VLM Run
Multimodal extraction with structured predictions, files, skills, and feedback.
Reads a screenshot or scanned page and returns the fields on it as structured data.
Use VLM Run with Snow
Snow is a personal AI assistant that builds real apps for you, and they can put VLM Run to work.
What Snow can do with VLM Run
These are the VLM Run operations Snow and the apps you build with it can run. Sign in to choose which ones Snow may run without asking.
Reads7
Look at your data without changing it.
- Discover Extraction Schemas
List supported structured-extraction domains, or return the full JSON schema for one domain when domain is provided.
- Find Files
List uploaded files or find one by file ID or MD5 hash. In list mode, use offset and limit until has_more is false.
- Find Skills
List VLM Run skills or find one exact skill by ID, name, and optional version. In list mode, continue from next_offset while has_more is true.
- Get Run
Get the current status and result of one structured-extraction prediction or agent execution; call repeatedly to poll asynchronous work.
- List Agents
Return agents available to the connected account for selection before execution.
- List Artifacts
List artifact metadata belonging to exactly one chat session or agent execution. Use offset and limit to traverse pages until has_more is false.
- List Runs
List structured-extraction predictions or agent executions for the connected account. Use offset and limit to traverse pages until has_more is false.
Creates4
Add something new to your account.
- Create Skill
Create a reusable skill from exactly one uploaded zip, prompt, or chat session.
- Execute Agent
Start a VLM Run agent execution from an existing agent name or inline configuration over multimodal inputs. Execution may consume credits and is asynchronous by default; poll the returned ID with VLM_RUN_GET_RUN.
- Extract Structured JSON
Start structured JSON extraction from images, a document, a video, or audio using a domain, custom schema, or skill. Extraction may consume credits; document, video, and audio runs are asynchronous by default, so poll the returned prediction ID with VLM_RUN_GET_RUN.
- Upload File
Upload a local file to VLM Run for extraction, agent input, or skill creation. Retain the returned file ID for tools that consume uploaded files.
Related integrations
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