Data Extraction Pricing: The Real Numbers

Why Extraction Pricing Is Confusing

Every platform prices differently — per page, per extraction, per field, per user, per month, or "contact us." We cut through the confusion by calculating actual monthly costs at three volume tiers.

Low Volume: 100 pages/month

• Lido — $0 (free tier covers this)
• DocuClipper — $19/mo
• Nanonets — $30/mo
• Docparser — $39/mo
• Amazon Textract — ~$0.15 + engineering costs
• Google Document AI — ~$6 + engineering costs

Mid Volume: 1,000 pages/month

• Lido — $49-149/mo
• Amazon Textract — ~$1.50 + infrastructure
• DocuClipper — $49/mo
• Nanonets — $300/mo
• Azure Document Intelligence — ~$1.50 + engineering costs
• Google Document AI — ~$60 + engineering costs

High Volume: 10,000 pages/month

• Amazon Textract — ~$15 (API only, add $15K+ for engineering)
• Lido — $299-499/mo (all-in)
• Azure Document Intelligence — ~$15 (add engineering)
• Google Document AI — ~$600 (add engineering)
• Rossum — Custom pricing, typically $2,000-5,000/mo
• ABBYY Vantage — Custom pricing, typically $3,000-8,000/mo

The Hidden Cost: Engineering Time

Cloud APIs are only cheap if engineering time is free. At typical rates, 2 engineers spending 50% of their time maintaining an extraction pipeline costs $12,000-20,000/month — dwarfing the API fees.

Platforms like Lido include the UI, workflow tools, and support in the subscription price. For most teams under 100,000 pages/month, a platform has lower total cost of ownership.