How dataPdf Compares
See how dataPdf stacks up against other PDF data extraction tools. We make it simple to get accurate data from your PDFs.
Why dataPdf?
Simple to use
Upload, review, export. No setup needed.
Review before export
See and edit extractions before downloading.
Transparent pricing
Simple monthly plans. No surprise credits.
OCR included
Scanned documents handled at no extra cost.
Free tier
Try it out before committing. 5 docs free.
Self-hosting option
Keep your data on your own servers.
How We Compare
Smallpdf
Popular PDF tool with basic extraction features.
Pros
- Simple, familiar interface
- Good for occasional PDF tasks
Cons
- Limited extraction accuracy
- No way to review or edit extractions
- No JSON export
DocParser
Template-based extraction with integrations.
Pros
- Strong webhook integrations
- Good for high-volume, consistent formats
Cons
- Requires template setup per document type
- OCR is a paid add-on
- No free tier
- Credit-based pricing can add up
Nanonets
AI-powered extraction with machine learning.
Pros
- AI accuracy improves over time
- Good for large document volumes
Cons
- Requires model training and setup
- Complex for simple use cases
- Enterprise pricing
- Credit-based pricing
AWS Textract
AWS OCR service for developers.
Pros
- High accuracy on clear documents
- Scalable for large volumes
Cons
- Requires developer integration
- No review or editing interface
- Complex pricing structure
- No human-in-the-loop