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

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"
    ]
}