DolphyFin
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DOLPHY VISION

Deconstruct document data arrays instantly.

Extract structural table fields and check modifications across PDF, JPG, and PNG files. Dolphy Vision parses bank statements, tax documents, and IDs with OCR precision.

Test API Sandbox Book Integration Call

Table Extraction Model

Scan: BankStatement_July2026.pdf

Proven Business Outcomes

Our models undergo daily fine-tuning to guarantee optimal processing clearance rates.

99.4%

OCR Field Accuracy

Extracts fields from crumpled, low-light, or skewed scans.

2.4 sec

Average Parsing Speed

Processes and outputs structural tables in seconds.

18+

Tamper Markers Tracked

Scans font anomalies, metadata structures, and layer modifications.

Pipeline Integration Flow

DolphyFin maps data payloads sequentially, validating compliance guidelines dynamically at every stage.

1

Ingest document files

Upload document scans or PDFs securely via public API endpoints.

2

Structural Layout Scan

OCR reads characters, extracts fields, and maps values into structured tables.

3

Compile Tamper Reports

Flag layer edits, modifications, PDF version mismatch, or fonts alteration.

Visual Execution Trace ● ACTIVE SANDBOX

// Ingesting validation payload...

dispatch(payload) {"status": "processing"}

check_model_confidence("deepfake_analysis") -> result: 99.8% PASS

approve_verification_session("APP-4821")

Detailed Feature Grid

Our unified backend allows you to switch checks on/off with basic API flags.

Table Field Parser

Automatically extracts transaction columns from bank statement tables.

Metadata Integrity Checks

Verifies creation dates and signature structures inside PDF files.

Multi-Language Extraction

Extracts character strings from localized documents and IDs.

Image Quality Filters

Pre-processes low-contrast or blurred documents prior to OCR runs.

Comparison Matrix

Parameter Legacy KYC Vendors DolphyFin Unified
Skewed & Crumpled Scans Fails to extract, requires manual retakes Auto-corrects skew, matches 99% font
Tamper Detections Basic image checks only 18+ metadata integrity and layer tests
Data Formatting Unformatted raw text files output Structured JSON with tables arrays

Vertical Use Cases

See how our modules operate across regulated and digital environments.

Digital Lending verification

Ingest borrower salary files and bank statement PDFs to calculate transaction volumes.

Key Metric: Parser accuracy 99.4%

Merchant Address verification

Parse business utility bills and registry certificates during KYB.

Key Metric: Verification latency 2.4s

API Specifications (JSON)

{
  "request": {
    "file_url": "https://company.com/docs/invoice.pdf",
    "document_type": "invoice"
  },
  "response": {
    "extracted_fields": {
      "invoice_number": "INV-2026-01",
      "total_amount": 14200.00
    },
    "tamper_detected": false
  }
}

Frequently Asked Questions

What file types are supported?

We support PDF, PNG, JPEG, and TIFF files up to 20MB.

How does tamper detection work?

We analyze EXIF tags, layer anomalies, PDF structure edits, and font variations.

Can it process hand-written text?

Yes, our neural layout models extract printed and clear hand-written strings.

Integrate DOLPHY VISION Today

Access sandbox endpoints instantly and test your identity checks using simulated datasets.

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