JSON Parser

Class: JSONParserBlockV1

Source: inference.core.workflows.core_steps.formatters.json_parser.v1.JSONParserBlockV1

The block expects string input that would be produced by blocks exposing Large Language Models (LLMs) and Visual Language Models (VLMs). Input is parsed to JSON, and its keys are exposed as block outputs.

Accepted formats: - valid JSON strings - JSON documents wrapped with Markdown tags (very common for GPT responses)

{"my": "json"}

Details regarding block behavior:

• error_status is set True whenever at least one of expected_fields cannot be retrieved from input

• in case of multiple markdown blocks with raw JSON content - only first will be parsed and returned, while error_status will remain False

Type identifier

Use the following identifier in step "type" field: roboflow_core/json_parser@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
raw_json	str	The string with raw JSON to parse..	✅
expected_fields	List[str]	List of expected JSON fields. error_status field name is reserved and cannot be used..	❌

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to JSON Parser in version v1.

• inputs: Anthropic Claude, OpenAI, Llama 3.2 Vision, OpenAI, Florence-2 Model, Florence-2 Model, Google Gemini
• outputs: Crop Visualization, Stitch OCR Detections, SIFT, Blur Visualization, PTZ Tracking (ONVIF).md), Cache Set, Property Definition, Camera Focus, Mask Visualization, VLM as Classifier, Object Detection Model, Keypoint Detection Model, Image Preprocessing, Qwen2.5-VL, Object Detection Model, Bounding Rectangle, Cache Get, JSON Parser, SmolVLM2, Polygon Zone Visualization, LMM, QR Code Generator, Size Measurement, Florence-2 Model, Moondream2, Template Matching, Label Visualization, Pixel Color Count, Segment Anything 2 Model, Stability AI Image Generation, Keypoint Detection Model, Slack Notification, Relative Static Crop, Corner Visualization, Multi-Label Classification Model, Overlap Filter, Image Blur, Gaze Detection, Model Comparison Visualization, VLM as Detector, Time in Zone, Image Threshold, Roboflow Dataset Upload, CogVLM, Byte Tracker, Barcode Detection, Single-Label Classification Model, First Non Empty Or Default, Polygon Visualization, Keypoint Visualization, Stability AI Outpainting, Time in Zone, Grid Visualization, Delta Filter, OpenAI, Florence-2 Model, Twilio SMS Notification, Instance Segmentation Model, Image Slicer, Detections Stitch, Identify Changes, Continue If, Dynamic Crop, Anthropic Claude, QR Code Detection, Line Counter, Line Counter, LMM For Classification, Rate Limiter, Line Counter Visualization, Color Visualization, Image Contours, Image Convert Grayscale, Circle Visualization, Data Aggregator, Google Gemini, Cosine Similarity, Absolute Static Crop, Expression, Multi-Label Classification Model, Dynamic Zone, Byte Tracker, Detections Consensus, Stitch Images, Trace Visualization, Detections Filter, Roboflow Custom Metadata, OCR Model, Detections Transformation, Clip Comparison, YOLO-World Model, Halo Visualization, CLIP Embedding Model, Perspective Correction, Stability AI Inpainting, Buffer, Velocity, Webhook Sink, Distance Measurement, VLM as Detector, Perception Encoder Embedding Model, Triangle Visualization, Background Color Visualization, Detections Stabilizer, Byte Tracker, Path Deviation, Icon Visualization, SIFT Comparison, Pixelate Visualization, Llama 3.2 Vision, Instance Segmentation Model, CSV Formatter, VLM as Classifier, Reference Path Visualization, Google Vision OCR, Image Slicer, Identify Outliers, Depth Estimation, Roboflow Dataset Upload, Detection Offset, OpenAI, Classification Label Visualization, Dot Visualization, Email Notification, Local File Sink, OpenAI, Single-Label Classification Model, Bounding Box Visualization, Camera Calibration, Detections Classes Replacement, Ellipse Visualization, Detections Merge, Path Deviation, Model Monitoring Inference Aggregator, Dimension Collapse, SIFT Comparison, Dominant Color, Clip Comparison

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds JSON Parser in version v1 has.

Bindings

• input

  • raw_json (language_model_output): The string with raw JSON to parse..

• output

  • error_status (boolean): Boolean flag.
  • * (*): Equivalent of any element.

Example JSON definition of step JSON Parser in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/json_parser@v1",
    "raw_json": [
        "$steps.lmm.output"
    ],
    "expected_fields": [
        "field_a",
        "field_b"
    ]
}