PDFjet vs Google Document AI
Google Document AI is a deep processor family with a strong no-training privacy stance. PDFjet gives you clean, RAG-ready output in one call — no processor wrangling.
Google Document AI is genuinely strong: a broad processor portfolio (OCR, Form Parser, Layout Parser with chunking, prebuilt invoice/receipt/ID, custom extractors), bounding boxes, a built-in summarizer, and one of the clearest privacy stances anywhere — documents are processed ephemerally and, per Google's terms, never used to train its models.
PDFjet competes on simplicity and output shape: one hosted call returns clean Markdown, CSV, JSON, editable Word or a searchable PDF, plus heading-aware chunks — with per-page pricing and no processor selection, GCP project setup, or JSON post-processing. Where Google's privacy is a genuine strength, PDFjet still goes one step further and stores nothing at all.
Google Document AI vs PDFjet, feature by feature
| Capability | PDFjet | Google Document AI |
|---|---|---|
| PDF → CSV (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 | ||
| Schema-guided / prebuilt 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 Google Document AI may fit better
- •You're on Google Cloud and want the broadest processor portfolio, including a built-in summarizer and Layout Parser chunking.
- •Privacy is paramount and you value Google's explicit guarantee never to train on your documents, with ephemeral in-memory processing.
- •You need prebuilt invoice/receipt/ID/bank-statement processors or custom extractors trained and hosted in GCP.
When PDFjet is the better call
- •You want Markdown, CSV, editable Word or a searchable PDF directly — Document AI is JSON-only and you rebuild those yourself.
- •You'd rather make one API call than pick processors, configure a GCP project, and parse the Document object.
- •You want predictable per-page pricing without stacking OCR + Form Parser ($30/1,000) + Summarizer, and no GCP lock-in.
- •You want convert/merge/split/encrypt and an MCP server, and zero retention (PDFjet stores nothing; Google deletes quickly but keeps a short failsafe window).
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 Google Document AI?
Yes if you want Markdown/CSV/Word output and RAG chunks in one simple call, predictable per-page pricing, and no GCP setup or lock-in. Google Document AI is excellent when you're on Google Cloud, need its broad processor portfolio, or want its explicit no-training privacy guarantee.
What does PDFjet do that Google Document AI doesn't?
Direct CSV, Markdown, editable Word and searchable-PDF output, file-to-PDF conversion, merge/split/encrypt, an MCP server, and a single call instead of selecting and configuring processors. Document AI returns JSON only.
Does Google Document AI train on my documents?
No — per Google's terms it never uses customer documents to train Document AI models, and documents are processed ephemerally (in memory for online requests, with a short failsafe deletion window for batch). PDFjet also never trains on your data and stores nothing.
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Sources: cloud.google.com/document-ai/pricing·cloud.google.com/document-ai/docs/security·cloud.google.com/document-ai/docs/handle-response