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Asprise OCR SDK vs Surya

Asprise OCR SDK

asprise.com

Surya

github.com

Side by side

FigureAsprise OCR SDKSurya
Price from—$400/mo
Free plan—Yes
Free trialYes—
Open source——
WindowsYes—
macOSYesYes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published33
Spec score · OCR API Software8.4 (#6)8.2 (#13)
Spec score · OCR software7.9 (#27)8.7 (#6)
Intended usersThe product is presented as an SDK for developers building Java, .NET, Python, C/C++, and Delphi applications, including desktop and server applications.Datalab says its platform serves AI/ML teams, enterprises, and product teams building AI agents, RAG systems, and document automation workflows.
LanguagesThe documentation lists more than 20 recognition languages, while the evaluation version recognizes English, Spanish, Portuguese, German, and French.The repository describes Surya as supporting OCR in 90+ languages.
SupportThe Java trial download page directs users with problems to Asprise support, and the company contact page lists [email protected].Datalab lists community support on Free, email and Slack support on Team, and dedicated support on Enterprise.

Plans

Asprise OCR SDK

  • Lite$5,998, paid once
  • STD$9,998, paid once
  • ENT$15,998, paid once

Asprise OCR SDK pricing →

Surya

  • FreeFree
  • Team$400 a month
  • EnterprisePriced on request

Surya pricing →

In their own words

Asprise OCR SDK

Asprise OCR SDK has no write-up on Specifiction yet; its figures are above.

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Surya

Surya is a 650M-parameter OCR model for extracting text and analyzing document structure. It handles layout, reading order and tables, and supports OCR in 91 languages. Surya 2 returns page content as structured blocks that can include HTML, polygons, bounding boxes, confidence values and reading order. Table recognition can provide row and column geometry; full mode can also return HTML with spanning cells and header rows. Equations found in page OCR are represented as KaTeX-compatible LaTeX within math tags. Users can work with a Python package, command-line tools or an interactive Streamlit app for images and PDFs. Layout, OCR and table recognition require an inference backend: vLLM on NVIDIA GPUs or llama.cpp on CPU and Apple Silicon, or a connection to an existing server. Surya is free and open source. The code uses Apache 2.0, while the model weights have a separate modified AI Pubs Open Rail-M license with commercial-use conditions. It is specialized for documents, not photos or natural scenes.

Visit github.com