Landing AI Pricing 2026: ADE Cost Per Page, Agentic Document Extraction API Pricing and Credits

Last updated August 2026. Every credit rate below comes from LandingAI's own pricing page and the ADE credit-consumption documentation, checked on 15 August 2026. Rates change, so confirm with LandingAI before you commit budget.

Landing AI pricing in one paragraph

Landing AI sells credits and a credit costs exactly one cent, so $1 buys 100 credits on both the Explore and Team plans, in the US and EU regions alike. The Agentic Document Extraction v2 Parse API bills 1 credit per page plus 0.5 credits for every 1,000 characters it returns, on the priority tier. The standard tier, which runs on asynchronous jobs only, is exactly half that. For a page of invoice markdown around 2,000 characters, parsing costs about $0.02 on priority and $0.01 on standard, so roughly $20 or $10 per 1,000 pages. Typed field extraction is billed on characters instead of pages and usually costs more.

Landing AI plans and what they include

Run the arithmetic on the Team plan and something stands out. Twenty five thousand credits at one cent each is exactly $250, which is exactly what the plan costs. There is no volume discount at all. The $250 buys unlimited seats, higher rate limits, zero data retention and the option of a BAA. It does not buy a cheaper page. That matters when you model growth, because the cost line rises in a straight line from your first document to your millionth.

ADE v2 credit rates, exactly as published

Two rules apply on top. Every credit total is rounded up to the nearest 0.1 credit, which is noise at volume but visible on single test calls. And zero data retention on ADE v2 consumes no additional credits, which was not true of the older API.

LandingAI publishes a useful baseline: a typical business document uses a median of 1.5 credits on the standard tier. Work backwards through the standard Parse formula and 1.5 credits implies a single page returning roughly 4,000 characters. Their own worked example agrees: a 12 page document billing 36.1 credits on priority implies about 48,000 characters of output, or 4,010 per page. Invoices are lighter than that, because an invoice page is mostly a header block and a table rather than paragraphs of prose.

What Landing AI parsing costs per 1,000 pages

Because Parse charges for output length, the honest answer depends on how much text your pages produce. The table below applies the published formula across a realistic range. Invoice pages usually land between 1,000 and 3,000 characters.

The standard tier is the single biggest lever on this page. It is exactly half price for identical output, and the only thing you give up is a synchronous response. If your invoices arrive by email overnight and get processed in a batch, there is no reason to pay priority rates. If a user is waiting on a screen for the result, you have no choice. That one architectural decision is worth fifty percent of the bill.

What Landing AI extraction costs, and why the schema drives the bill

Parsing returns markdown. It does not return an invoice number, a vendor name, a due date or a totals column as typed fields. For that you call Extract, and Extract is priced on characters in and characters out rather than pages. The asymmetry is the part people miss: on the priority tier, output characters cost five times what input characters cost, at 1 credit per 500 out against 1 credit per 2,500 in.

The practical consequence is that the same invoice page costs wildly different amounts depending on how much JSON you ask for. Here is the same document under three schemas.

Read that top to bottom. The document never changed. The page count never changed. The bill went up four times because the schema asked for line items. Anyone budgeting Landing AI from a page count alone will be wrong, and wrong in the expensive direction, because line-item capture is exactly what accounts payable teams need. If you only ever pull the header block, Extract is cheap. If you pull the table, model it properly before you sign anything.

ADE v1 versus ADE v2 pricing

LandingAI maintains two credit-consumption tables, one for each generation of the API, and the differences are not uniform. Parsing got cheaper. Priority extraction got dearer.

Three things follow. First, v1 charged a flat 3 credits to parse a page regardless of content, so a sparse invoice subsidised a dense contract. Second, a regulated workload got much cheaper: v1 charged 4 credits per page with zero data retention turned on, while the same page on v2 standard costs around 1 credit, a cut of roughly seventy percent. Third, and least obvious, ADE v2's standard Extract rate is character for character identical to ADE v1's Extract rate, while v2's priority Extract is exactly double it. Extraction did not get cheaper. It got a faster tier that costs twice as much, and the old price survives as the async option.

