Nanonets is an intelligent document processing platform. You can train models for your own document types and build workflows around them, which pays off when you have high volume of one specific, unusual format.
pdftojson skips the training step entirely. You send a PDF and get structured data back, with a developer API, a free in-browser converter, and a correctness check for financial documents.
Where pdftojson is different
Training a model is the right move when you process thousands of one identical form. For everything else it's setup you'd rather not do. pdftojson reads the document directly, so an invoice or statement from a vendor or bank you've never seen comes back as structured data with nothing to train first.
For bank statements it also reconciles the transactions against the opening and closing balances and flags any that don't add up, so you catch extraction mistakes before they reach your books.
Do I need to train a model with pdftojson?+
No. You send the PDF and get structured data back. There's no training, annotation or model setup.
When is Nanonets the better choice?+
If you have very high volume of one specific, unusual document type, training a dedicated model can lift accuracy on that format. pdftojson is aimed at getting clean structured data across varied documents without setup.
What formats does pdftojson return?+
JSON, Markdown, CSV, XML or plain text, with OCR for scans and table extraction through the API.
What does it cost?+
A flat $29/mo Developer plan with a free tier, billed per page processed.