Per document vs per page, compared honestly.

Named comparisons against the document-extraction tools people actually evaluate us against — capability tables, cited pricing, and a calculator for your own workload.

txtfetch vs Unstructured.io

Open-core ETL for RAG pipelines, priced per page.

per page (pay-as-you-go)

txtfetch vs LlamaParse

Credit-metered parsing, tuned for complex PDFs.

credits (per page, tiered by fidelity)

txtfetch vs AWS Textract

AWS-native OCR and document analysis, billed per 1,000 pages.

per 1,000 pages (feature-stacked)

txtfetch vs Azure AI Document Intelligence

Microsoft's prebuilt-model document API, billed per 1,000 pages.

per 1,000 pages (tiered by model)

txtfetch vs Mindee

Subscription + credits for structured field extraction.

subscription + credits (1 credit = 1 page)

Why per-page pricing punishes long documents

The explainer — the math behind every comparison above, worked out in general.

read the explainer →

How accurate is txtfetch, really?

Pricing and capabilities are only half the picture — see the measured accuracy numbers and honest caveats.

see the benchmarks →

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