Advanced PDF Data Extraction

Job ID: 39519641

Budget: $250 – $750 USD

**Project Title:**
Advanced PDF Data Extraction from Structured/Unstructured Documents

**Project Description:**
• Extract 50+ key parameters (text, tables, figures) from mixed PDFs (scanned + digital)
• Handle sensitive financial/legal documents with 99%+ accuracy
• Deliver structured data in Excel/CSV with field-level validation
• Optimize workflow for 500+ pages/day throughput

**Technical Requirements:**
✓ Python (PyPDF2, pdfplumber, Camelot)
✓ OCR experience (Tesseract, Adobe SDK)
✓ Data cleaning/transformation expertise
✓ Quality control protocols

**Success Metrics:**
• 99.5% field extraction accuracy
• 48-hour turnaround for sample batch
• Error log with confidence scoring

**Security Needs:**
• NDA required
• On-premise processing option

**Budget Range:**
$900-$1,500 (flexible for exceptional solutions)

**Why This Matters:**
"This data powers critical financial reporting - precision is non-negotiable. We need a partner who understands both the technical and compliance aspects."
Related categories: Python Data Entry Excel Software Architecture OCR