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 setTrue
whenever at least one ofexpected_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 remainFalse
Type identifier¶
Use the following identifier in step "type"
field: roboflow_core/json_parser@v1
to 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
,Florence-2 Model
,Google Gemini
,Llama 3.2 Vision
,OpenAI
,OpenAI
,Anthropic Claude
- outputs:
Keypoint Visualization
,Google Gemini
,Detections Stabilizer
,Path Deviation
,Gaze Detection
,Reference Path Visualization
,Stitch Images
,Image Blur
,Florence-2 Model
,Local File Sink
,Barcode Detection
,Relative Static Crop
,Clip Comparison
,Cosine Similarity
,Icon Visualization
,Time in Zone
,Dimension Collapse
,Polygon Zone Visualization
,Identify Outliers
,Instance Segmentation Model
,Dynamic Zone
,Dynamic Crop
,Grid Visualization
,Property Definition
,Detections Consensus
,VLM as Classifier
,Single-Label Classification Model
,Camera Calibration
,Perception Encoder Embedding Model
,VLM as Classifier
,Pixel Color Count
,QR Code Generator
,SIFT
,Camera Focus
,Detections Filter
,Llama 3.2 Vision
,Triangle Visualization
,Line Counter Visualization
,Multi-Label Classification Model
,Email Notification
,Roboflow Dataset Upload
,Time in Zone
,Image Slicer
,Byte Tracker
,Single-Label Classification Model
,OCR Model
,Pixelate Visualization
,Byte Tracker
,Object Detection Model
,Dot Visualization
,Image Slicer
,Roboflow Dataset Upload
,OpenAI
,Model Monitoring Inference Aggregator
,VLM as Detector
,Buffer
,Trace Visualization
,Stability AI Outpainting
,Multi-Label Classification Model
,Overlap Filter
,CogVLM
,Corner Visualization
,Background Color Visualization
,First Non Empty Or Default
,Halo Visualization
,Ellipse Visualization
,OpenAI
,Anthropic Claude
,Keypoint Detection Model
,Image Contours
,Circle Visualization
,Image Threshold
,Absolute Static Crop
,Perspective Correction
,Color Visualization
,QR Code Detection
,Instance Segmentation Model
,PTZ Tracking (ONVIF)
.md),Blur Visualization
,Keypoint Detection Model
,Stability AI Inpainting
,SIFT Comparison
,Cache Get
,Detections Merge
,Roboflow Custom Metadata
,SmolVLM2
,Depth Estimation
,Template Matching
,Stability AI Image Generation
,Crop Visualization
,Stitch OCR Detections
,Time in Zone
,Continue If
,Rate Limiter
,Segment Anything 2 Model
,Dominant Color
,Expression
,SIFT Comparison
,Data Aggregator
,Bounding Rectangle
,Size Measurement
,Detection Offset
,Object Detection Model
,Twilio SMS Notification
,Model Comparison Visualization
,CLIP Embedding Model
,Clip Comparison
,LMM
,CSV Formatter
,Path Deviation
,Detections Transformation
,Mask Visualization
,Byte Tracker
,Qwen2.5-VL
,JSON Parser
,Webhook Sink
,Slack Notification
,Velocity
,Cache Set
,Detections Classes Replacement
,YOLO-World Model
,Delta Filter
,Classification Label Visualization
,Polygon Visualization
,OpenAI
,LMM For Classification
,Line Counter
,Moondream2
,Bounding Box Visualization
,Distance Measurement
,Image Preprocessing
,Image Convert Grayscale
,Google Vision OCR
,Label Visualization
,Line Counter
,Detections Stitch
,Florence-2 Model
,Identify Changes
,VLM as Detector
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
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"
]
}