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PaddleOCR vs Surya

Our take

Pick PaddleOCR if you're an engineer who will run Apache PaddleOCR or poke the Space. Pick Surya if you're an engineer who will run Surya locally or pay Datalab Convert. Skip PaddleOCR if you're on a team that need a public $/1k SLA (Mistral OCR) without a GPU. Skip Surya if you're on a ops team who want a mailbox (Parseur).

PaddleOCR

PaddleOCR

Baidu’s Apache document OCR /

Surya

Surya

Datalab’s document layout + OCR toolkit

Best for

PaddleOCR Local or demo OCR you can self-host

Surya Boxes around text/tables on a page

Free plan

PaddleOCR $0 · apache-2.0. You pay hardware

Surya $0 · weights: free for research/personal; commercial free under Datalab’s $5M Marker/Surya threshold — confirm LICENSE

Lowest paid

PaddleOCR Not published by the vendor

Surya Convert — lite $0.50

Next step up

PaddleOCR

Surya Convert — fast / balanced $4

Runs where

PaddleOCR Local or hosted

Surya Hosted

Watch out

PaddleOCR The Space can be slow

Surya Weights are not a blanket commercial Apache grant

Last checked

PaddleOCR 2026-10-28 · github.com/PaddlePaddle/PaddleOCR

Surya 2026-10-28 · datalab.to/pricing

Which one, then?

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