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Effortless Document Extraction Across Any Format

DocSnap — AI Document Extractor & Intelligent Data Processing Platform

Transform physical scans, PDFs, and image uploads into clean, structured data in seconds. Designed for NGOs and businesses, DocSnap uses pre-built, fixed-layout, and custom AI extractors to process application forms, questionnaires, bills, and vouchers with 100% data security.

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Enterprise Security Guarantee: All uploaded files and extracted records remain protected within isolated environments and are never shared or used to train public AI models.

What is DocSnap?

DocSnap is an intelligent document processing (IDP) platform built to handle diverse document layouts across non-profit service workflows and corporate operations.

By supporting three distinct extraction models, DocSnap eliminates manual data entry regardless of how structured or unstructured your document formats are.

Flexible Extractor Models for Any Document Format

Pre-Built Extractors:

Instant Out-of-the-Box Ingestion: Plug-and-play processing for standardized business and financial documents like receipts, utility bills, vouchers, and invoices without setup.

Fixed Layout Extractor:

Precision Targeting: Tailored for standardized documents with consistent field coordinates, such as official application forms, licenses, permits, and structured surveys.

Automated Recaps, Action Items & Highlights:

Sample-Driven Training (1–3 Samples): Easily train custom extractors for unique layouts—like NGO offline client questionnaires or internal service logs—using as few as 3 sample documents with zero coding required.

Strict Security Environment:

Private Storage Isolation: Extracted personal info, beneficiary questionnaires, and confidential financial data remain securely encrypted within your organization's storage boundaries.

Built for NGOs & Corporate Businesses

  1. NGO & Social Services: Rapidly digitize offline survey questionnaires, paper intake forms, and volunteer application forms to accelerate case routing and funding reporting.

  2. Commercial Enterprise: Automate accounts payable, voucher validation, receipts, and client registration forms to reduce administrative overhead by up to 80%.

Three Extractor Engines. Any Document Format.

3 Powerful Extractor Types

Complete Coverage: Choose Pre-Built for common docs, Fixed Layout for forms, or Custom Models trained on 1–3 samples.

Impact: Seamlessly processes diverse file formats without manual layout constraints.

Forms, Bills & Questionnaires

Multi-Sector Use: Extract structured data from offline questionnaires, application forms, bills, and vouchers.

Impact: Accelerates non-profit client intake and streamlines business accounts payable workflows.

Strict Confidentiality & Security

Private Storage: All uploaded forms and beneficiary details remain isolated within your private environment.

Impact: Enterprise-grade encryption ensures documents are never used for public AI model training.

DocSnap Frequently Asked Questions

Everything you need to know about our MinutesMax.

Yes. DocSnap allows you to upload high-resolution scans or mobile photos of paper forms, offline questionnaires, bills, and vouchers. The AI automatically cleans image noise and extracts targeted text into structured data.

Use the Fixed Layout Extractor when processing forms where text always appears in identical locations (e.g., standard government licenses). Use the Custom Model Extractor when dealing with documents whose layouts vary slightly (e.g., bills from different vendors or custom questionnaires)—you can train a Custom Model using as few as 1 to 3 sample files.

Yes. All files uploaded to DocSnap are encrypted in transit and at rest. Your organizational documents remain strictly confidential within your account and are never used to train public AI models.

Our AI Products

We don't just build for clients—we ship and run our own tech. With 5 proprietary AI products actively running in production and more on the way, we know exactly what it takes to launch, scale, and maintain successful AI software.

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