With Extend, your cost depends on what you run (e.g. Parse, Classify, Split, Extract), how you run them (e.g. Performance vs. Light modes), and your plan’s credit rate (Pay as you go, Scale, or Enterprise).

Instead of fixed fees, you only pay for the specific processors you need, at the level of performance you require.

How Credits Work

• Credits are Extend’s universal billing unit.
• Each action (parse, classify, extract, split) consumes a base amount of credits per page, with optional surcharges for advanced features.
• Your plan determines the cost per credit, and plans with higher volumes get cheaper per-page pricing.
• You stay in control with alerts, top-ups, and real-time dashboards.

🧾 Base Pricing (Performance Optimized)

🧾 Base Pricing (Cost-Optimized)

🤖 ** Parse runs automatically when Extract, Split, or Classify processors are used.

🔧 Optional Surcharges & Multipliers

The following optional features add surcharges on top of the base credit rates when enabled.

Review Agent

The Review Agent automatically flags results for quality assurance and adds a more reliable confidence score. It is available for both extraction and classification processors.

Agentic Corrections (Parsing)

When enabled, agentic correction features use a vision language model (VLM) to review and correct OCR results during parsing.

Parsing Strategy Multiplier

Race runs multiple parsing pipelines concurrently and returns the first success, doubling the base parsing credit cost.

Array Strategy Multiplier (Extraction)

Large Array Max Context does multiple passes through the entire document to maximize accuracy for complex array extraction, doubling the base extraction credit cost.

Advanced Excel Parsing

Advanced Excel parsing uses LLM-based layout detection for better table separation and header recognition in complex spreadsheets. Instead of page-based billing, it is billed per cell.

Example Scenario:

💡 Formula: base credits per page × your plan's per-credit rate = $/page (plus any applicable surcharges)

• Processing a 10-page document through a Splitting & Extraction workflow on Performance mode, would consume 70 credits in total, itemized as follows:

  • 20 credits for parsing (10 pages * 2 credits)
  • 20 credits for splitting (10 pages * 2 credits)
  • 30 credits for extraction (10 pages * 3 credits)

• If the same extraction run also has the Review Agent enabled, it would add 10 credits (10 pages * 1 credit), for a total of 80 credits.

• If the parsing step used the race pipeline strategy and had agentic text correction trigger on 5 pages and agentic table correction trigger on 3 pages, parsing would cost 48 credits (10 * 2 * 2 for race + 5 * 1 for text correction + 3 * 1 for table correction) instead of 20.

Managing Usage

• Dashboard: See credit balance & usage trends in real time.

• Alerts: Get low balance notifications and set your top-up preferences.

Customize Your Attributions

You can categorize your workflow, processor, and parser runs for better billing and usage tracking by including usage tags in your run metadata. This allows you to filter and visualize credit usage in the dashboard based on different dimensions like environment, team, or customer.

Adding Usage Tags

Include usage tags in your run metadata using the extend:usage_tags key with an array of string values:

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{
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  "extend:usage_tags": ["production", "use_case_1"]
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}

Tag Requirements

Allowed characters: Only alphanumeric characters (a-z, A-Z, 0-9), hyphens (-), and underscores (_)

Removed characters: All special characters and symbols are stripped out, including:

• Spaces
• Punctuation (!, @, #, $, %, ^, &, *, etc.)
• Quotes and brackets
• Any Unicode/emoji characters

Filtering in the Dashboard

The credits dashboard provides multiple filters to help you analyze your usage:

• Usage Tags
• Processors
• Workflows
• API Keys
• Charge Types (File Parsing, Classification, Extraction, Splitting)

You can combine multiple filters to create detailed views of your usage patterns.

Optimizing your Credit Usage

Looking for ways to improve workflow efficiency, or curious if Performance or Light mode is right for you? Book a consultation with the team here!