Project AURIONAI Use-Cases Research & Innovation
Microsoft AI
OCR and document

Table Transformer

Microsoft DETR models for detecting tables and recognising their structure, trained on PubTables-1M.

Figure from the Table Transformer paper: an example presentation table and the structure that must be inferred from it.
Levelmodel
ClassOCR and document
Parameters28.82M
Contextnot in the notes
Released30 Sep 2021
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

Industry Use Cases

R&D Topics

Identity

Developer
Microsoft AI
Family
not in the notes
Released
30 Sep 2021 sourcesannouncement page
Weights published
14 Oct 2022
Record checked
12 Oct 2026
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
28.82M sources
Active parameters
–
Checkpoint parameters
–
Note
Table detection and table structure recognition (v1.0 and v1.1).
Context length
not in the notes
Input
image
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 permissive
Licence
MIT License sources
Access routes
open weights download, cloud marketplace
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.

Sources

  1. arxiv.org/abs/2110.00061 https://arxiv.org/abs/2110.00061
  2. huggingface.co/microsoft/table-transformer-detection https://huggingface.co/microsoft/table-transformer-detection
  3. jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json https://jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json
  4. huggingface.co/api/models?pipeline_tag=object-detection&sort... https://huggingface.co/api/models?pipeline_tag=object-detection&sort=downloads&limit=50
  5. huggingface.co/microsoft/table-transformer-structure-recogni... https://huggingface.co/microsoft/table-transformer-structure-recognition
  6. modelscope.cn/models/AI-ModelScope/table-transformer-struct... https://www.modelscope.cn/models/AI-ModelScope/table-transformer-structure-recognition-v1.1-all

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Table Transformer", https://aurion.semai.id/models/microsoft-table-transformer/, records of October 2026.