> Source: https://txtfetch.com/compare
> Plain-text twin — every page on txtfetch.com has one. https://txtfetch.com/text

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# 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](https://txtfetch.com/compare/unstructured)**

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

per page (pay-as-you-go)

**[txtfetch vs LlamaParse](https://txtfetch.com/compare/llamaparse)**

Credit-metered parsing, tuned for complex PDFs.

credits (per page, tiered by fidelity)

**[txtfetch vs AWS Textract](https://txtfetch.com/compare/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](https://txtfetch.com/compare/azure-document-intelligence)**

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

per 1,000 pages (tiered by model)

**[txtfetch vs Mindee](https://txtfetch.com/compare/mindee)**

Subscription + credits for structured field extraction.

subscription + credits (1 credit = 1 page)

**[Why per-page pricing punishes long documents](https://txtfetch.com/compare/per-page-pricing)**

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

read the explainer →

**[Why not just run Apache Tika myself?](https://txtfetch.com/compare/self-hosted-tika)**

Tika is free. Here is the real build and runtime work behind it, sourced from our own recipe.

see what it takes →

**[Docling, MarkItDown, PyMuPDF4LLM, Marker, and MinerU](https://txtfetch.com/compare/libraries)**

Five open-source parsers you'd run yourself, compared on licence, GPU need, and what self-hosting actually costs.

see the comparison →

**[Ready to switch? See what your code looks like after.](https://txtfetch.com/migrate)**

The call you run today, the call that replaces it, and a drop-in adapter, per vendor.

see the migration guides →

**[How accurate is txtfetch, really?](https://txtfetch.com/benchmarks)**

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

see the benchmarks →

## Check the numbers yourself.

The benchmark runs against a committed corpus. You can re-run it.

[See the benchmarks →](https://txtfetch.com/benchmarks)

[Get an API key →](https://app.txtfetch.com/signup)