document extraction apis

priced per thousand pages so the numbers actually compare, and checked on the two things that decide it — what a 'page' costs when it has a table on it, and whether your contracts train someone's model.

12 listed · 9 of them researched by us · featured first, then most upvoted

Nanonets

trainable extraction models for invoices and forms, with workflows

#trainable#workflows

Google Document AI

google cloud's parsers, including specialised invoice and id processors

#gcp#processors

Extend

document processing with evaluation tooling for accuracy in production

#evals#production

Docling

we checked thisfree

free forever, permissive on both the code and the models, and nothing ever leaves your infrastructure.

#anyone-processing-docume#which-in-this-category-i

Unstructured

we checked this$30 / 1,000 pages

zero data retention on every plan including the free one, and a bill that stops at $3,000 however much you send.

#teams-handling-sensitive

LlamaParse

we checked this$1.25 / 1,000 pages

the cheapest hosted parsing here at basic tier, with the accurate mode priced nowhere.

#rag-pipelines-doing-high

Mistral OCR

we checked this$4 / 1,000 pages

a clean flat rate that quietly doubled in june.

#straightforward-bulk-con#predictable-rate-matters

Reducto

we checked this$15 / 1,000 pages

the best table extraction here, proven on a benchmark it built and published rather than one it cites.

#dense-financial#scientific-documents-whe

Chunkr

we checked this$5 / 1,000 pages

cheapest at volume, dual-licensed for self-hosting — and the free build ships deliberately weaker models.

#high-volume-pipelines-wi

Azure AI Document Intelligence

we checked this~$10 / 1,000 pages

the best privacy default among the big clouds, behind a pricing table that shows dashes.

#regulated-teams-already-#receipts#identity-documents

AWS Textract

we checked this$1.50 / 1,000 pages

the cheapest plain ocr here, the most expensive forms extraction, and it trains on your documents unless you stop it.

#aws-native-pipelines-doi#with-the-training-opt-ou

Marker

we checked this$4 / 1,000 pages

apache-licensed code, and weights you may not use once your company raises five million dollars.

#small-teams-below-the-fu#anyone-using-the-hosted-

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