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Data & context

Surya

Document text and structural analysis components, including reading order and table geometry.

21,442 stars

Overview

Research summary

Surya extracts text and document structure from images and documents using learned models. Its current toolkit includes multilingual OCR, layout analysis, reading order and table recognition, together with smaller components for text detection and OCR error detection. Developers can integrate its Python predictors or command-line tools into document processing workflows where plain text extraction loses spatial structure.

It is maintained by Datalab and is also used within document conversion systems. Code is Apache-2.0; model weights use a modified OpenRAIL-M license with commercial eligibility limits, so the code license does not describe all deployed assets.

Repository summary

Stars
21,442
Open issues
Unavailable
Last push
2026-09-11
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services available

The provider offers paid products or services. Free options may also be available.

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Commercial offering checked 2026-10-02.

Licence scope

Code:Apache-2.0Model weights:ModifiedAIPubsOpenRAIL-M

Model weights include commercial eligibility limits; the code license does not cover all deployed assets.

Implementation

Recorded implementation details and interfaces for Surya.

Implementation details

Python document analysis toolkit with pretrained neural models

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Code:Apache-2.0Model weights:ModifiedAIPubsOpenRAIL-M

Model weights include commercial eligibility limits; the code license does not cover all deployed assets.

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

datalab-to/surya ↗

Stars
21,442
Open issues
Unavailable
Last push
2026-09-11
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Documentation

Recorded references and research provenance for this entry.

Recorded sources 6

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

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Communities