How Landing AI compares with other invoice extraction pricing

The figures below are per 1,000 invoice pages for structured field output, each verified from the vendor's own documentation during 2026. Prices move, so treat this as a shape rather than a quote.

Landing AI sits at the premium end for invoice work, and it is fair to say why that can still be the right call. ADE returns visual grounding, so every extracted value carries a bounding box back to the pixel it came from. For an audit trail, a human review queue, or a regulated process where somebody has to prove where a number came from, that is worth real money. Complex table handling and split classification are genuinely strong. What you are not buying is a cheaper invoice page than Textract or Azure, both of which return invoice fields natively at $10 per 1,000 with no schema work at all.

How to work out your own Landing AI bill

Take a real month of documents rather than an estimate. Count pages, not files, because a three page invoice bills three times on Parse. Run twenty representative documents through the API and read the credit consumption off the response rather than guessing at character counts, since that is the only number that settles the question. Decide next whether the workload tolerates asynchronous jobs, because standard tier halves everything. Then decide how large your extraction schema needs to be, since on priority every 500 characters of JSON costs a full credit. Multiply total credits by $0.01, compare against the 25,000 credits in the Team plan, and remember that anything past the allowance bills at the same one cent rate.

Add engineering time to whatever number you get. Defining and maintaining an extraction schema, handling low-confidence fields, and building a review path for the ones the model gets wrong are usually a larger annual cost than the credits themselves at anything under a few hundred thousand pages a year.

Questions people ask about Landing AI pricing

How much does Landing AI cost?

Landing AI costs one cent per credit, with $1 buying 100 credits. The Team plan is $250 a month for 25,000 credits and pay as you go is available on the Explore plan. In practice a typical invoice page costs about 1 to 2 credits to parse, so $10 to $20 per 1,000 pages, and more if you also call Extract for typed fields.

Is Landing AI free?

Not beyond a trial allowance. The Explore plan starts you with 1,000 free credits, worth $10, which covers roughly 800 to 1,100 invoice pages of standard-tier parsing. After that every API call and Playground run consumes paid credits at one cent each. There is no permanently free tier for production volume.

What is agentic document extraction?

Agentic document extraction, shortened to ADE, is LandingAI's document processing API. Rather than returning raw OCR text, it parses the page into structured output with intelligent chunking, complex table extraction and visual grounding, so each value maps back to its location on the page. It also handles field extraction against a schema, split classification and multilingual documents.

Is agentic document extraction free?

No. ADE is metered in credits on every call, including runs in the Playground. You get 1,000 free credits when you sign up for the Explore plan, and after that parsing bills from 0.5 credits per page on the standard tier. The API itself is a paid commercial service, not an open-source library you can self-host.

How many credits does Landing AI use per page?

ADE v2 Parse uses 1 credit per page on the priority tier plus 0.5 credits per 1,000 characters of output, and half of that on the standard tier. LandingAI's published baseline is that a typical business document consumes a median of 1.5 credits on standard. The older ADE v1 API charged a flat 3 credits per page instead.

What is the difference between ADE v1 and ADE v2 pricing?

Parsing got cheaper and zero data retention became free. ADE v1 billed a flat 3 credits per page plus 1 more per page for ZDR, while v2 bills 1 credit per page on priority, 0.5 on standard, and nothing extra for ZDR. Extraction is the exception: v2's standard rate matches v1 exactly, and v2 priority is double it.

Is Landing AI cheaper than AWS Textract for invoices?

No, not for structured invoice data. Textract AnalyzeExpense costs $10.00 per 1,000 pages and returns invoice fields natively with no schema to write. Landing AI parsing lands around $10 to $20 per 1,000 pages before extraction, and Extract with line items pushes the total to roughly $20 on standard or $40 on priority.

What are the Landing AI alternatives?

For general document parsing, LlamaParse and the OCR APIs from Mistral and Google are the closest substitutes. For invoices specifically, AWS Textract AnalyzeExpense and Azure Document Intelligence both return invoice fields natively at $10 per 1,000 pages. If you want a finished application rather than an API, a flat monthly plan removes per-page metering entirely.