HTPBE PDF Tamper Detection API

Startup Launched Recently

The Story

I built HTPBE to solve the problem of undetected document tampering, which costs businesses thousands in bad debt and fraud. Our API detects edited bank statements, fake payslips, and forged invoices, providing a critical layer of security for lending and compliance teams.

AI Overview

AI-generated

Fraudulent documents pose a significant risk to businesses, particularly in lending and compliance. The HTPBE PDF Tamper Detection API is designed to mitigate this risk by detecting edited bank statements, fake payslips, and forged invoices that often evade manual review and KYC platforms. The API is geared towards lending and compliance teams who need an additional layer of security to verify the authenticity of documents.

What stands out about the HTPBE API is its ability to check the file structure and metadata, rather than just the document content. This allows it to catch edits that are invisible to visual review and template checks, providing a more comprehensive tamper detection solution. The API performs 58 forensic checks across metadata, file structure, and digital signatures, delivering results in under 3 seconds.

The API's capabilities make it a valuable tool for various critical document workflows, including bank statement fraud detection, invoice fraud detection, and certificate and diploma fraud detection. It is designed to work alongside existing KYC stacks, such as Plaid, Persona, and Alloy, providing a structural layer of security that they may not cover.

The HTPBE API is priced from $15 per month, with the ability to process 30 to 1,500+ documents per month. The API is available via REST, with documentation provided for easy integration. There is no requirement for signup to try the API, and files are deleted after analysis, ensuring a seamless and secure testing experience. Overall, the HTPBE PDF Tamper Detection API offers a robust solution for businesses to prevent document tampering and associated financial losses.

Key Features

File Structure Check

checks the file structure for tampering

Metadata Analysis

performs forensic checks on metadata

Digital Signature Verification

verifies digital signatures

Comprehensive Tamper Detection

performs 58 forensic checks

Fast Processing

delivers results in under 3 seconds

Use Cases

1

Lending Teams

need additional security to verify document authenticity
2

Compliance Teams

require robust tamper detection for critical documents
3

Bank Statement Verification

detects edited bank statements
4

Invoice Fraud Detection

identifies fake or forged invoices

FAQ

How does the HTPBE API detect document tampering? ▾

The API checks file structure and metadata, and performs 58 forensic checks.

Is the HTPBE API compatible with existing KYC platforms? ▾

Yes, it is designed to work alongside existing KYC stacks like Plaid, Persona, and Alloy.

What happens to my files after analysis? ▾

Files are deleted after analysis.

Pricing

Paid $15/mo

Can process 30 to 1,500+ documents per month

Tech Stack & Tags

#pdf tamper detection #document fraud #lending security #compliance #api security

Discussion

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HTPBE PDF Tamper Detection API

The Story

AI Overview

Key Features

Use Cases

FAQ

Pricing

Tech Stack & Tags

Discussion

Meet the Founder

More in Security software

HTPBE PDF Tamper Detection API

The Story

AI Overview

Key Features

Use Cases

FAQ

Pricing

Tech Stack & Tags

Discussion

Meet the Founder

More in Security software

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