Comparison
VisionParse vs Google Document AI
Google’s document platform, and the strongest offer here on free usage, languages and per-page text. Their data handling matches ours. Where we win is narrow and volume-dependent — above roughly 190 documents a month, and on documents longer than ten pages.
Google Cloud · every figure below comes from their own documentation, linked and dated · last checked 2026-08-08
Where Google Document AI is the better choice
- 1,000 pages a month free, every month, per account — ten times our free allowance and not a trial that expires.
- More than 200 languages for text against our 161.
- $1.50 per 1,000 pages for text against our $9.50 — and our $9.50 assumes you use the whole 2,000-page allowance. At 500 pages a month ours is effectively $38 per 1,000.
- Documents in online requests are never written to disk at all; ours are stored and deleted within the hour.
- Custom processors you can train on your own documents; we offer fixed schemas only.
- Google Cloud scale and compliance programmes we cannot match.
Where we are
- One credit covers a document up to 25 pages. Google’s $0.10 covers ten, so a 25-page invoice costs $0.30 there against one credit here.
- Cheaper per document above roughly 190 a month: our credits work out at $0.040–$0.059 depending on plan, against a flat $0.10.
- One price instead of a separate rate for every processor — text, form parsing, custom extraction, layout and splitting are each billed differently.
- No Google Cloud project, billing account or SDK — an API key and one POST.
- Free tools anyone can use in a browser with no account at all.
- A published benchmark with our own failures in it; Google publishes no comparable accuracy data.
Side by side
| VisionParse | Google Document AI | |
|---|---|---|
| Text extraction price | $19/month for 2,000 pages — $9.50 per 1,000 | $1.50 per 1,000 pages (Enterprise Document OCR), falling to $0.60 above 5 million. Every tier is counted per month, per account, so the lower rate resets each month. The first 1,000 pages each month are freeEnterprise Document OCR Processor: 0 count to 1,000 count $0.00 (Free) / 1,000 count, per 1 month / account. 1,000 count to 5,000,000 count $1.50 / 1,000 count, per 1 month / account. 5,000,000 count and above $0.60 / 1,000 count, per 1 month / account.source, checked 2026-08-08 |
| Structured field extraction | 1 AI credit a document; 250 included on the $19 plan | $0.10 per 10 pages for the invoice and expense parsers — an 11-page document costs $0.20, a 91-page one costs $1. Form Parser and custom extractors are $30 per 1,000 pages; Layout Parser $10Invoice parser* $0.10 / 1 count. Expense parser (formerly receipt parser)* $0.10 / 1 count. * 1 count equals up to 10 pages in a document. To parse a document with between 1 to 10 pages costs $0.10. To parse a document with between 11 to 20 pages costs $0.20.source, checked 2026-08-08 |
| Free tier | 100 pages a month with an account; 5 conversions a day with none | 1,000 pages a month of Enterprise Document OCR, every month, per account — a standing volume tier rather than a time-limited trial0 count to 1,000 count $0.00 (Free) / 1,000 count, per 1 month / account.source, checked 2026-08-08 |
| Languages | 161 recognition languages, counted on the production host | More than 200 for text. Handwriting is supported on a named subset, and twelve of the sixty listed languages are excluded from itThis processor allows you to identify and extract text, including handwritten text, from documents in more than 200 languages.source, checked 2026-08-08 |
| Where it runs | Hosted API, documents processed in Frankfurt, Germany | Google Cloud in the US or EU multi-region, plus six single-region locations with LIMITED support — Mumbai, Singapore, Sydney, London, Frankfurt and Montréal, where Layout Parser and generative custom extraction are unavailableDocument AI provides limited support for the following single-region locations: asia-south1 (Mumbai), asia-southeast1 (Singapore), australia-southeast1 (Sydney), europe-west2 (London), europe-west3 (Frankfurt), northamerica-northeast1 (Montréal).source, checked 2026-08-08 |
| What happens to your documents | Uploads deleted within the hour on every plan; never used to train models | Never used to train Google’s models. Online requests are processed in memory and not written to disk; batch documents are deleted after processing with a one-day failsafeNo. Google does not use any of your content (such as documents and predictions) for any purpose except to provide you with the Document AI service. At Google Cloud, we never use customer data to train our Document AI models.source, checked 2026-08-08 |
What this page does not claim
We have never run a document through Google Document AI, so there is no accuracy comparison here and no chart showing us winning. Our own figures are measured and reproducible — the method is on the benchmark, including the cases where our default engine gets things wrong. Google Document AI's figures are theirs, quoted from their documentation with the date we read it.
Most comparison pages of this kind include an accuracy table. Ours cannot, honestly, so it does not.
Try it on your own documentSee pricing
Also compared: TesseractAWS Textract