OCR and document
Surya and Marker
Datalab OCR, layout and reading-order models (Surya) and the Marker converter built on them, which turns PDFs and other files into Markdown, JSON or HTML; code under Apache 2.0, weights under a modified AI Pubs Open Rail-M licence.
Levelmodel
ClassOCR and document
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessopen weights restricted
Runs onnot in the notes
Statusactive
R&D Topics
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image, text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights restricted
- Licence
- not in the notes sources
- Access routes
- open weights download, API
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperDatalabstartup, USA
Datalabstartup, USAModelSurya and MarkerDatalab, OCR and document
Surya and MarkerDatalab, OCR and documentR&D TopicsScene and Document Text Detection and Recognition (OCR)Document Layout, Table Structure and Key Information Extraction
Use CaseseKYC Document ExtractionFinanceDocument and Archive ProcessingPublic SectorUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Bank Tabungan Negara (BTN)In production, 1 Jul 2026
GrabIn production, 4 Nov 2025
Komisi Pemilihan Umum (KPU)In production, 4 Mar 2024Deployments of these use cases; none names this model.
PT Bank Tabungan Negara (BTN)In production, 1 Jul 2026GrabIn production, 4 Nov 2025Komisi Pemilihan Umum (KPU)In production, 4 Mar 2024Deployments of these use cases; none names this model.Organisations 1
R&D topics 2
Scene and Document Text Detection and Recognition (OCR)Finding text regions in images and reading the characters, from street signs to scanned p…produced byDocument Layout, Table Structure and Key Information ExtractionModels that use text, layout and image together to classify documents, find tables and pu…produced by
Sources
- github.com/datalab-to/marker https://github.com/datalab-to/marker
- github.com/datalab-to/surya https://github.com/datalab-to/surya
- replicate.com/datalab-to/marker https://replicate.com/datalab-to/marker
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Surya and Marker", https://aurion.semai.id/models/datalab-surya-marker/, records of October 2026.