What does an AI data-extraction pipeline cost per document?
Figuring out how to estimate an AI data-extraction pipeline's cost per document is one of the first budgeting questions AI teams hit. Built for teams turning documents into structured data, this tool skips the generic rate card and gives you a working estimate you can tune to your traffic. The result reacts live as you adjust the inputs.
Start here: LLM API Cost Calculator
Results update automatically as you type.
- Input cost
- $0.00250
- Output cost
- $0.00500
- Per request
- $0.00750
- Per day
- $7.50
- Per month
- $225.00
Then: PDF Token & Cost Calculator
Results update automatically as you type.
- Estimated input tokens
- 15,000 tokens
- Input cost
- $0.0187
- Output cost
- $0.00500
- Total
- $0.0238
Why this isn't trivial
The part people underestimate: you feed the whole document in and get compact JSON out, so input tokens per document dominate the cost. In practice the biggest savings come from extracting only relevant pages and using a smaller model for simple layouts, so it is worth modelling before you commit.
How it's calculated
We estimate this by converting document length to input tokens, adding the structured output, and applying model rates per document. Every figure uses the current provider prices baked into the site (reviewed daily), and you can override any input to match your own assumptions.
Frequently asked questions
Is extraction input or output heavy?+
Input heavy — the document is large; the extracted fields are small.
Can a cheap model extract reliably?+
For simple, well-structured docs, yes; complex layouts may need a stronger model.
Are these prices up to date?+
Yes. The model prices behind this calculator are refreshed and reviewed daily, so your estimate reflects current provider rates rather than a stale snapshot.
Related
Estimates for planning. Pricing data last reviewed 28 July 2026.