Document Pre-Trained Transformers (Parsing Models)

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Parsing Models Overview

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Availability

• in the Playground
• when calling the or Parse Jobs APIs
• when using the Python and TypeScript libraries

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Model Versions and Snapshots

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Why Model Versioning Matters

1. Use a general model name (like dpt-2 or dpt-2-latest) to always get the newest version. This automatically give you improvements and updates, but parsing results may change when new model versions are released
2. Use a specific snapshot (like dpt-2-20250919) to pin to an exact model version. This ensures consistent parsing results over time, but you won’t receive improvements.

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Understanding Snapshots and -latest

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DPT-2

• Agentic Table Captioning: can parse large, complex, no-gridline, and merged-cell tables with unprecedented fidelity. Every cell is preserved, aligned, and made accessible—enabling cell-level grounding so you know exactly where values came from.
• Refined Figure Captioning: Logos, seals, and small figures are now identified precisely and concisely, eliminating the noise of verbose descriptions.
• Smarter Layout Detection: Fewer chunks are missed, even in messy scans. can even detect stamps inside tables and process them separately—critical for compliance workflows.
• Expanded Chunk Ontology: Beyond text, tables, and figures, now recognizes attestation (signatures, stamps, seals), ID cards, logos, barcodes, and QR codes—ensuring all document elements are classified consistently. To learn more, go to Chunk Types.

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dpt-2-20260410

• Improved cell parsing in forms and tables: Text positioned at different locations within a cell is now captured more completely.
• Improved column alignment in complex tables: Cell data now more accurately aligns with its corresponding column headers.

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dpt-2-20260302

• Table boundary detection: Tables that were previously split into multiple chunks are now correctly identified as a single table.
• Improved large table accuracy: Large tables are now parsed more accurately.
• Special characters returned as Unicode: Characters such as asterisks are now returned as their Unicode characters (for example, *) rather than as spelled-out strings like asterisk.

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DPT-2 Availability

• ADE Parse Jobs

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Set the Model in the API

curl -X POST 'https://api.va.landing.ai/v1/ade/parse' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -F 'document=@document.pdf' \
  -F 'model=dpt-2-latest'

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Set the Model with the Library

from pathlib import Path
from landingai_ade import LandingAIADE

client = LandingAIADE()

response = client.parse(
    document=Path("/path/to/document.pdf"),
    model="dpt-2-latest"
)

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Set the Model in the Playground

1. Open a project in the Playground.
2. Click the Parse tab.
3. In the top-right corner of the parse result panel, click Config.
4. From the Model drop-down, select the model you want to use.
5. Click Re-run all files.