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

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"
    ]
}