Credits are DocLD’s usage unit. Parsing, extraction, OCR, and chat consume credits based on document size and operation type. This calculator converts your expected volume into monthly credit need and estimated cost. All plans include free credits each month.

How does document complexity affect cost?

Higher-complexity documents (e.g. scanned, multi-column, tables) may use more credits per page because they require more processing. The calculator lets you set a complexity mix to model realistic spend.

What if I exceed the free tier?

You only pay for usage above the included free credits. The calculator shows estimated monthly cost based on your sliders; check DocLD pricing for exact per-credit rates and overage.

Does this include API and dashboard usage?

Yes. Credits apply to processing done via the API or through the DocLD dashboard. The same credit system is used for parsing, extraction, OCR, and document chat.

Can I change my usage assumptions?

Yes. Use the sliders to adjust documents per month and complexity. You can also open the calculator with URL parameters to share or bookmark specific scenarios.

Document Processing Cost Calculator

Estimate your monthly costs for PDF parsing, data extraction, OCR, and document chat. Adjust token volumes below to model your usage—all plans include 1,000 free credits per month.

Estimate Your Costs

Adjust token volumes per operation to see your estimated monthly cost. All plans include 1,000 free credits per month.

Monthly Token Usage

Toggle operations and adjust token volumes to estimate your costs.

Document Parsing

Convert documents to structured text — billed by AI tokens used

162.5 cr

Input500.0K

Output100.0K

Data Extraction

Extract specific data fields — billed by AI tokens used

81.3 cr

Input250.0K

Output50.0K

Chat Messages

Ask questions about your documents — billed by AI tokens used

325 cr

Input1.0M

Output200.0K

OCR Processing

Optical character recognition — billed by vision model tokens used

Document Generation

Generate new documents from templates — billed by AI tokens used

Document Editing

Edit and modify existing documents — billed by AI tokens used

Estimated Monthly Cost

Total Credits568.8

Free Credits-568.8

Billable Credits0

You Pay$0.00/mo

Covered by free tier!

Your usage fits within the 1,000 free credits/month

Credit Breakdown

Operation	Input	Output	Credits
Document Parsing	500.0K	100.0K	162.5
Data Extraction	250.0K	50.0K	81.3
Chat Messages	1.0M	200.0K	325
Total			568.8

How credits work: Credits are based on actual AI token consumption and operation type. You pay $0.01 per credit, with 1,000 free credits included monthly.

See your estimated cost with DocLD

About this calculator

Use this calculator to plan monthly spend for document processing: parsing PDFs to text, extracting structured data, running OCR on scans, and using document chat. Adjust the sliders for document volume and complexity to see how many credits you need and the estimated cost. Free credits are included every month on all plans.

For ROI and break-even analysis, use the Document Automation ROI Calculator. For token-based sizing (e.g. RAG), use the PDF Token Size Estimator.

What uses credits

Different operations consume different amounts of credits per document or request.

Operation	Typical use
PDF parsing	Extract text and layout from PDFs; cost scales with pages and complexity.
Data extraction	Pull structured fields from documents using a schema; credits per document.
OCR	Convert scanned or image-based documents to text; higher cost for low quality or handwriting.
Document chat	RAG-style Q&A over documents; credits depend on context size and turns.

Frequently asked questions

Related calculators

Document Automation ROI Calculator — See time and cost savings from automating document work.
PDF Token Size Estimator — Estimate tokens and RAG chunk size for PDFs.

Operation

Input

Output

Credits

Document Parsing

500.0K

100.0K

162.5

Data Extraction

250.0K

50.0K

81.3

Chat Messages

1.0M

200.0K

325

Total

568.8

About this calculator

For ROI and break-even analysis, use the Document Automation ROI Calculator. For token-based sizing (e.g. RAG), use the PDF Token Size Estimator.

What uses credits

Different operations consume different amounts of credits per document or request.

Operation	Typical use
PDF parsing	Extract text and layout from PDFs; cost scales with pages and complexity.
Data extraction	Pull structured fields from documents using a schema; credits per document.
OCR	Convert scanned or image-based documents to text; higher cost for low quality or handwriting.
Document chat	RAG-style Q&A over documents; credits depend on context size and turns.