ScanScan vs Surya
ScanScan
baimiao.uzero.cnSurya
github.comSide by side
| Figure | ScanScan | Surya |
|---|---|---|
| Price from | — | $400/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 3 |
| Spec score · OCR software | 8.5 (#11) | 8.7 (#6) |
| Supported inputs | both | both |
| Primary platform | both | desktop |
| Support | The App Store listing says users can send feedback in app settings or email [email protected]. | Datalab lists community support on Free, email and Slack support on Team, and dedicated support on Enterprise. |
| Table recognition | It can recognize tables in images and convert them to Excel files. | Table recognition can return row and column geometry and, in full mode, HTML with spanning cells and header rows. |
Plans
In their own words
ScanScan
ScanScan has no write-up on Specifiction yet; its figures are above.
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.