Doctly · FinOps Profile

Doctly Ai Finops

FinOps view of Doctly spend. Doctly bills usage as credits consumed per page of document processed, with LITE and ULTRA accuracy levels drawing credits at different rates, plus per-page or per-document extractor charges (cost_type / cost_credits). Cost scales primarily with pages processed and chosen accuracy level. Exact credit-to-dollar conversion is not publicly itemized and is not reconciled here.

Doctly Ai Finops is the FinOps profile for Doctly on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 5 billable meters, billed in USD, on a prepaid credits cycle, and pricing category usage-based.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include AI, Document Parsing, PDF, Markdown, and Data Extraction.

Category: AI and Machine Learning Pricing: Usage-Based Billing: Prepaid Credits FOCUS v1.3
AIDocument ParsingPDFMarkdownData ExtractionFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchase

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Doctly
PricingCategory
Usage-Based
ProviderName
Doctly
PublisherName
Doctly
ServiceCategory
AI and Machine Learning
ServiceName
Doctly

Meters

pages_processed_lite
Unit: pages
Pages converted to Markdown at LITE accuracy, billed in credits per page.
pages_processed_ultra
Unit: pages
Pages converted to Markdown at ULTRA accuracy (multi-pass), billed in credits per page at a higher rate.
extractor_pages
Unit: pages
Pages processed by a PER_PAGE extractor, billed at the extractor's cost_credits per page.
extractor_documents
Unit: documents
Documents processed by a PER_DOCUMENT extractor, billed at the extractor's cost_credits per document.
credits_purchased
Unit: credits
Prepaid credits purchased to fund document processing and extraction.

Sources