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

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"
    ]
}