How Much Does Landing AI Cost Per Page? (2026 Pricing)

Last updated July 2026.

Landing AI's Agentic Document Extraction costs between $5 and $30 per 1,000 pages for parsing, billed in credits at $0.01 each. The newer v2 parse is 0.5 to 1 credit per page ($5 per 1,000 pages async, $10 real-time), the original DPT-2 parse is 3 credits ($30), and the lighter DPT-2 mini is 1.5 credits ($15). Classify is 0.5 credits ($5), and extraction is billed by character rather than by page. Every account starts with 1,000 free credits, but they expire 90 days after signup. Against plain cloud OCR at $1.50 per 1,000 pages, even the cheapest Landing AI tier is roughly three times more, because you are paying for an agentic vision-language pass, not cheaper OCR.

How much does Landing AI cost per page?

Landing AI prices everything in credits, and each credit is $0.01, so $1 buys 100 credits. To get a per-page price, multiply the credits an operation spends by $0.01. To get the price per 1,000 pages, multiply by $10. Here is every published operation converted to dollars.

The full breakdown, including the v2 output-character add-on and the zero-data-retention rules, lives on the Landing AI pricing reference. The short version: the v2 parse is the cheap way in at $5 to $10 per 1,000 pages, and the older DPT-2 parse costs three times as much.

How do Landing AI credits work?

You buy credits, and every API call spends a set number based on the operation, the page count, and, on the v2 parse, how much text the page returns. Credits cost $0.01 each on the pay-as-you-go Explore plan, where $1 buys 100 credits. The Team plan is $250 a month for 25,000 credits at the same $0.01 rate. Parsing spends 0.5 to 3 credits per page, classification 0.5, and extraction is metered by input and output characters instead of pages.

Is Landing AI ADE v2 cheaper than DPT-2?

Yes, and by a lot. The v2 real-time parse is 1 credit per page, which is $10 per 1,000 pages, against DPT-2 at 3 credits ($30). That is a three-times cut on the same synchronous call. The v2 async standard job goes further, to 0.5 credits per page, or $5 per 1,000 pages, a six-times cut. At $5, the v2 async parse is the cheapest agentic parse published, undercutting LlamaParse Agentic at $12.50 and Reducto agentic at $30 to $60 per 1,000 pages.

There is one honest caveat. The v2 parse adds a small output-character charge that DPT-2's flat per-page parse did not have: 0.5 credits per 1,000 output characters on the real-time job. A text-dense page that returns 4,000 characters of markdown adds 2 credits, which doubles the $0.01 page cost to $0.02. So the real v2 per-page cost tracks how much text your documents emit. Sparse forms stay near the headline; dense reports cost a little more.

Why is the real Landing AI parse cost higher than 0.5 credits per page?

Because 0.5 credits per page is the Classify endpoint, not parsing. The figure people repeat online, credits equal pages times 0.5, is document classification, which is $5 per 1,000 pages. A real DPT-2 document parse is 3 credits per page, which is $30 per 1,000 pages, six times the classify number. Even the cheap v2 async parse at 0.5 credits is a different operation than classify, though the numbers happen to line up. If you budget a parsing job on the classify rate, you will underprice most of it. This is the same shape as Google Document AI's prebuilt invoice parser, where the widely quoted rate hides a billing unit that multiplies the real cost.

Does Landing AI charge extra for zero data retention?

It depends on the model. On the original DPT-2 parse, zero data retention adds 1 credit per page, which is $10 per 1,000 pages, a 33 percent surcharge on the $30 parse rate. On the newer v2 parse, zero data retention consumes no additional credits and is free. If your compliance team requires that documents are not retained after processing, the v2 generation removed a real cost, which is worth checking before you pick a model.

Is Landing AI free?

Landing AI gives every new account 1,000 free credits, but they expire 90 days after you create the account and do not renew. At the v2 async parse rate of 0.5 credits per page, 1,000 credits covers roughly 2,000 pages before they lapse. That is different from LlamaParse, which renews 10,000 credits every single month, and Reducto, which grants 15,000 credits once. For a small, steady workload, LlamaParse is effectively free where Landing AI is not, so budget Landing AI as paid for anything ongoing.

Is Landing AI worth the price over cloud OCR?

Landing AI is not competing with AWS Textract, Azure AI Document Intelligence or Google Document AI on price. Those three all charge $1.50 per 1,000 pages for plain OCR, while Landing AI v2 parse is $5 to $10 and DPT-2 parse is $30. What the premium buys is an agentic pass that reads layout, rebuilds tables, captions figures, and grounds each extracted element back to its position on the page for auditability. If your documents are clean, single-column printed pages, cloud OCR does the job for a fraction of the cost. If they are dense financial statements or forms with nested tables, the reasoning pass is what you are paying for. The cleaner the markdown a parser returns, the easier the output is to reuse downstream, whether you are feeding a search index or turning a dense report into a shareable deck.

How does Landing AI pricing compare to a managed product?

Landing AI is an API you wire into your own pipeline, then review and correct the output yourself. A managed product such as DocuOCR bundles classification, extraction, validation, human review and export, billed per page at roughly $14 to $20 per 1,000 pages, so a business or operations team can run it the same day without building an application around a parser. Landing AI can be cheaper per parse on the v2 async job, but you own the surrounding workflow. The right choice depends on whether you want an extraction API or a finished product. For the full side-by-side of the agentic parsers, see Landing AI vs Reducto and the agentic document extraction pricing comparison.

Rates read from the Landing AI pricing page and credit-consumption documentation on July 19, 2026. Credit prices and tiers change, so re-verify before quoting.