates the API to automatically parse credit reports submitted by applicants. This reduces the loan approval cycle from days to hours, improving customer experience and conversion rates.

Standardizing credit assessment across bureaus

A credit risk team uses the API to normalize data from CIBIL, Experian, and Equifax reports into a single format. This allows them to build consistent risk models that work across all bureau data.

Building a credit health dashboard

A fintech startup uses the API to power a customer-facing dashboard that shows users their credit health metrics. The structured data from the API feeds into visualizations and personalized recommendations.

Batch portfolio review for risk monitoring

An NBFC uses the API to periodically re-assess the credit reports of its existing loan portfolio. This helps them proactively identify accounts that may be at risk of default.

Contact Digitap.ai's sales team to request API documentation and discuss your use case and expected volumes.

Set up a test environment using the provided sandbox API keys and sample credit report PDFs.

Integrate the API endpoint into your loan origination system or data pipeline, mapping the JSON output to your internal data schema.

Run a pilot with a small batch of live credit reports to validate accuracy and performance before scaling to full production.