OCR and document
Pix2Struct
Google image-to-text model pretrained by parsing screenshots, fine-tuned for document, chart and UI understanding.
Levelmodel
ClassOCR and document
Parameters282.29M
Contextnot in the notes
Released7 Oct 2022
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
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
- 282.29M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Pix2Struct, DePlot (arXiv 2212.10505) and MatCha (arXiv 2212.09662).
- 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
- Apache License 2.0 sources
- Access routes
- open weights download
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
DeveloperGooglebig tech, USA
Googlebig tech, USAModelPix2StructGoogle, OCR and document
Pix2StructGoogle, OCR and documentR&D TopicsDocument Parsing Vision-Language Models
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
Sources
- arxiv.org/abs/2210.03347 https://arxiv.org/abs/2210.03347
- huggingface.co/google/pix2struct-docvqa-base https://huggingface.co/google/pix2struct-docvqa-base
- huggingface.co/api/models?pipeline_tag=visual-question-answe... https://huggingface.co/api/models?pipeline_tag=visual-question-answering&sort=downloads&limit=50
- huggingface.co/google/deplot https://huggingface.co/google/deplot
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Pix2Struct", https://aurion.semai.id/models/google-pix2struct/, records of October 2026.