Landing AI Pricing: ADE Credits and Cost

Landing AI charges $0.01 per credit for Agentic Document Extraction, so $1 buys 100 credits on both the pay-as-you-go Explore plan and the Team plan. New accounts get 1,000 free credits, Team plans start at $250 a month for 25,000 credits, and Enterprise is quoted. What a page costs is variable: Gen2 parsing bills per page plus per 1,000 characters returned.

That last point is why "how much does Landing AI cost" has no single number. The credit price is fixed. The credits a document consumes depend on the parsing model, the service tier, and how much text comes back. Below is the full rate card from LandingAI's own pricing page and documentation, converted into dollars per 1,000 documents, which LandingAI itself does not publish. The dollar conversions are our arithmetic and are labeled as such.

How much does Landing AI cost?

Landing AI Agentic Document Extraction (ADE) has three plans. Prices are in US dollars and are the same in the US and EU regions.

The documentation also refers to larger Team tiers, using 55,000 and 110,000 credits a month as upgrade examples, with prices shown in the app. ADE can be bought through AWS Marketplace as well.

How does Landing AI credit pricing work?

Every Parse and Extract call is billed in credits, and total cost is credits consumed times $0.01. In Gen2, which runs on the DPT-3 models, a Parse call costs a per-page component plus a per-character component for the Markdown returned. Extract costs a component for the input characters you send plus one for the JSON characters returned. Totals round up to the nearest 0.1 credit.

There are two service tiers. Priority is used for synchronous calls and for the Visual Playground, where a person is waiting. Standard runs asynchronous jobs and consumes half the credits. LandingAI's own launch post says moving from the Playground to API jobs on Standard cuts credit usage in half.

DPT-3 Pro handles scanned and handwritten pages and complex layouts. DPT-3 Verity is aimed at digitally created documents and charges roughly 40% of what Pro charges, according to LandingAI. For comparison, Gen1 parsing was a flat 3 credits per page, or $0.03, and code written for Gen1 does not work with the Gen2 API without migration.

What does Landing AI cost per page?

A typical business document costs about 3 credits, or $0.03, on the Standard tier with DPT-3 Pro, based on the medians LandingAI publishes: 1.5 credits to parse and 1.5 to extract. On the Priority tier the same document costs about $0.06. Sparse, digitally created pages parsed with Verity can cost under a cent.

Because the price moves with the content, the useful way to budget is per 1,000 documents under stated assumptions. Here are five scenarios. The first four use LandingAI's own published medians. The receipt rows assume a short receipt that returns 1,000 characters of Markdown and 300 characters of extracted JSON; those assumptions are ours.

The Priority rows assume the extract call also runs on Priority, which doubles both steps. The rounding rule matters on small documents: each call rounds up to the next 0.1 credit, so a parse that computes to 0.75 credits bills as 0.8. Multi-page invoices scale roughly with page count and density, which is why LandingAI's own utility bill sample cost more per page than its certificates.

Is Landing AI free?

Landing AI is not free, but every new account starts on the Explore plan with 1,000 free credits and no credit card required. Those free credits expire 90 days after the account is created. At the published Standard-tier medians, 1,000 credits covers roughly 330 typical business documents, or about 380 invoices, before you need to buy more.

Credits you buy on pay-as-you-go expire one year from purchase. Credits included in a Team subscription are allocated at the start of each billing cycle and expire at the end of it, so an unused month does not roll forward. The exception is an upgrade: unused credits transfer into the new cycle.

What do 2,500 documents a month cost on Landing AI?

At LandingAI's invoice sample medians on the Standard tier, 2,500 single-page invoices consume about 6,500 credits, or $65. On Priority the same batch is about $130. Either figure fits Explore pay-as-you-go comfortably, well below the $250 Team minimum. You move to Team for unlimited users, zero data retention, a HIPAA BAA or the higher rate limits, not for a better per-credit price, because Team credits cost the same $0.01.

Two honest caveats. First, on clean digital receipts parsed with Verity on the Standard tier, Landing AI can undercut a flat subscription on raw extraction cost. Second, the Landing AI figure is only the API bill. You still write the extraction schema, run asynchronous jobs to get the Standard rate, check that subtotal plus tax equals the total, and move the data into Excel or QuickBooks. If what you need is the finished spreadsheet, a receipt OCR API or the upload tool at the top of this page returns prebuilt vendor, date, tax, total and line item fields with no schema to maintain.

Does Landing AI charge sales tax?

No. LandingAI's billing documentation says it does not collect or remit sales tax, VAT or GST on Agentic Document Extraction invoices, which are issued by a US entity. If your state taxes digital services, your business is responsible for assessing and paying it. Billing runs through Stripe, and Team plans are charged at the start of each cycle.

What are the Landing AI rate limits?

Rate limits are set per organization and per service tier. On the Explore plan, Parse allows 100 pages per minute on Priority and 6,000 pages per hour on Standard, and Team plans get higher limits. A single synchronous request can be up to 50 MiB, and async jobs accept PDFs up to 1 GiB and 6,000 pages. Exceeding a limit returns HTTP 429.

Landing AI vs LlamaParse, Reducto and Mistral OCR pricing

The newer document APIs all bill differently, which makes list prices hard to compare. Converted to dollars per 1,000 single-page documents, they line up like this.

The detail behind each row is in our LlamaParse pricing breakdown, our Reducto pricing review and our Mistral OCR API pricing page. One trap when reading third-party summaries: "$1 buys 100 credits" and the Explore plan name are Landing AI terms, and they sometimes get attached to LlamaParse, whose credits cost eight times less each. Always compare cost per page. For the older cloud meters from AWS, Google and Azure in the same format, see OCR API pricing.

When Landing AI is worth paying for

Landing AI is a strong buy for engineering teams processing varied, hard documents where traceability matters: word-level grounding with Verity, line-level grounding with Pro, and confidence scores that let a reviewer see exactly where each value came from. Insurance, healthcare and financial services teams that need a BAA, zero data retention or a VPC deployment get those on Team and Enterprise without extra credit charges.

It is a weaker fit when the job is a bookkeeping workflow rather than a document platform. Not every financial file needs a parser at all: if a client hands you Quicken downloads instead of PDFs, you can convert the QIF file to QBO for QuickBooks directly and spend no extraction credits. And when the documents really are paper receipts and vendor invoices headed for a spreadsheet, a finished tool with an invoice OCR API and a review screen usually costs less in total than an API bill plus the code around it. Upload a few of your own receipts with the tool above and compare the output before you commit to either.