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    IntroductionCredits & PricingMCP Setup
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Getting Started

Credits & Pricing

LDX hub uses a credit-based billing system. Credits are consumed each time you process data through the API. The number of credits consumed depends on the service, model or product you choose, and the volume of data processed.


How Credits Work

One credit costs $0.0001.

Credit consumption varies by service type:

StructFlow / RefineLoop — billed per character:

Code
credits = (input_characters × input_rate + output_characters × output_rate + vector_bytes × vector_bytes_rate) / 1000

RenderOCR / CastDoc — billed per page:

Code
credits = input_pages × rate

For example, using Google Gemini 3.5 Flash (google/gemini-3.5-flash) with 10,000 input characters and 10,000 output characters:

Code
credits = (10,000 × 45 + 10,000 × 270) / 1000 = 3,150

So 10,000 input characters and 10,000 output characters consumes 3,150 credits.

Note for RefineLoop: Actual credit consumption is significantly higher than the formula above suggests. RefineLoop processes each segment multiple times (up to 6 iterations by default), and each iteration includes both source and target text. As a result, the actual input_characters charged can be several times the length of the original XLIFF content.


Model & Product Rates

StructFlow

ModelInput RateOutput RateVector Bytes Rate
azure/gpt-5.518010804
openai/gpt-5.51509003
anthropic/claude-opus-4-8150750—
anthropic/claude-opus-4-7150750—
google/gemini-3.1-pro-preview1205404
azure/gpt-5.4905404
anthropic/claude-sonnet-4-690450—
openai/gpt-5.4754503
google/gemini-3.5-flash452704
azure/gpt-5.4-mini301604
openai/gpt-5.4-mini251353
google/gemini-3-flash-preview15904
bedrock/global.amazon.nova-2-lite-v1:01590—
xai/grok-4.33875—
xai/grok-4.20-non-reasoning3875—

RefineLoop

ModelInput RateOutput RateVector Bytes Rate
azure/gpt-5.518010804
openai/gpt-5.51509003
anthropic/claude-opus-4-8150750—
anthropic/claude-opus-4-7150750—
google/gemini-3.1-pro-preview1205404
azure/gpt-5.4905404
anthropic/claude-sonnet-4-690450—
openai/gpt-5.4754503
google/gemini-3.5-flash452704
azure/gpt-5.4-mini301604
openai/gpt-5.4-mini251353
google/gemini-3-flash-preview15904
bedrock/global.amazon.nova-2-lite-v1:01590—
xai/grok-4.33875—
xai/grok-4.20-non-reasoning3875—

Rates are divided by 1,000 to calculate actual credit consumption per character.

Vector Bytes Rate applies when using external reference files. Consumption is calculated per byte of the reference file.

RenderOCR

ProductPage Rate
ki/ocr320

Rate is applied directly per page (not divided by 1,000).

CastDoc

ProductPage Rate
ki/cast320

Rate is applied directly per page (not divided by 1,000).


Capacity by Plan

Example: StructFlow with Google Gemini 3.5 Flash

The following estimates are based on Google Gemini 3.5 Flash (google/gemini-3.5-flash) with a 1:1 input/output ratio. Actual consumption varies depending on model choice, input/output ratio, and content length.

PlanCreditsInput Characters (est.)
Free25,000~79,000
Starter150,000~476,000
Standard520,000~1,650,000
Pro1,700,000~5,396,000

Example: RenderOCR with KI OCR

PlanCreditsPages (est.)
Free25,000~78
Starter150,000~468
Standard520,000~1,625
Pro1,700,000~5,312

Example: CastDoc with KI Cast

PlanCreditsPages (est.)
Free25,000~78
Starter150,000~468
Standard520,000~1,625
Pro1,700,000~5,312

Notes

  • Credits are reset monthly at the start of each billing period.
  • Unused credits do not carry over to the next period.
  • On paid plans, additional usage beyond the included credits is billed at $0.0001 per credit.
Last modified on May 28, 2026
IntroductionMCP Setup
On this page
  • How Credits Work
  • Model & Product Rates
    • StructFlow
    • RefineLoop
    • RenderOCR
    • CastDoc
  • Capacity by Plan
    • Example: StructFlow with Google Gemini 3.5 Flash
    • Example: RenderOCR with KI OCR
    • Example: CastDoc with KI Cast
  • Notes