PDFjet vs Nanonets
Nanonets is an AI document-automation platform with strong table OCR. PDFjet is a developer-first API for clean, RAG-ready data with zero retention.
Nanonets is a broad AI document-automation platform: table OCR from scans and PDFs to Excel, JSON extraction, and workflow automation, with plenty of no-code integrations. For teams that want an automation platform with ML extraction, it's popular and capable.
PDFjet is a developer-first extraction API rather than a workflow platform: one call returns clean Markdown, CSV, JSON, editable Word or a searchable PDF with heading-aware RAG chunks and per-element provenance, on simple per-page pricing with zero data retention. Note that some Nanonets specifics below are marked from limited public documentation.
Nanonets vs PDFjet, feature by feature
| Capability | PDFjet | Nanonets |
|---|---|---|
| PDF → CSV / Excel (tables) | ||
| PDF → Markdown (RAG-ready) | Partial | |
| PDF → structured JSON | ||
| PDF → editable Word (.docx) | ||
| OCR of scans / searchable PDF | Partial | |
| AI / vision-model extraction | ||
| RAG chunking (heading-aware) | Partial | |
| Per-element bbox provenance | Partial | |
| Schema-guided field extraction | ||
| Convert files → PDF | ||
| Merge / split / encrypt | ||
| Files never stored | Partial |
Comparison reflects each vendor's public documentation as of July 2026. Capabilities change — check the source links below before relying on a specific detail.
When Nanonets may fit better
- •You want an end-to-end document-automation platform with workflows and no-code integrations, not just an extraction endpoint.
- •You need strong table OCR that turns scans and PDFs directly into Excel.
- •Per third-party sources, Nanonets offers on-premise deployment for teams that need it.
When PDFjet is the better call
- •You want a clean developer API with RAG-ready Markdown, heading-aware chunks and per-element provenance.
- •You value transparent, published per-page pricing and a clearly stated zero-retention policy (Nanonets' default retention window and training-data stance aren't publicly documented).
- •You want CSV, editable Word or a searchable PDF directly, plus convert/merge/split/encrypt and an MCP server.
- •You'd rather integrate a simple endpoint than adopt a broader automation platform.
Try PDFjet in one call
Point your PDF at one endpoint and pick the output — CSV, Markdown, JSON, editable Word, or a searchable PDF. No SDK required.
curl -X POST https://pdfjet.dev/extract/md \
-H "Authorization: Bearer pj_live_..." \
-F [email protected]FAQ
Is PDFjet a good alternative to Nanonets?
Yes if you want a focused developer API for clean, RAG-ready extraction with transparent pricing and zero retention, rather than a full document-automation platform. Nanonets fits better when you want workflows, no-code automation and its table-OCR-to-Excel pipeline.
What does PDFjet do that Nanonets doesn't clearly document?
PDFjet publishes per-page pricing and a zero-retention policy, and returns RAG-ready Markdown, heading-aware chunks and per-element provenance, plus convert/merge/split/encrypt. Some equivalent Nanonets details (default retention, training-data use, Markdown/RAG output) aren't clearly stated in its public docs.
Does Nanonets store or train on my documents?
Nanonets' policy allows deletion of your data on request, but its default retention window and whether it trains on document content aren't clearly documented publicly. PDFjet processes in memory and stores nothing.
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Sources: nanonets.com/document-parsing-and-extraction·nanonets.com/ocr-api/table-ocr·security.nanonets.com/data-retention-policy